Receive antenna selection in MIMO systems using convex optimization

Author

Dua, Aditya ; Medepalli, Kamesh ; Paulraj, Arogyaswami J.

Author_Institution

Dept. of Electr. Eng., Stanford Univ., CA

Volume

5

Issue

9

fYear

2006

fDate

9/1/2006 12:00:00 AM

Firstpage

2353

Lastpage

2357

Abstract

A critical factor in the deployment of multiple-input multiple-output (MIMO) systems is the cost of multiple analog transmit/receive chains. This problem can be mitigated by antenna subset selection at the transmitter/receiver. With antenna selection, a small number of analog chains are multiplexed between a much larger number of transmit/receive antenna elements. In this paper, we present a low complexity approach to receive antenna selection for capacity maximization, based on the theory of convex optimization. We show via extensive Monte-Carlo simulations that the proposed algorithm provides performance very close to that of optimal selection based on exhaustive search. We also, extend this approach to receive antenna selection for the JMMSE and OSIC V-BLAST architectures

Keywords

MIMO systems; Monte Carlo methods; antenna arrays; multiplexing; optimisation; receiving antennas; JMMSE; MIMO systems; Monte-Carlo simulations; OSIC V-BLAST architectures; antenna subset selection; capacity maximization; convex optimization; exhaustive search; multiple analog transmit-receive chains; multiple-input multiple-output systems; receive antenna selection; AWGN; Analog-digital conversion; Channel capacity; Costs; Diversity methods; Low-noise amplifiers; MIMO; Receiving antennas; Transmitters; Transmitting antennas;

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/TWC.2006.1687757

Filename

1687757