IP Library › Granted Patent US 10,237,781
Granted Patent B2
US 10,237,781 · App. 15/436,312 · Granted Mar 19, 2019

Channel quality estimation for link adaptation within interference limited systems

Inventors: Xing Qian (Conestogo, CA); Yu Chen (Shenzhen, CN)
Assignees: ZTE Corporation; ZTE Canada Inc.
H04W28/04H04J11/004H04L1/0038H04L1/0054H04L25/0202H04L25/0204H04L25/03993H04L27/2649H04L1/0003H04L1/0026H04L5/0062H04L27/0012
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Quick Facts
Patent No.
US 10,237,781
App. No.
15/436,312
Granted
Mar 19, 2019
Kind
B2
Abstract

To process received wireless signals received in a receiver, a noise and interference estimate is generated by subtracting the serving cell component from the received OFDM signal, a normalized noise signal is produced by whitening the noise and interference estimate, interference information is detected from the normalized noise signal associated with corresponding reliability information indicating reliability of the interference information, interference cancellation is performed based on the interference information, and a performance indicator indicative of an accuracy of the interference cancellation is adaptively adjusted using the reliability information.

Claims (64)

1. A method of wireless signal processing performed at a receiver in a wireless cellular communication network, comprising:

receiving, by a wireless receiver, an orthogonal frequency division multiplexing (OFDM) signal;

estimating, a component of the received OFDM signal corresponding to a serving cell transmission;

generating a noise and interference estimate by subtracting the component from the received OFDM signal;

producing a normalized noise signal by whitening the noise and interference estimate;

detecting interference information from the normalized noise signal and associating, with the interference information, corresponding reliability information indicating reliability of the interference information;

performing interference cancellation based on the interference information; and

adaptively adjusting a performance indicator indicative of an accuracy of the interference cancellation using the reliability information.

2. The method of claim 1 , wherein the detecting of interference information comprises using a blind detection algorithm.

3. The method of claim 2 , wherein the blind detection algorithm uses Maximum Likelihood (ML) classification.

4. The method of claim 1 , further including:

generating the reliability information based on modulation schemes and transmission modes of the receiver.

5. The method of claim 4 , further including:

generating at least three metrics as the reliability information for each of the modulation schemes and the transmission modes.

6. The method of claim 1 , wherein the performance indicator comprises an SINR gain factor.

7. The method of claim 6 , further including:

pre-calculating and pre-storing the SINR gain factor in a lookup table.

8. The method of claim 6 , wherein the SINR gain factor is used in SINR calculation for a Maximum Likelihood Detector (MLD).

9. The method of claim 8 , wherein the SINR calculation for the MLD is further decided by a lower bound and an upper bound of SINR values.

10. The method of claim 1 , further comprising:

reporting Channel Quality Information (CQI) based on the performance indicator, and

performing Link Adaptation (LA) based on the reporting of CQI.

11. A wireless receiver apparatus, comprising:

a receiver circuit that receives an orthogonal frequency division multiplexing (OFDM) signal; and

a processor that processes the received OFDM signal by:

estimating, a component of the received OFDM signal corresponding to a serving cell transmission;

generating a noise and interference estimate by subtracting the component from the received OFDM signal;

producing a normalized noise signal by whitening the noise and interference estimate;

detecting interference information from the normalized noise signal and associating, with the interference information, corresponding reliability information indicating reliability of the interference information;

performing interference cancellation based on the interference information; and

adaptively adjusting a performance indicator indicative of an accuracy of the interference cancellation using the reliability information.

12. The apparatus of claim 11 , wherein the detecting of interference information comprises using a blind detection algorithm.

13. The apparatus of claim 12 , wherein the blind detection algorithm uses Maximum Likelihood (ML) classification.

14. The apparatus of claim 11 , wherein the reliability information is generated based on modulation schemes and transmission modes of the receiver.

15. The apparatus of claim 14 , wherein at least three metrics are generated as the reliability information for each of the modulation schemes and the transmission modes.

16. The apparatus of claim 11 , wherein the performance indicator comprises a SINR gain factor.

17. The apparatus of claim 16 , wherein the SINR gain factor is pre-calculated and stored in a lookup table.

18. The apparatus of claim 16 , wherein the SINR gain factor is used in SINR calculation for Maximum Likelihood Detector (MLD).

19. The apparatus of claim 18 , wherein the SINR calculation for MLD is further decided by a lower bound and an upper bound of SINR values.

20. The apparatus of claim 19 , wherein the processor is further configured to process the received OFDM signal by:

reporting Channel Quality Information (CQI) based on the performance indicator, and

performing Link Adaptation (LA) based on the reporting of CQI.

21. A non-transitory computer-readable program medium storing computer-executable instructions, which when executed by a processor, causing the processor to implement a method comprising:

receiving, by a wireless receiver, an orthogonal frequency division multiplexing (OFDM) signal;

estimating, a component of the received OFDM signal corresponding to a serving cell transmission;

generating a noise and interference estimate by subtracting the component from the received OFDM signal;

producing a normalized noise signal by whitening the noise and interference estimate;

detecting interference information from the normalized noise signal and associating, with the interference information, corresponding reliability information indicating reliability of the interference information;

performing interference cancellation based on the interference information; and

adaptively adjusting a performance indicator indicative of an accuracy of the interference cancellation using the reliability information.

22. The non-transitory computer-readable program medium of claim 21 , wherein the detecting of interference information comprises using a blind detection algorithm.

23. The non-transitory computer-readable program medium of claim 22 , wherein the blind detection algorithm uses Maximum Likelihood (ML) classification.

24. The non-transitory computer-readable program medium of claim 21 , wherein the method further comprises:

generating the reliability information based on modulation schemes and transmission modes of the receiver.

25. The non-transitory computer-readable program medium of claim 24 , wherein the method further comprises:

generating at least three metrics as the reliability information for each of the modulation schemes and the transmission modes.

26. The non-transitory computer-readable program medium of claim 21 , wherein the performance indicator comprises an SINR gain factor.

27. The non-transitory computer-readable program medium of claim 26 , wherein the method further comprises:

pre-calculating and pre-storing the SINR gain factor in a lookup table.

28. The non-transitory computer-readable program medium of claim 26 , wherein the SINR gain factor is used in SINR calculation for a Maximum Likelihood Detector (MLD).

29. The non-transitory computer-readable program medium of claim 28 , wherein the SINR calculation for the MLD is further decided by a lower bound and an upper bound of SINR values.

30. The non-transitory computer-readable program medium of claim 21 , wherein the method further comprises:

reporting Channel Quality Information (CQI) based on the performance indicator, and

performing Link Adaptation (LA) based on the reporting of CQI.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 29, 2019
From: CHEN, YU
To: ZTE CORPORATION
Reel/Frame 048181/0328 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 29, 2019
From: QIAN, XING
To: ZTE CANADA INC.
Reel/Frame 048181/0345 →
Priority Claims (1)
WO PCT/CN2016/074110 · Feb 19, 2016 · international
Continuity (1)
Related Publication 20170245173A1 · Aug 24, 2017