Dynamic, integrated, multi-service network cross-layer optimization

• US 20090147684A1
• Filed: 12/10/2007
• Published: 06/11/2009
• Est. Priority Date: 12/10/2007
• Status: Abandoned Application

• Current Assignee: Reza Majidi-Ahy
• Original Assignee: Reza Majidi-Ahy
• Inventors: Majidi-Ahy, Reza
• Application Number:
  US12/001,090
• Publication Number:
  US 20090147684A1
• Time in Patent Office: Days
• US Class Current: 370/236
• CPC Class Codes: H04L 12/66 Arrangements for connecting between networks having differing types of switching systems, e.g. gateways

Abstract

The integrated network optimization as a comprehensive framework for a multi-variable optimization across all seven layers of the OSI model, of the network resources and their allocations to optimally enable services to the end-users based on their service level agreements (SLAs), in particular but not limited to wireless networks.

This approach is real-time and thus dynamically in an integrated fashion allocates the resources of the network in an optimal manner to the many users on the network simultaneously such that the nature and requirements of each application, each user is using are addressed.

This invention optimizes the utilization of resources & spectrum of the network, the quality of the experience of the users of the network, the quality of the applications and services delivered by the network to the users, the economics of the network & its operation by optimal utilization of the resources for wireless networks.

Claims

1. A dynamic, integrated, multi-service network cross-layer optimization for a novel integrated approach in the optimization of the ip network parameters and resources such that the result would be a fundamentally and substantially more efficient and effective network, comprising:

means for provides the physical layer feedback to mac layer for link adaptation dynamically;

means for provides the mac layer feedback to phy layer for link adaptation parameter settings dynamically;

means for provides the mac layer feedback to ip layer for congestion or distortion based routing dynamically;

means for provides the mac layer feedback to the transport layer for protocol optimization dynamically;

means for provides the ip layer feedback to the transport layer for optimization such as congestion-distortion based scheduling dynamically;

means for provides the transport layer feedback to the ip layer for optimization such as setting the parameters for congestion-distortion based routing dynamically;

means for provides the applications layer feedback to the mac layer for application layer source encoding dynamically;

means for provides the applications layer feedback to the transport layer for application layer encoding and packetization dynamically;

means for provides the applications layer feedback to the presentation layer for application layer encryption &

compression requirements dynamically;

means for provides the session layer feedback to the mac layer for session continuity such as in mobility and portability or multi-devices for the end-user;

means for provides the (mac) link layer feedback to the applications layer for optimizing the source encoding &

packetization based on the airlink resources availability dynamically;

means for provides the (mac) link layer feedback to the presentation layer for optimizing the compression based on the airlink resources availability dynamically;

means for in a traditional ip network (such as a data-oriented wireline network), the 7 layers of the osi model are independent addressing the different functions performed. in a broadband wireless network however there is increasing need for coupling and feedback between the different layers of the osi model. the joint mac-phy layers optimization is now largely adopted in the broadband wireless ip networks standardization such as wimax and 3gpp.

the integrated network optimization is a comprehensive framework for a multi-variable optimization across all seven layers of the osi model, of the network resources and their allocations to optimally enable services to the end-users based on their slas.

therefore the application layer (layer 7) provides the application-specific requirements as in section 6 as constrained by the specific end-user profile and sla.

the presentation layer (layer 6), provides the compression &

sla-specific encryption as in section 6 as constrained by the specific end-user profile and sla, as well as the compression algorithm and parameters as required for the delivery of the service and network optimization within the sla range.

the session layer (layer 5), provides the session setup, initiation and continuity, &

the sla-specific mobility and portability as constrained by the specific end-user profile and sla, as well as the session continuity algorithms and parameters as required for the delivery of the service and network optimization within the sla range, and as the end-user is in the portable or mobile mode.

the transport layer (layer 4) provides the transport protocol optimization, control of the flows, and minimization of the congestions and distortions as required for the delivery of the service and network optimization within the sla range.

the network layer (layer 3) provides the qos parameters optimization, as well as ip-routing optimization for congestion and wireless channel degradation (as applicable) as required for the delivery of the service and network optimization within the sla range.

