CHANNEL QUANTIZATION FOR MULTIUSER DIVERSITY

Patent №

US 8,300,723

Granted

2012-10-30

Filed 2011

Owner

BROADCOM CORPORATION

Lab

AI components

2

ml · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13099721

A method and system for channel quantization for multiuser diversity are provided. A quantizer may utilize quantization levels determined based on an objective function J that corresponds to a performance metric for a finite-rate feedback multiuser downlink communication system. The quantization levels may be obtained based on the results of maximizing the objective function J by means of an optimization algorithm. The optimization algorithm may be a multivariate optimization algorithm that may be implemented utilizing an iterative approach. The quantizer may utilize the quantization levels to quantize channel state information (CSI) to achieve multiuser diversity in the finite-rate feedback multiuser system. The performance metric may be based on signal-to-noise ratio (SNR), bit error rate (BER), and/or system capacity. The quantization levels may be utilized in a multiuser system where distributed quantization is needed for optimal selection.

Machine learningEvolutionary computationH04B 7/0452H04B 7/0417H04B 7/06H04B 7/0626H04B 7/0658

AI classification

Evolutionary computation0.93
Machine learning0.57
Vision0.50
Planning0.27
AI hardware0.00
Natural language0.00
Knowledge representation0.00
Speech0.00

Ownership

BROADCOM CORPORATION

assignment · 290180425

Assignors

ZHENG, JUN, ZHANG, CHENGJIN, ROOYEN, PIETER VAN

On an employer assignment, the assignors are typically the inventors.

From the same owner

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