Graph-based determination of initial-synchronization beam scanning

• US 10,135,500 B2
• Filed: 02/26/2016
• Issued: 11/20/2018
• Est. Priority Date: 02/26/2016
• Status: Active Grant

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: Guerreiro, Igor Moaco, Axnas, Johan, Baldemair, Robert, Hui, Dennis, Karipidis, Eleftherios
• Primary Examiner(s): Taha, Shukri
• Application Number:
  US15/054,675
• Publication Number:
  US 20170250739A1
• Time in Patent Office: 998 Days
• CPC Class Codes: H04B 17/391 Modelling the propagation channel
• CPC Class Codes: H04B 7/0408 using two or more beams, i.e. beam diversity
• CPC Class Codes: H04B 7/0426 Power distribution
• CPC Class Codes: H04W 52/0206 in access points, e.g. base stations access point devices per se H04W88/08
• CPC Class Codes: H04W 52/143 Downlink power control
• CPC Class Codes: H04W 52/228 using past power values or information
• CPC Class Codes: H04W 52/241 taking into account channel quality metrics, e.g. SIR, SNR, CIR, Eb/lo
• CPC Class Codes: H04W 52/245 taking into account received signal strength
• CPC Class Codes: H04W 52/247 where the output power of a terminal is based on a path parameter sent by another terminal
• CPC Class Codes: H04W 52/32 TPC of broadcast or control channels
• CPC Class Codes: H04W 52/325 Power control of control or pilot channels
• CPC Class Codes: H04W 52/346 distributing total power among users or channels
• CPC Class Codes: H04W 56/002 Mutual synchronization
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

Techniques for determining beam-sweeping patterns for synchronization signals transmitted in a region by several access nodes in a network, where each access node is connected to a corresponding array of antenna elements. An example method includes modeling a total power function for the power transmitted in the synchronization signals, as a factor graph having a plurality of check nodes and variable nodes, each check node corresponding to a virtual wireless device in the region and each variable node corresponding to an available beam for an access node. The virtual wireless devices are emulated so as to implement quality-of-service constraints on synchronization signals received by the virtual wireless devices. An iterative message-passing algorithm, such as a min-sum algorithm, is applied to the modeled total power function, to determine a sequence of power levels, for each access node, for sweeping synchronization signal beams, so as to minimize the total power function.

Claims

1. A method, in one or more nodes of a wireless communications system, of jointly determining beam-sweeping patterns for synchronization signals transmitted in a region by each of a plurality of access nodes in a wireless network, wherein each access node is connected to a corresponding array of horizontally and/or vertically spaced antenna elements and is configured to sweep a synchronization signal in a node-specific beam sequence, using the corresponding array, where, for each access node, the node-specific beam sequence is defined by a sequence of power levels corresponding to distinct beam angles available to the access node, the method comprising:

modeling a total power function corresponding to a total power transmitted in the synchronization signals by the plurality of access nodes, for a given period, wherein said modeling of the total power function comprises modeling the total power function as a factor graph having a plurality of check nodes and variable nodes, each of the check nodes corresponding to one of a plurality of emulated virtual wireless devices in the region and each of the variable nodes corresponding to one of the access nodes and to one of the beam angles available to the one of the access nodes;

emulating the plurality of virtual wireless devices so as to implement quality-of-service constraints on synchronization signals received by the virtual wireless devices;

applying an iterative message-passing algorithm to the modeled total power function, to determine the sequence of power levels for each of the plurality of access nodes, so as to minimize the total power function, subject to one or more iteration-stopping criteria.

2. The method of claim 1, wherein the iterative message-passing algorithm is one of a min-sum algorithm, a max-sum algorithm, and a min-product algorithm.

3. The method of claim 1, further comprising transmitting the synchronization signal from one of the access nodes, applying the determined sequences of non-zero power levels for the access node.

4. The method of claim 1, wherein the emulating of the plurality of virtual wireless devices is based on historical signal measurement data from wireless devices in the region, the historical signal measurement data comprising received signal strength data for synchronization signals transmitted by the plurality of access nodes.

5. The method of claim 4, wherein at least a portion of the historical signal measurement data corresponds to measurements made from full power sweeps of the synchronization by one or more of the access nodes.

6. The method of claim 4, wherein the method further comprises, subsequent to said modeling, emulating, and applying:

updating the historical signal measurement data, using signal strength data from wireless devices for synchronization signals transmitted by the plurality of access nodes using the determined sequences of non-zero power levels; and

repeating said modeling, emulating, and applying to obtain updated sequences of non-zero power levels for one or more of the access nodes.

