MULTIPLE CELL JOINT DETECTION AND INTERFERENCE CANCELLATION

• US 20160014619A1
• Filed: 10/24/2014
• Published: 01/14/2016
• Est. Priority Date: 07/09/2014
• Status: Abandoned Application

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: KANG, Ming, Zhao, Wanlun, Kang, Insung, Abrishamkar, Farrokh
• Application Number:
  US14/523,555
• Publication Number:
  US 20160014619A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04B 1/7105 Joint detection techniques, e.g. linear detectors
• CPC Class Codes: H04B 1/7107 Subtractive interference cancellation
• CPC Class Codes: H04B 2201/70718 Particular systems or standards
• CPC Class Codes: H04W 24/02 Arrangements for optimising operational condition

Abstract

Methods and apparatus for managing interference are described and may include updating a covariance inverse value of a linear function to remove an effect on the linear function of a first set of channels associated with a first network entity, wherein the first set of channels are cancelled in response to performing a first cancellation procedure. Methods and apparatus for managing interference may further include performing a second cancellation procedure to cancel a second set of channels associated with a second network entity based at least in part on the updated covariance inverse value of the linear function.

Claims

1. A method of managing interference, comprising:

updating a covariance inverse value of a linear function to remove an effect on the linear function of a first set of channels associated with a first network entity, wherein the first set of channels are cancelled in response to performing a first cancellation procedure; and

performing a second cancellation procedure to cancel a second set of channels associated with a second network entity based at least in part on the updated covariance inverse value of the linear function.

2. The method of claim 1, further comprising:

demodulating signals received from the first network entity using the linear function including an original covariance inverse value; and

performing the first cancellation procedure to cancel the first set of channels associated with the first network entity based at least in part on the demodulated signals.

3. The method of claim 2, wherein performing the first cancellation procedure includes:

determining a symbol modulation type and a demodulation quality value using the demodulated signals from the first network entity; and

identifying at least one channel associated with the first network entity exhibiting potential interfering characteristics.

4. The method of claim 3, further comprising:

determining that the demodulation quality associated with the at least one channel meets or exceeds a channel quality threshold value;

determining that the symbol modulation type associated with the at least one channel satisfies a modulation classification condition; and

cancelling the at least one channel based on determining that the symbol modulation type satisfies a modulation classification condition, wherein the first set of channels includes the at least one channel.

5. The method of claim 3, wherein the symbol modulation type includes one of a quadrature phase shift keying (QPSK) scheme or a quadrature amplitude modulation (QAM) scheme, and wherein the demodulation quality value is indicative of a signal-to-noise ratio value.

6. The method of claim 1, wherein the linear function includes a minimum mean square estimation function.

7. The method of claim 1, wherein the first network entity exhibits a highest output power among one or more network entities and the second network entity exhibits a subsequent highest output power among the one or more network entities.

8. The method of claim 1, further comprising ranking the first network entity and the second network entity based at least in part on a power measurement value associated with each one of the first ranked network entity and the second network entity.

9. The method of claim 8, wherein the power measurement value includes one or both of a total power value and a power concentration value.

10. A computer-readable medium storing computer executable code, comprising:

code executable to update a covariance inverse value of a linear function to remove an effect on the linear function of a first set of channels associated with a first network entity, wherein the first set of channels are cancelled in response to performing a first cancellation procedure; and

code executable to perform a second cancellation procedure to cancel a second set of channels associated with a second network entity based at least in part on the updated covariance inverse value of the linear function.

11. The computer-readable medium of claim 10, further comprising:

code executable to demodulate signals received from the first network entity using the linear function including an original covariance inverse value; and

code executable to perform the first cancellation procedure to cancel the first set of channels associated with the first network entity based at least in part on the demodulated signals.

12. The computer-readable medium of claim 11, wherein the code executable to perform the first cancellation procedure includes:

code executable to determine a symbol modulation type and a demodulation quality value using the demodulated signals from the first network entity; and

code executable to identify at least one channel associated with the first network entity exhibiting potential interfering characteristics.

