Smooth transition between predictive and mobile-assisted spectral allocation

• US 9,554,293 B2
• Filed: 07/31/2013
• Issued: 01/24/2017
• Est. Priority Date: 06/11/2013
• Status: Expired due to Fees

• Current Assignee: Empire Technology Development LLC (Allied Inventors Management, LLC)
• Original Assignee: Empire Technology Development LLC (Allied Inventors Management, LLC)
• Inventors: Keerthi, Arvind Vijay
• Primary Examiner(s): MILLS, DONALD L
• Application Number:
  US14/354,116
• Publication Number:
  US 20140376357A1
• Time in Patent Office: 1,273 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: H04L 5/0046 Determination of how many bits are transmitted on different sub-channels
• CPC Class Codes: H04L 5/0057 Physical resource allocation for CQI
• CPC Class Codes: H04L 5/006 Quality of the received signal, e.g. BER, SNR, water filling
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic

Abstract

Technologies are generally described for providing a transition between predictive and mobile-assisted spectral allocation. In some examples, wireless devices may be enabled to determine adequacy of theft allocated spectral path to meet their communication needs by analyzing signal-to-noise ratios (SNRs) of their assigned sub-carriers. If a wireless device determines a current sub-carrier to be inadequate based on the analysis, it may send information associated with preferred sub-carriers to a base station. The base station may determine one or more nearby good clusters based on a comparison of a sequence of received preferred sub-carriers and the spectral paths represented by the nearby cluster centers, and select a re-allocated spectral path with shortest information distance to the sequence of preferred sub-carriers.

Claims

1. A method for spectral allocation in wireless networks, the method comprising:

receiving information pertaining to a preferred spectral path from a mobile device, the preferred spectral path comprising a subset of time-frequency vectors allocated to the mobile device with signal-to-noise ratios (SNRs) higher than a predefined threshold;

selecting a particular nearby cluster for the preferred spectral path, wherein the particular nearby cluster corresponds to spatial and temporal grid points near present space-time coordinates of the mobile device;

comparing the preferred spectral path to the particular nearby cluster to determine whether the particular nearby cluster has a time-frequency vector distance that is less than a particular threshold; and

in response to a determination that the particular nearby cluster has a time-frequency vector distance that is less than the particular threshold, forming a new spectral path by scheduling a next transmission for the mobile device at one or more time-frequency vectors in the particular nearby cluster and adding the new spectral path to a set of spectral paths associated with acceptable performance;

else

scheduling the next transmission for the mobile device at the preferred spectral path received from the mobile device until another particular nearby cluster is determined to have a time-frequency vector distance that is less than the particular threshold when compared to the preferred spectral path.

2. The method according to claim 1, wherein selecting the particular nearby cluster comprises:

computing, a respective information distance between the preferred spectral path and one or more nearby clusters; and

based on the respective information distance, identifying the particular nearby cluster.

3. The method according to claim 2, wherein the particular nearby cluster is a good cluster that has a minimum vector distance from the preferred spectral path.

4. The method according to claim 1, wherein the time-frequency vector distance is one of a Hamming distance and a Levenshtein distance.

5. The method according to claim 1, wherein selecting, the particular nearby cluster comprises selecting the particular nearby duster among one or more nearby clusters with the time-frequency vector distance between a center of the nearby cluster and the preferred spectral path less than the particular threshold.

6. The method according to claim 5, wherein the particular threshold is about 10%.

7. The method according to claim 5, further comprising determining the particular threshold based on a coherence bandwidth of the mobile device.

8. A controller for a wireless network configured to transition between predictive allocation and mobile-assisted spectral allocation, the controller comprising:

a communication module configured to communicate with a plurality of mobile devices over a wireless network, wherein a mobile device from the plurality of mobile devices is configured to monitor an actual number of bits received as a transmission moves along a present spectral path, and compare the actual number of bits received to a scheduled number of bits;

a processor coupled to the communication module, the processor configured to;

receive information pertaining to a preferred spectral path from the mobile device in response to a determination by the mobile device that the actual number of bits received is less than the scheduled number of bits by a threshold, wherein the preferred spectral path for the mobile device comprises a subset of time-frequency vectors allocated to the mobile device with signal-to-noise ratios (SNRs) higher than a predefined threshold;

select a particular nearby cluster for the preferred spectral path, wherein the particular nearby cluster corresponds to spatial and temporal grid points near present space-time coordinates of the mobile device; and

in response to a determination that the particular nearby cluster has a time-frequency vector distance that is less than a particular threshold when compared to the preferred spectral path schedule a next transmission for the mobile device at one or more time-frequency vectors in the particular nearby cluster.

9. The controller according to claim 8, wherein the processor is configured to receive the information pertaining, to the preferred spectral path by receiving sub-carrier specification information for one or more preferred sub-carriers from the mobile device.

10. The controller according to claim 8, wherein the processor is further configured to use a string matching technique to determine if the preferred spectral path and the particular nearby cluster match the predefined criterion.

11. The controller according to claim 8, wherein the processor is further configured to receive the preferred spectral path information from the mobile device in form of channel state information (CSI).

12. The controller according to claim 8, wherein the processor is further configured to schedule the next transmission at the preferred spectral path if the predefined criterion is not matched.

13. The controller according to claim 8, wherein the particular nearby duster is a duster that corresponds to spatial and/or temporal arid points surrounding present space and/or time coordinates of the mobile device.

14. The controller according to claim 8, wherein the controller is part of a base station.

15. The controller according to claim 8, wherein the wireless network is one of an Evolved Universal Mobile Telecommunications System Terrestrial Radio Access Network (eUTRAN), a long term evolution (LTE) network, an LTE-Advanced network, a high speed packet access (HSPA) network, or an advanced HSPA network.