the mac layer (layer 2), provides the qos parameters optimization per the sla, in scheduling the traffic, as well as physical layer interfacing optimization for congestion and wireless channel degradation (as applicable) inclusive of partial link adaptation parameters optimization, as required for the delivery of the service and network optimization within the sla range.

the phy layer (layer 1) provides the partial link adaptation parameters optimization (such as adaptive modulation and coding, multi-antenna algorithms.), as well as mac layer interfacing optimization for and wireless channel degradation (as applicable) as required for the delivery of the service and network optimization within the sla range.

in a traditional ip network (such as a data-oriented wireline network), the 7 layers of the osi model are independent addressing the different functions performed. in a broadband wireless network however there is increasing need for coupling and feedback between the different layers of the osi model. the joint mac-phy layers optimization is now largely adopted in the broadband wireless ip networks standardization such as wimax and 3gpp.

with multiple services (multi-tier voip, video-o-ip, data,) over the broadband wireless ip networks, the need for these interactions between the various osi layers for an effective and efficient ip network with substantial multimedia traffic increases substantially.

an integrated approach to optimization involving all seven layers or a subset, for robust and resilient, high quality ip-based multimedia communication in a real-world network is the subject matter of this patent application. in a real-world network the links between the end-users and the access network node (base stations) compete for the network resources. specifically in a single base station area of coverage a multitude of end-users in the presence of varying multipath and interference compete for the network resources for that base station. in a real-world multi-base station the end-users associated with one base station also compete for network resources with the end-users of other base stations as well.

at the core of the network the sla-based delivery of the services (multiple to each end-user) requires management and optimization all the network resources. the dynamic integrated multi-service network optimization is the framework leveraging the capabilities of all seven layers of the osi model by fully exploiting the feedback and the interaction amongst these layers to achieve drastically improved levels of optimization;

means for an integrated optimization and its framework for a multi-service network whereby the network resources, their utilization, and their allocations are optimized;

means for an integrated optimization and its framework for a multi-service network whereby the network resources, their utilization, and their allocations are optimized reflecting the service-level agreements (slas) as constraints for the multi-variable optimization process;

means for an integrated optimization and its framework for an end-user utilizing one or more applications simultaneously, in a multi-service network whereby the network resources, their utilization, and their allocations are optimized, such that the one or more applications are compliant with the service-level agreement requirements inclusive of the service delivery of voip, video-o-ip, and data as such applications;

means for an integrated optimization and its framework for a multitude of users per the access node (such as a base station) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example);

means for an integrated optimization and its framework for a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example);

means for an integrated optimization and its framework for a multi-service ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference;

means for an integrated optimization and its framework for video telephony in an ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference. example include the cross-layer optimization including the source encoding, compression, congestion &

distortion based scheduling, congestion &

distortion based routing, and link layer link allocation, adaptation and optimization;

means for an integrated optimization and its framework for video multicast &

broadcast in an ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference. example include the cross-layer optimization including the source encoding, compression, congestion &

distortion based scheduling, congestion &

distortion based routing, and link layer link allocation, adaptation and optimization;

means for i. an integrated optimization and its framework for voip in an ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference. example include the cross-layer optimization including the source encoding, compression, congestion &

distortion based scheduling, congestion &

distortion based routing, and link layer link allocation, adaptation and optimization;

means for an integrated optimization and its framework for video-o-ip (such as video telephony, video multicast, or iptv) for a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example);

means for an integrated optimization and its framework for mobility and portability management and session continuity (such as video telephony, video multicast, or iptv) for one or a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example); and

means for an integrated optimization and its framework for voice-o-ip for a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example).

2. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for provides the physical layer feedback to mac layer for link adaptation dynamically comprises a 11-to-12 feedback.

3. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for provides the mac layer feedback to phy layer for link adaptation parameter settings dynamically comprises a 12-to-11 feedback.

4. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for provides the mac layer feedback to ip layer for congestion or distortion based routing dynamically comprises a 12-to-13 feedback.

5. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for provides the mac layer feedback to the transport layer for protocol optimization dynamically comprises a 12-to-14 feedback.

6. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for provides the ip layer feedback to the transport layer for optimization such as congestion-distortion based scheduling dynamically comprises a 13-to-14 feedback.

7. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for provides the transport layer feedback to the ip layer for optimization such as setting the parameters for congestion-distortion based routing dynamically comprises a 14-to-13 feedback.

8. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for provides the applications layer feedback to the mac layer for application layer source encoding dynamically comprises a 17-to-12 feedback.

9. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for provides the applications layer feedback to the transport layer for application layer encoding and packetization dynamically comprises a 17-to-14 feedback.

10. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for provides the applications layer feedback to the presentation layer for application layer encryption &

compression requirements dynamically comprises a 17-to-16 feedback.

11. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for provides the session layer feedback to the mac layer for session continuity such as in mobility and portability or multi-devices for the end-user comprises a 15-to-12 feedback.

12. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for provides the (mac) link layer feedback to the applications layer for optimizing the source encoding &

packetization based on the airlink resources availability dynamically comprises a 12-to-17 feedback.

13. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for provides the (mac) link layer feedback to the presentation layer for optimizing the compression based on the airlink resources availability dynamically comprises a 12-to-16 feedback.

14. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for in a traditional ip network (such as a data-oriented wireline network), the 7 layers of the osi model are independent addressing the different functions performed. in a broadband wireless network however there is increasing need for coupling and feedback between the different layers of the osi model. the joint mac-phy layers optimization is now largely adopted in the broadband wireless ip networks standardization such as wimax and 3gpp.

the integrated network optimization is a comprehensive framework for a multi-variable optimization across all seven layers of the osi model, of the network resources and their allocations to optimally enable services to the end-users based on their slas.

therefore the application layer (layer 7) provides the application-specific requirements as in section 6 as constrained by the specific end-user profile and sla.

the presentation layer (layer 6), provides the compression &

sla-specific encryption as in section 6 as constrained by the specific end-user profile and sla, as well as the compression algorithm and parameters as required for the delivery of the service and network optimization within the sla range.

the session layer (layer 5), provides the session setup, initiation and continuity, &

the sla-specific mobility and portability as constrained by the specific end-user profile and sla, as well as the session continuity algorithms and parameters as required for the delivery of the service and network optimization within the sla range, and as the end-user is in the portable or mobile mode.

the transport layer (layer 4) provides the transport protocol optimization, control of the flows, and minimization of the congestions and distortions as required for the delivery of the service and network optimization within the sla range.

the network layer (layer 3) provides the qos parameters optimization, as well as ip-routing optimization for congestion and wireless channel degradation (as applicable) as required for the delivery of the service and network optimization within the sla range.

the mac layer (layer 2), provides the qos parameters optimization per the sla, in scheduling the traffic, as well as physical layer interfacing optimization for congestion and wireless channel degradation (as applicable) inclusive of partial link adaptation parameters optimization, as required for the delivery of the service and network optimization within the sla range.

the phy layer (layer 1) provides the partial link adaptation parameters optimization (such as adaptive modulation and coding, multi-antenna algorithms.), as well as mac layer interfacing optimization for and wireless channel degradation (as applicable) as required for the delivery of the service and network optimization within the sla range.

in a traditional ip network (such as a data-oriented wireline network), the 7 layers of the osi model are independent addressing the different functions performed. in a broadband wireless network however there is increasing need for coupling and feedback between the different layers of the osi model. the joint mac-phy layers optimization is now largely adopted in the broadband wireless ip networks standardization such as wimax and 3gpp.

with multiple services (multi-tier voip, video-o-ip, data,) over the broadband wireless ip networks, the need for these interactions between the various osi layers for an effective and efficient ip network with substantial multimedia traffic increases substantially.

an integrated approach to optimization involving all seven layers or a subset, for robust and resilient, high quality ip-based multimedia communication in a real-world network is the subject matter of this patent application. in a real-world network the links between the end-users and the access network node (base stations) compete for the network resources. specifically in a single base station area of coverage a multitude of end-users in the presence of varying multipath and interference compete for the network resources for that base station. in a real-world multi-base station the end-users associated with one base station also compete for network resources with the end-users of other base stations as well.

at the core of the network the sla-based delivery of the services (multiple to each end-user) requires management and optimization all the network resources. the dynamic integrated multi-service network optimization is the framework leveraging the capabilities of all seven layers of the osi model by fully exploiting the feedback and the interaction amongst these layers to achieve drastically improved levels of optimization comprises a cross-layer optimization framework.

15. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for an integrated optimization and its framework for a multi-service network whereby the network resources, their utilization, and their allocations are optimized comprises an integrated optimization framework.

16. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for an integrated optimization and its framework for a multi-service network whereby the network resources, their utilization, and their allocations are optimized reflecting the service-level agreements (slas) as constraints for the multi-variable optimization process comprises a sla-based optimization framework.

17. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for an integrated optimization and its framework for an end-user utilizing one or more applications simultaneously, in a multi-service network whereby the network resources, their utilization, and their allocations are optimized, such that the one or more applications are compliant with the service-level agreement requirements inclusive of the service delivery of voip, video-o-ip, and data as such applications comprises a multi-applications.

18. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for an integrated optimization and its framework for a multitude of users per the access node (such as a base station) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example) comprises a multi-user framework.

19. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for an integrated optimization and its framework for a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example) comprises a multi-tier wireless network.

20. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for an integrated optimization and its framework for a multi-service ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference comprises a wireless networks optimization framework.

21. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for an integrated optimization and its framework for video telephony in an ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference. example include the cross-layer optimization including the source encoding, compression, congestion &

distortion based scheduling, congestion &

distortion based routing, and link layer link allocation, adaptation and optimization comprises a video telephony framework.

22. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for an integrated optimization and its framework for video multicast &

broadcast in an ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference. example include the cross-layer optimization including the source encoding, compression, congestion &

distortion based scheduling, congestion &

distortion based routing, and link layer link allocation, adaptation and optimization comprises a video multicast &

broadcast.

23. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for i. an integrated optimization and its framework for voip in an ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference. example include the cross-layer optimization including the source encoding, compression, congestion &

distortion based scheduling, congestion &

distortion based routing, and link layer link allocation, adaptation and optimization comprises a voice-over-ip over wireless.

24. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for an integrated optimization and its framework for video-o-ip (such as video telephony, video multicast, or iptv) for a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example) comprises a video-over-ip.

25. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for an integrated optimization and its framework for mobility and portability management and session continuity (such as video telephony, video multicast, or iptv) for one or a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example) comprises a mobility/portability management.

26. The dynamic, integrated, multi-service network cross-layer optimization in accordance with claim 1, wherein said means for an integrated optimization and its framework for voice-o-ip for a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example) comprises a multi-user, multi-applications wireless networks.

27. A dynamic, integrated, multi-service network cross-layer optimization for a novel integrated approach in the optimization of the ip network parameters and resources such that the result would be a fundamentally and substantially more efficient and effective network, comprising:

a 11-to-12 feedback, for provides the physical layer feedback to mac layer for link adaptation dynamically;

a 12-to-11 feedback, for provides the mac layer feedback to phy layer for link adaptation parameter settings dynamically;

a 12-to-13 feedback, for provides the mac layer feedback to ip layer for congestion or distortion based routing dynamically;

a 12-to-14 feedback, for provides the mac layer feedback to the transport layer for protocol optimization dynamically;

a 13-to-14 feedback, for provides the ip layer feedback to the transport layer for optimization such as congestion-distortion based scheduling dynamically;

a 14-to-13 feedback, for provides the transport layer feedback to the ip layer for optimization such as setting the parameters for congestion-distortion based routing dynamically;

a 17-to-12 feedback, for provides the applications layer feedback to the mac layer for application layer source encoding dynamically;

a 17-to-14 feedback, for provides the applications layer feedback to the transport layer for application layer encoding and packetization dynamically;

a 17-to-16 feedback, for provides the applications layer feedback to the presentation layer for application layer encryption &

compression requirements dynamically;

a 15-to-12 feedback, for provides the session layer feedback to the mac layer for session continuity such as in mobility and portability or multi-devices for the end-user;

a 12-to-17 feedback, for provides the (mac) link layer feedback to the applications layer for optimizing the source encoding &

packetization based on the airlink resources availability dynamically;

a 12-to-16 feedback, for provides the (mac) link layer feedback to the presentation layer for optimizing the compression based on the airlink resources availability dynamically;

a cross-layer optimization framework, for in a traditional ip network (such as a data-oriented wireline network), the 7 layers of the osi model are independent addressing the different functions performed. in a broadband wireless network however there is increasing need for coupling and feedback between the different layers of the osi model. the joint mac-phy layers optimization is now largely adopted in the broadband wireless ip networks standardization such as wimax and 3gpp.