13. The computer-readable medium of claim 12, further comprising:

code executable to determine that the demodulation quality associated with the at least one channel meets or exceeds a channel quality threshold value;

code executable to determine that the symbol modulation type associated with the at least one channel satisfies a modulation classification condition; and

code executable to cancel the at least one channel based on determining that the symbol modulation type satisfies a modulation classification condition, wherein the first set of channels includes the at least one channel.

14. The computer-readable medium of claim 10, wherein the linear function includes a minimum mean square estimation function.

15. The computer-readable medium of claim 10, wherein the first network entity exhibits a highest output power among one or more network entities and the second network entity exhibits a subsequent highest output power among the one or more network entities.

16. An apparatus for managing interference, comprising:

means for updating a covariance inverse value of a linear function to remove an effect on the linear function of a first set of channels associated with a first network entity, wherein the first set of channels are cancelled in response to performing a first cancellation procedure; and

means for performing a second cancellation procedure to cancel a second set of channels associated with a second network entity based at least in part on the updated covariance inverse value of the linear function.

17. The apparatus of claim 16, further comprising:

means for demodulating signals received from the first network entity using the linear function including an original covariance inverse value; and

means for performing the first cancellation procedure to cancel the first set of channels associated with the first network entity based at least in part on the demodulated signals.

18. The apparatus of claim 17, wherein the means for performing the first cancellation procedure includes:

means for determining a symbol modulation type and a demodulation quality value using the demodulated signals from the first network entity; and

means for identifying at least one channel associated with the first network entity exhibiting potential interfering characteristics.

19. The apparatus of claim 18, further comprising:

means for determining that the demodulation quality associated with the at least one channel meets or exceeds a channel quality threshold value;

means for determining that the symbol modulation type associated with the at least one channel satisfies a modulation classification condition; and

means for cancelling the at least one channel based on determining that the symbol modulation type satisfies a modulation classification condition, wherein the first set of channels includes the at least one channel.

20. The apparatus of claim 16, wherein the linear function includes a minimum mean square estimation function.

21. The apparatus of claim 16, wherein the first network entity exhibits a highest output power among one or more network entities and the second network entity exhibits a subsequent highest output power among the one or more network entities.

22. An apparatus for managing interference, comprising:

an interference management component configured to update a covariance inverse value of a linear function to remove an effect on the linear function of a first set of channels associated with a first network entity, wherein the first set of channels are cancelled in response to performing a first cancellation procedure; and

a cancellation procedure component configured to perform a second cancellation procedure to cancel a second set of channels associated with a second network entity based at least in part on the updated covariance inverse value of the linear function.

23. The apparatus of claim 22, wherein the cancellation procedure component is further configured to:

demodulate signals received from the first network entity using the linear function including an original covariance inverse value; and

perform the first cancellation procedure to cancel the first set of channels associated with the first network entity based at least in part on the demodulated signals.

24. The apparatus of claim 23, wherein to perform the first cancellation procedure, the cancellation procedure component is further configured to:

determine a symbol modulation type and a demodulation quality value using the demodulated signals from the first network entity; and

identify at least one channel associated with the first network entity exhibiting potential interfering characteristics.

25. The apparatus of claim 24, wherein the cancellation procedure component is further configured to:

determine that the demodulation quality associated with the at least one channel meets or exceeds a channel quality threshold value;

determine that the symbol modulation type associated with the at least one channel satisfies a modulation classification condition; and

cancel the at least one channel based on determining that the symbol modulation type satisfies a modulation classification condition, wherein the first set of channels includes the at least one channel.

26. The apparatus of claim 24, wherein the symbol modulation type includes one of a quadrature phase shift keying (QPSK) scheme or a quadrature amplitude modulation (QAM) scheme, and wherein the demodulation quality value is indicative of a signal-to-noise ratio value.

27. The apparatus of claim 22, wherein the linear function includes a minimum mean square estimation function.

28. The apparatus of claim 22, wherein the first network entity exhibits a highest output power among one or more network entities and the second network entity exhibits a subsequent highest output power among the one or more network entities.

29. The apparatus of claim 22, further comprising a ranking component configured to rank the first network entity and the second network entity based at least in part on a power measurement value associated with each one of the first ranked network entity and the second network entity.

30. The apparatus of claim 29, wherein the power measurement value includes one or both of a total power value and a power concentration value.