7. The method of claim 1, wherein said applying the iterative message-passing algorithm to the modeled total power function comprises:

generating, for each variable node, an initial aggregate message targeted to each check node that corresponds to a virtual wireless device that, based on historical signal quality data, is deemed able to receive a synchronization signal transmitted by the access node corresponding to the variable node at the combination of azimuth and elevation beam angles corresponding to the variable node, each of the initial aggregate messages consisting of a variable node power function that is a function of transmit power levels for the variable node;

passing the initial aggregate messages to the respective check nodes;

computing, for each check node, a summary message targeted to each of a set of variable nodes that, based on historical signal quality data, correspond to beams that can be received by the check node, each summary message being a function of transmit power levels for the targeted variable node and having a value, for each transmit power of the targeted variable node, computed as the minimum, over all transmit power levels for all neighboring variable nodes except the targeted variable node, of the sum of (i) an indicator function for the check node and (ii) the aggregate messages most recently received by the check node from all the variable nodes in the set other than the targeted variable node, wherein the indicator function for the check node is a function of the transmit power level for the targeted variable node and provides a zero for a given transmit power level for the targeted variable node if the signal quality for any of the beams that can be received by the check node, as hypothesized based on the transmit power level for the targeted variable node and transmit power levels for the neighboring variable nodes other than the target variable nodes, exceeds a predetermined threshold, and provides a predetermined penalty value otherwise;

passing the summary messages to the respective variable nodes;

determining, for each variable node, a transmit power level that minimizes the sum of the summary messages most recently passed to the variable node;

computing, for each variable node, an updated aggregate message targeted to each of the check nodes that corresponds to a virtual wireless device that, based on historical signal quality data, is deemed able to receive a synchronization signal transmitted by the access node corresponding to the variable node at the combination of azimuth and elevation beam angles corresponding to the variable node, each of the updated aggregate messages being computed as a sum of (iii) a power term that is a function of transmit power levels for the variable node and (iv) a sum of the summary messages most recently passed to the variable node from check nodes other than the targeted check node, less (v) the minimum of all the summary messages most recently passed to the variable node from check nodes other than the targeted check node;

passing the updated aggregated messages to the respective check nodes;

repeating the computing of the summary messages, the passing of the summary messages, the computing of the updated aggregated messages, and the passing of the updated messages, until an iteration-stopping criterion is reached; and

wherein the transmit power levels for the variable nodes determined just prior to the iteration-stopping criterion represent the determined non-zero power levels for the beam sequences for the plurality of access nodes.

8. The method of claim 1, wherein emulating the plurality of virtual wireless devices so as to implement quality-of-service constraints on synchronization signals received by the virtual wireless devices is carried out so as to ignore interference.

9. The method of claim 8, wherein said applying the iterative message-passing algorithm to the modeled total power function comprises:

generating, for each variable node, an initial aggregate message targeted to each check node that corresponds to a virtual wireless device that, based on historical signal quality data, is deemed able to receive a synchronization signal transmitted by the access node corresponding to the variable node at the combination of azimuth and elevation beam angles corresponding to the variable node, each of the initial aggregate messages consisting of a variable node power function that is a function of transmit power levels for the variable node;

passing the initial aggregate messages to the respective check nodes;

computing, for each check node, a summary message targeted to each of a set of variable nodes that, based on historical signal quality data, correspond to beams that can be received by the check node, each summary message being computed as (i) a zero if the beam power for the variable node exceeds a minimum power level needed for the corresponding beam to serve the virtual node corresponding to the check node and, otherwise, (b) as the minimum, over all the aggregate messages most recently received by the check node from all the variable nodes in the set other than the targeted variable node, of the values of the aggregate messages in ranges of the aggregate messages in which the transmit power of the corresponding variable node exceeds a minimum power level needed for the corresponding variable node to serve the virtual node corresponding to the check node;

passing the summary messages to the respective variable nodes;

determining, for each variable node, a transmit power level that minimizes the sum of the summary messages most recently passed to the variable node;

computing, for each variable node, an updated aggregate message targeted to each of the check nodes that corresponds to a virtual wireless device that, based on historical signal quality data, is deemed able to receive a synchronization signal transmitted by the access node corresponding to the variable node at the combination of azimuth and elevation beam angles corresponding to the variable node, each of the updated aggregate messages being computed as a sum of (iii) a power term that is a function of transmit power levels for the variable node and (iv) a sum of the summary messages most recently passed to the variable node from check nodes other than the targeted check node, less (v) the minimum of all the summary messages most recently passed to the variable node from check nodes other than the targeted check node;

passing the updated aggregated messages to the respective check nodes;

repeating the computing of the summary messages, the passing of the summary messages, the computing of the updated aggregated messages, and the passing of the updated messages, until an iteration-stopping criterion is reached; and

wherein the transmitted power levels for the variable nodes determined just prior to the iteration-stopping criterion represent the determined non-zero power levels for the beam sequences for the plurality of access nodes.