the integrated network optimization is a comprehensive framework for a multi-variable optimization across all seven layers of the osi model, of the network resources and their allocations to optimally enable services to the end-users based on their slas.

therefore the application layer (layer 7) provides the application-specific requirements as in section 6 as constrained by the specific end-user profile and sla.

the presentation layer (layer 6), provides the compression &

sla-specific encryption as in section 6 as constrained by the specific end-user profile and sla, as well as the compression algorithm and parameters as required for the delivery of the service and network optimization within the sla range.

the session layer (layer 5), provides the session setup, initiation and continuity, &

the sla-specific mobility and portability as constrained by the specific end-user profile and sla, as well as the session continuity algorithms and parameters as required for the delivery of the service and network optimization within the sla range, and as the end-user is in the portable or mobile mode.

the transport layer (layer 4) provides the transport protocol optimization, control of the flows, and minimization of the congestions and distortions as required for the delivery of the service and network optimization within the sla range.

the network layer (layer 3) provides the qos parameters optimization, as well as ip-routing optimization for congestion and wireless channel degradation (as applicable) as required for the delivery of the service and network optimization within the sla range.

the mac layer (layer 2), provides the qos parameters optimization per the sla, in scheduling the traffic, as well as physical layer interfacing optimization for congestion and wireless channel degradation (as applicable) inclusive of partial link adaptation parameters optimization, as required for the delivery of the service and network optimization within the sla range.

the phy layer (layer 1) provides the partial link adaptation parameters optimization (such as adaptive modulation and coding, multi-antenna algorithms.), as well as mac layer interfacing optimization for and wireless channel degradation (as applicable) as required for the delivery of the service and network optimization within the sla range.

in a traditional ip network (such as a data-oriented wireline network), the 7 layers of the osi model are independent addressing the different functions performed. in a broadband wireless network however there is increasing need for coupling and feedback between the different layers of the osi model. the joint mac-phy layers optimization is now largely adopted in the broadband wireless ip networks standardization such as wimax and 3gpp.

with multiple services (multi-tier voip, video-o-ip, data,) over the broadband wireless ip networks, the need for these interactions between the various osi layers for an effective and efficient ip network with substantial multimedia traffic increases substantially.

an integrated approach to optimization involving all seven layers or a subset, for robust and resilient, high quality ip-based multimedia communication in a real-world network is the subject matter of this patent application. in a real-world network the links between the end-users and the access network node (base stations) compete for the network resources. specifically in a single base station area of coverage a multitude of end-users in the presence of varying multipath and interference compete for the network resources for that base station. in a real-world multi-base station the end-users associated with one base station also compete for network resources with the end-users of other base stations as well.

at the core of the network the sla-based delivery of the services (multiple to each end-user) requires management and optimization all the network resources. the dynamic integrated multi-service network optimization is the framework leveraging the capabilities of all seven layers of the osi model by fully exploiting the feedback and the interaction amongst these layers to achieve drastically improved levels of optimization;

an integrated optimization framework, for an integrated optimization and its framework for a multi-service network whereby the network resources, their utilization, and their allocations are optimized;

a sla-based optimization framework, for an integrated optimization and its framework for a multi-service network whereby the network resources, their utilization, and their allocations are optimized reflecting the service-level agreements (slas) as constraints for the multi-variable optimization process;

a multi-applications, for an integrated optimization and its framework for an end-user utilizing one or more applications simultaneously, in a multi-service network whereby the network resources, their utilization, and their allocations are optimized, such that the one or more applications are compliant with the service-level agreement requirements inclusive of the service delivery of voip, video-o-ip, and data as such applications;

a multi-user framework, for an integrated optimization and its framework for a multitude of users per the access node (such as a base station) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example);

a multi-tier wireless network, for an integrated optimization and its framework for a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example);

a wireless networks optimization framework, for an integrated optimization and its framework for a multi-service ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference;

a video telephony framework, for an integrated optimization and its framework for video telephony in an ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference. example include the cross-layer optimization including the source encoding, compression, congestion &

distortion based scheduling, congestion &

distortion based routing, and link layer link allocation, adaptation and optimization;

