Patent ID: 9438320
Filing Date: 2016-09-06
CPC Classification: H04B,H04L

Claim Text:
1. A method for implementing iterative nonlinear precoding (NLP) and feedback in a Multi-User Multiple-Input Multiple-Output (MU-MIMO) system, the method comprising: estimating an effective precoded channel; quantizing the effective precoded channel; suppressing quantization errors associated with the quantized effective precoded channel to obtain quantized estimates for the effective precoded channel by scaling up elements at a right interference part or triangular of an effective precoded channel matrix associated with the effected precoded channel to a power level of elements or at a left interference part or triangular of the effective precoded channel matrix before quantization using at least one of the following: a scalar, booster, or a fixed value or number and scaling back the power level of the elements at the right interference part of the effective precoded channel matrix after quantization; and feeding back at least one of the following: the quantized estimates of the effective precoded channel; the quantization errors; a square amplitude of the quantization errors; and a Channel Quality Indicator (CQI) generated based on the quantization error to implement an NLP scheme in the MU-MIMO system to improve spectrum usage efficiencies.