10. The method of claim 1, wherein the method is implemented in a distributed manner, in the plurality of access nodes, each access node computing messages for the variable nodes corresponding to the respective node.

11. The method of claim 10, wherein each of one or more of the access nodes performs the emulation of a corresponding subset of the plurality of wireless devices.

12. A system for jointly determining beam-sweeping patterns for synchronization signals transmitted in a region by each of a plurality of access nodes in a wireless network, wherein each access node is connected to a corresponding array of horizontally and/or vertically spaced antenna elements and is configured to sweep a synchronization signal in a node-specific beam sequence, using the corresponding array, where, for each access node, the node-specific beam sequence is defined by a sequence of power levels corresponding to distinct beam angles available to the access node, the system comprising one or more nodes adapted to:

model a total power function corresponding to a total power transmitted in the synchronization signals by the plurality of access nodes, for a given period, wherein said modeling of the total power function comprises modeling the total power function as a factor graph having a plurality of check nodes and variable nodes, each of the check nodes corresponding to one of a plurality of emulated virtual wireless devices in the region and each of the variable nodes corresponding to one of the access nodes and to one of the beam angles available to the one of the access nodes;

emulate the plurality of virtual wireless devices so as to implement quality-of-service constraints on synchronization signals received by the virtual wireless devices;

apply an iterative message-passing algorithm to the modeled total power function, to determine the sequence of power levels for each of the plurality of access nodes, so as to minimize the total power function, subject to one or more iteration-stopping criteria.

13. The system of claim 12, wherein the iterative message-passing algorithm is one of a min-sum algorithm, a max-sum algorithm, and a min-product algorithm.

14. The system of claim 12, wherein at least a first one of the nodes is an access node and is further adapted to transmit the synchronization signal, applying the determined sequences of non-zero power levels for that access node.

15. The system of claim 12, wherein the nodes are adapted to emulate the plurality of virtual wireless devices based on historical signal measurement data from wireless devices in the region, the historical signal measurement data comprising received signal strength data for synchronization signals transmitted by the plurality of access nodes.

16. The system of claim 15, wherein at least a portion of the historical signal measurement data corresponds to measurements made from full power sweeps of the synchronization by one or more of the access nodes.

17. The system of claim 15, wherein the nodes are further adapted to, subsequent to said modeling, emulating, and applying:

update the historical signal measurement data, using signal strength data from wireless devices for synchronization signals transmitted by the plurality of access nodes using the determined sequences of non-zero power levels; and

repeat said modeling, emulating, and applying to obtain updated sequences of non-zero power levels for one or more of the access nodes.

18. The system of claim 12, wherein the nodes are adapted to apply the iterative message-passing algorithm to the modeled total power function by:

generating, for each variable node, an initial aggregate message targeted to each check node that corresponds to a virtual wireless device that, based on historical signal quality data, is deemed able to receive a synchronization signal transmitted by the access node corresponding to the variable node at the combination of azimuth and elevation beam angles corresponding to the variable node, each of the initial aggregate messages consisting of a variable node power function that is a function of transmit power levels for the variable node;

passing the initial aggregate messages to the respective check nodes;

computing, for each check node, a summary message targeted to each of a set of variable nodes that, based on historical signal quality data, correspond to beams that can be received by the check node, each summary message being a function of transmit power levels for the targeted variable node and having a value, for each transmit power of the targeted variable node, computed as the minimum, over all transmit power levels for all neighboring variable nodes except the targeted variable node, of the sum of (i) an indicator function for the check node and (ii) the aggregate messages most recently received by the check node from all the variable nodes in the set other than the targeted variable node, wherein the indicator function for the check node is a function of the transmit power level for the targeted variable node and provides a zero for a given transmit power level for the targeted variable node if the signal quality for any of the beams that can be received by the check node, as hypothesized based on the transmit power level for the targeted variable node and transmit power levels for the neighboring variable nodes other than the target variable nodes, exceeds a predetermined threshold, and provides a predetermined penalty value otherwise;

passing the summary messages to the respective variable nodes;

determining, for each variable node, a transmit power level that minimizes the sum of the summary messages most recently passed to the variable node;

