Systems and methods to enhance spatial diversity in distributed-input distributed-output wireless systems

• US 10,243,623 B2
• Filed: 06/07/2017
• Issued: 03/26/2019
• Est. Priority Date: 07/30/2004
• Status: Active Grant

• Current Assignee: Rearden, LLC
• Original Assignee: Rearden, LLC
• Inventors: Forenza, Antonio, Pitman, Timothy Anders, Jirasutavasuntorn, Benyavut, Andrzejewski, Robert J., Perlman, Stephen G.
• Primary Examiner(s): Cattungal, Ajay
• Application Number:
  US15/616,817
• Publication Number:
  US 20170373729A1
• Time in Patent Office: 657 Days
• CPC Class Codes: H04B 7/024 Co-operative use of antennas of several sites, e.g. in co-ordinated multipoint or co-operative multiple-input multiple-output [MIMO] systems
• CPC Class Codes: H04B 7/0465 taking power constraints at power amplifier or emission constraints, e.g. constant modulus, into account
• CPC Class Codes: H04B 7/0626 Channel coefficients, e.g. channel state information [CSI]
• CPC Class Codes: H04B 7/0691 using subgroups of transmit antennas

Abstract

Systems and methods are described for enhancing the channel spatial diversity in a multiple antenna system (MAS) with multi-user (MU) transmissions (“MU-MAS”), by exploiting channel selectivity indicators. The proposed methods are: i) antenna selection; ii) user selection; iii) transmit power balancing. All three methods, or any combination of those, are shown to provide significant performance gains in DIDO systems in practical propagation scenarios.

Claims

1. A method implemented within a multiuser (MU) multiple antenna system (MAS) comprising:

communicatively coupling one or more centralized units to multiple distributed transceiver stations or antennas via a network, the network comprising wireline or wireless links or a combination of both;

employing the network as a backhaul communication channel; and

employing transmit antenna selection, user selection, or transmit power balancing to enhance channel space diversity within the MU-MAS;

receiving wireless power concurrently by a plurality of user devices from the multiple antennas.

2. The method as in claim 1 wherein a space selectivity indicator (SSI), time selectivity indicator (TSI), and/or frequency selectivity indicator (FSI) are used as measures of the channel diversity.

3. The method as in claim 2 further comprising defining different subsets of transmit antennas and selects the subset that optimizes the SSI for transmission over the wireless links.

4. The method as in claim 3 wherein searching for the optimal antenna subset is suspended as soon as the first subset that satisfies the SSI threshold is found, thereby reducing computational complexity.

5. The method as in claim 3 wherein only a limited number of antenna subsets are selected based on certain performance criterion as a means to reduce the computational complexity of the method.

6. The method as in claim 2 wherein a selection criterion is based on SSI, TSI and/or FSI thresholds derived from measurements.

7. The method as in claim 2 wherein a minimum singular value of an effective channel matrix of every client device is used as SSI.

8. The method as in claim 2 wherein a minimum singular value or the condition number of a composite channel matrix from all client devices is used as SSI.

9. The method as in claim 2 wherein an absolute value of the sum of the complex channel gain from some or all transceiver stations is used as TSI.

10. The method as in claim 2 wherein the SSI is used to measure and predict a shape in space around each of the plurality of user devices, each shape carrying independent and simultaneous non-interfering wireless power for the user device.

11. The method as in claim 2 wherein an average SSI is used to select adaptively between fixed transmit antenna configuration and transmit antenna selection methods based on changing channel conditions.

12. The method as in claim 2 wherein temporal correlation of the SSI is exploited to select an optimal antenna subset while reducing the computational complexity of the method.

13. The method as in claim 1 wherein a base transceiver station (BTS) that overpowers the other BTSs reduces its transmit power to balance the power from all BTSs to the clients.

14. The method as in claim 1 wherein a base transceiver station (BTS) that overpowers the other BTSs keeps its power level unaltered, the other BTSs increase their transmit power to balance the power from all BTSs to the client devices.

15. The method as in claim 1 wherein a maximum auto-correlation coefficient of the covariance matrix is used as an indication of transmit power imbalance.

16. The method as in claim 15 wherein thresholds of auto-correlation are defined to select between power balanced and imbalanced methods and those thresholds are obtained based on certain performance criterion.

17. The method as in claim 16 wherein the selection is based on hysteresis loop and multiple thresholds of auto-correlation are defined for that hysteresis.

18. The method as in claim 15 wherein the auto-correlation is mapped into a transmit gain value and that value is used to adjust the power of the BTSs.

19. A multiuser (MU) multiple antenna system (MAS) comprising:

one or more centralized units communicatively coupled to multiple distributed transceiver stations or antennas via a network;

the network comprising wireline or wireless links or a combination of both, employed as a backhaul communication channel; and

the MU-MAS employing transmit antenna selection, user selection and/or transmit power balancing are employed to enhance channel spatial diversity;

receiving wireless power concurrently by a plurality of user devices from the multiple antennas.

20. The system as in claim 19 wherein a space selectivity indicator (SSI), time selectivity indicator (TSI), and/or frequency selectivity indicator (FSI) are used as measures of the channel diversity.

21. The system as in claim 20 further comprising defining different subsets of transmit antennas and selects the subset that optimizes the SSI for transmission over the wireless links.

22. The system as in claim 21 wherein searching for the optimal antenna subset is suspended as soon as the first subset that satisfies the SSI threshold is found, thereby reducing computational complexity.

23. The system as in claim 21 wherein only a limited number of antenna subsets are selected based on certain performance criterion as a means to reduce the computational complexity of the system.

24. The system as in claim 20 wherein a selection criterion is based on SSI, TSI and/or FSI thresholds derived from measurements.

25. The system as in claim 20 wherein a minimum singular value of an effective channel matrix of every client device is used as SSI.

26. The system as in claim 20 wherein a minimum singular value or the condition number of a composite channel matrix from all client devices is used as SSI.

27. The system as in claim 20 wherein an absolute value of the sum of the complex channel gain from some or all transceiver stations is used as TSI.

28. The system as in claim 20 wherein the SSI is used to measure and predict a shape in space around each of the plurality of user devices, each shape carrying independent and simultaneous non-interfering wireless power for the user device.

29. The system as in claim 20 wherein an average SSI is used to select adaptively between fixed transmit antenna configuration and transmit antenna selection systems based on changing channel conditions.

30. The system as in claim 20 wherein temporal correlation of the SSI is exploited to select an optimal antenna subset while reducing the computational complexity of the system.

31. The system as in claim 19 wherein a base transceiver station (BTS) that overpowers the other BTSs reduces its transmit power to balance the power from all BTSs to the client devices.

32. The system as in claim 19 wherein a base transceiver station (BTS) that overpowers the other BTSs keeps its power level unaltered, the other BTSs increase their transmit power to balance the power from all BTSs to the clients.

33. The system as in claim 19 wherein a maximum auto-correlation coefficient of the covariance matrix is used as an indication of transmit power imbalance.

34. The system as in claim 33 wherein thresholds of auto-correlation are defined to select between power balanced and imbalanced systems and those thresholds are obtained based on certain performance criterion.

35. The system as in claim 34 wherein the selection is based on hysteresis loop and multiple thresholds of auto-correlation are defined for that hysteresis.

36. The system as in claim 35 wherein the auto-correlation is mapped into a transmit gain value and that value is used to adjust the power of the BTSs.