a video multicast &

broadcast, for an integrated optimization and its framework for video multicast &

broadcast in an ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference. example include the cross-layer optimization including the source encoding, compression, congestion &

distortion based scheduling, congestion &

distortion based routing, and link layer link allocation, adaptation and optimization;

a voice-over-ip over wireless, for i. an integrated optimization and its framework for voip in an ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference. example include the cross-layer optimization including the source encoding, compression, congestion &

distortion based scheduling, congestion &

distortion based routing, and link layer link allocation, adaptation and optimization;

a video-over-ip, for an integrated optimization and its framework for video-o-ip (such as video telephony, video multicast, or iptv) for a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example);

a mobility/portability management, for an integrated optimization and its framework for mobility and portability management and session continuity (such as video telephony, video multicast, or iptv) for one or a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example); and

a multi-user, multi-applications wireless networks, for an integrated optimization and its framework for voice-o-ip for a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example).

28. A dynamic, integrated, multi-service network cross-layer optimization for a novel integrated approach in the optimization of the ip network parameters and resources such that the result would be a fundamentally and substantially more efficient and effective network, comprising:

a 11-to-12 feedback, for provides the physical layer feedback to mac layer for link adaptation dynamically;

a 12-to-11 feedback, for provides the mac layer feedback to phy layer for link adaptation parameter settings dynamically;

a 12-to-13 feedback, for provides the mac layer feedback to ip layer for congestion or distortion based routing dynamically;

a 12-to-14 feedback, for provides the mac layer feedback to the transport layer for protocol optimization dynamically;

a 13-to-14 feedback, for provides the ip layer feedback to the transport layer for optimization such as congestion-distortion based scheduling dynamically;

a 14-to-13 feedback, for provides the transport layer feedback to the ip layer for optimization such as setting the parameters for congestion-distortion based routing dynamically;

a 17-to-12 feedback, for provides the applications layer feedback to the mac layer for application layer source encoding dynamically;

a 17-to-14 feedback, for provides the applications layer feedback to the transport layer for application layer encoding and packetization dynamically;

a 17-to-16 feedback, for provides the applications layer feedback to the presentation layer for application layer encryption &

compression requirements dynamically;

a 15-to-12 feedback, for provides the session layer feedback to the mac layer for session continuity such as in mobility and portability or multi-devices for the end-user;

a 12-to-17 feedback, for provides the (mac) link layer feedback to the applications layer for optimizing the source encoding &

packetization based on the airlink resources availability dynamically;

a 12-to-16 feedback, for provides the (mac) link layer feedback to the presentation layer for optimizing the compression based on the airlink resources availability dynamically;

a cross-layer optimization framework, for in a traditional ip network (such as a data-oriented wireline network), the 7 layers of the osi model are independent addressing the different functions performed. in a broadband wireless network however there is increasing need for coupling and feedback between the different layers of the osi model. the joint mac-phy layers optimization is now largely adopted in the broadband wireless ip networks standardization such as wimax and 3gpp.

the integrated network optimization is a comprehensive framework for a multi-variable optimization across all seven layers of the osi model, of the network resources and their allocations to optimally enable services to the end-users based on their slas.

therefore the application layer (layer 7) provides the application-specific requirements as in section 6 as constrained by the specific end-user profile and sla.

the presentation layer (layer 6), provides the compression &

sla-specific encryption as in section 6 as constrained by the specific end-user profile and sla, as well as the compression algorithm and parameters as required for the delivery of the service and network optimization within the sla range.

the session layer (layer 5), provides the session setup, initiation and continuity, &

the sla-specific mobility and portability as constrained by the specific end-user profile and sla, as well as the session continuity algorithms and parameters as required for the delivery of the service and network optimization within the sla range, and as the end-user is in the portable or mobile mode.

the transport layer (layer 4) provides the transport protocol optimization, control of the flows, and minimization of the congestions and distortions as required for the delivery of the service and network optimization within the sla range.

the network layer (layer 3) provides the qos parameters optimization, as well as ip-routing optimization for congestion and wireless channel degradation (as applicable) as required for the delivery of the service and network optimization within the sla range.

the mac layer (layer 2), provides the qos parameters optimization per the sla, in scheduling the traffic, as well as physical layer interfacing optimization for congestion and wireless channel degradation (as applicable) inclusive of partial link adaptation parameters optimization, as required for the delivery of the service and network optimization within the sla range.