computing, for each variable node, an updated aggregate message targeted to each of the check nodes that corresponds to a virtual wireless device that, based on historical signal quality data, is deemed able to receive a synchronization signal transmitted by the access node corresponding to the variable node at the combination of azimuth and elevation beam angles corresponding to the variable node, each of the updated aggregate messages being computed as a sum of (iii) a power term that is a function of transmit power levels for the variable node and (iv) a sum of the summary messages most recently passed to the variable node from check nodes other than the targeted check node, less (v) the minimum of all the summary messages most recently passed to the variable node from check nodes other than the targeted check node;

passing the updated aggregated messages to the respective check nodes;

repeating the computing of the summary messages, the passing of the summary messages, the computing of the updated aggregated messages, and the passing of the updated messages, until an iteration-stopping criterion is reached; and

wherein the transmit power levels for the variable nodes determined just prior to the iteration-stopping criterion represent the determined non-zero power levels for the beam sequences for the plurality of access nodes.

19. The system of claim 12, wherein the nodes are adapted to emulate the plurality of virtual wireless devices such that the emulating ignores interference.

20. The system of claim 19, wherein the nodes are adapted to apply the iterative message-passing algorithm to the modeled total power function by:

generating, for each variable node, an initial aggregate message targeted to each check node that corresponds to a virtual wireless device that, based on historical signal quality data, is deemed able to receive a synchronization signal transmitted by the access node corresponding to the variable node at the combination of azimuth and elevation beam angles corresponding to the variable node, each of the initial aggregate messages consisting of a variable node power function that is a function of transmitted power levels for the variable node;

passing the initial aggregate messages to the respective check nodes;

computing, for each check node, a summary message targeted to each of a set of variable nodes that, based on historical signal quality data, correspond to beams that can be received by the check node, each summary message being computed as (i) a zero if the beam power for the variable node exceeds a minimum power level needed for the corresponding beam to serve the virtual node corresponding to the check node and, otherwise, (b) as the minimum, over all the aggregate messages most recently received by the check node from all the variable nodes in the set other than the targeted variable node, of the values of the aggregate messages in ranges of the aggregate messages in which the transmit power of the corresponding variable node exceeds a minimum power level needed for the corresponding variable node to serve the virtual node corresponding to the check node;

passing the summary messages to the respective variable nodes;

determining, for each variable node, a transmitted power level that minimizes the sum of the summary messages most recently passed to the variable node;

computing, for each variable node, an updated aggregate message targeted to each of the check nodes that corresponds to a virtual wireless device that, based on historical signal quality data, is deemed able to receive a synchronization signal transmitted by the access node corresponding to the variable node at the combination of azimuth and elevation beam angles corresponding to the variable node, each of the updated aggregate messages being computed as a sum of (iii) a power term that is a function of transmitted power levels for the variable node and (iv) a sum of the summary messages most recently passed to the variable node from check nodes other than the targeted check node, less (v) the minimum of all the summary messages most recently passed to the variable node from check nodes other than the targeted check node;

passing the updated aggregated messages to the respective check nodes;

repeating the computing of the summary messages, the passing of the summary messages, the computing of the updated aggregated messages, and the passing of the updated messages, until an iteration-stopping criterion is reached; and

wherein the transmitted power levels for the variable nodes determined just prior to the iteration-stopping criterion represent the determined non-zero power levels for the beam sequences for the plurality of access nodes.

21. The system of claim 12, wherein each of one or more of the nodes corresponds to a respective one of the access nodes, and wherein each of the one or more of the nodes performs the emulation of a corresponding subset of the plurality of wireless devices.

22. A computer program product, stored on a non-transitory computer readable storage medium, for jointly determining beam-sweeping patterns for synchronization signals transmitted in a region by each of a plurality of access nodes in a wireless network, wherein each access node is connected to a corresponding array of horizontally and/or vertically spaced antenna elements and is configured to sweep a synchronization signal in a node-specific beam sequence, using the corresponding array, where, for each access node, the node-specific beam sequence is defined by a sequence of power levels corresponding to distinct beam angles available to the access node, the computer program product comprising instructions for execution by one or more nodes, the instructions comprising instructions for:

modeling a total power function corresponding to a total power transmitted in the synchronization signals by the plurality of access nodes, for a given period, wherein said modeling of the total power function comprises modeling the total power function as a factor graph having a plurality of check nodes and variable nodes, each of the check nodes corresponding to one of a plurality of emulated virtual wireless devices in the region and each of the variable nodes corresponding to one of the access nodes and to one of the beam angles available to the one of the access nodes;

emulating the plurality of virtual wireless devices so as to implement quality-of-service constraints on synchronization signals received by the virtual wireless devices;

applying an iterative message-passing algorithm to the modeled total power function, to determine the sequence of power levels for each of the plurality of access nodes, so as to minimize the total power function, subject to one or more iteration-stopping criteria.