Title :
Multi-User MIMO Precoder Design via Genetic Search
Author :
Benmimoune, Mouncef ; Massicotte, Daniel
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. du Quebec a Trois-Rivieres, Trois-Rivieres, QC, Canada
Abstract :
This paper presents a new precoding approach based on a genetic algorithm to search for coded codewords applied to a multi-user MIMO system. The main idea hinges on the definition of coded codewords in which no codebook is previously stored at transmitter and receiver. In this manner, the precoder aims to maximize the sum capacity in order to solve the optimization problem by searching for the best coded codewords for all users. The performance evaluation and complexity analysis show that our approach offers outstanding performance and low complexity compared with the multi-user MIMO precoding scheme based on the Grassmannian codebook. The proposed method uses a multiplier-free precoding suitable for VLSI implementation.
Keywords :
MIMO communication; communication complexity; genetic algorithms; multiuser channels; precoding; radio receivers; radio transmitters; Grassmannian codebook; VLSI; coded codewords; complexity analysis; genetic algorithm; multiuser MIMO; optimization problem; performance evaluation; precoder; receiver; search algorithm; transmitter; Biological cells; Complexity theory; MIMO; Receivers; Signal to noise ratio; Transmitters; Vectors;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-8328-0
DOI :
10.1109/VETECF.2011.6093164