the phy layer (layer 1) provides the partial link adaptation parameters optimization (such as adaptive modulation and coding, multi-antenna algorithms.), as well as mac layer interfacing optimization for and wireless channel degradation (as applicable) as required for the delivery of the service and network optimization within the sla range.

in a traditional ip network (such as a data-oriented wireline network), the 7 layers of the osi model are independent addressing the different functions performed. in a broadband wireless network however there is increasing need for coupling and feedback between the different layers of the osi model. the joint mac-phy layers optimization is now largely adopted in the broadband wireless ip networks standardization such as wimax and 3gpp.

with multiple services (multi-tier voip, video-o-ip, data,) over the broadband wireless ip networks, the need for these interactions between the various osi layers for an effective and efficient ip network with substantial multimedia traffic increases substantially.

an integrated approach to optimization involving all seven layers or a subset, for robust and resilient, high quality ip-based multimedia communication in a real-world network is the subject matter of this patent application. in a real-world network the links between the end-users and the access network node (base stations) compete for the network resources. specifically in a single base station area of coverage a multitude of end-users in the presence of varying multipath and interference compete for the network resources for that base station. in a real-world multi-base station the end-users associated with one base station also compete for network resources with the end-users of other base stations as well.

at the core of the network the sla-based delivery of the services (multiple to each end-user) requires management and optimization all the network resources. the dynamic integrated multi-service network optimization is the framework leveraging the capabilities of all seven layers of the osi model by fully exploiting the feedback and the interaction amongst these layers to achieve drastically improved levels of optimization;

an integrated optimization framework, for an integrated optimization and its framework for a multi-service network whereby the network resources, their utilization, and their allocations are optimized;

a sla-based optimization framework, for an integrated optimization and its framework for a multi-service network whereby the network resources, their utilization, and their allocations are optimized reflecting the service-level agreements (slas) as constraints for the multi-variable optimization process;

a multi-applications, for an integrated optimization and its framework for an end-user utilizing one or more applications simultaneously, in a multi-service network whereby the network resources, their utilization, and their allocations are optimized, such that the one or more applications are compliant with the service-level agreement requirements inclusive of the service delivery of voip, video-o-ip, and data as such applications;

a multi-user framework, for an integrated optimization and its framework for a multitude of users per the access node (such as a base station) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example);

a multi-tier wireless network, for an integrated optimization and its framework for a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example);

a wireless networks optimization framework, for an integrated optimization and its framework for a multi-service ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference;

a video telephony framework, for an integrated optimization and its framework for video telephony in an ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference. example include the cross-layer optimization including the source encoding, compression, congestion &

distortion based scheduling, congestion &

distortion based routing, and link layer link allocation, adaptation and optimization;

a video multicast &

broadcast, for an integrated optimization and its framework for video multicast &

broadcast in an ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference. example include the cross-layer optimization including the source encoding, compression, congestion &

distortion based scheduling, congestion &

distortion based routing, and link layer link allocation, adaptation and optimization;

a voice-over-ip over wireless, for i. an integrated optimization and its framework for voip in an ip-based wireless network whereby the wireless network resources, their utilization, and their allocations are optimized in the presence of link link-level degradations and the multiple-base stations interference. example include the cross-layer optimization including the source encoding, compression, congestion &

distortion based scheduling, congestion &

distortion based routing, and link layer link allocation, adaptation and optimization;

a video-over-ip, for an integrated optimization and its framework for video-o-ip (such as video telephony, video multicast, or iptv) for a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example);

a mobility/portability management, for an integrated optimization and its framework for mobility and portability management and session continuity (such as video telephony, video multicast, or iptv) for one or a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example); and

a multi-user, multi-applications wireless networks, for an integrated optimization and its framework for voice-o-ip for a multitude of users per the access node with one or more tiers (such as a 3g or wimax base station or a wifi access point combined in a 2-tier wireless network) in a multi-service network whereby the network resources, their utilization, and their allocations are optimized incorporating the dynamic traffic associated with one or more application for each end-user simultaneously, and the dynamic traffic associated with the aggregate of these end-users associated with one or more access modes (base stations for example).