Joint linear precoder optimization and base station selection for an uplink MIMO network: A game theoretic approach

We consider the problem of weighted sum rate optimization in a MIMO interfering multiple access channel (IMAC). We propose to jointly optimize the users' linear procoders as well as their base station (BS) associations. This approach enables the users to avoid congested BSs and can improve syst...

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Bibliographic Details
Published in:2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 2941 - 2944
Main Authors: Mingyi Hong, Zhi-Quan Luo
Format: Conference Proceeding
Language:English
Published: IEEE 01.03.2012
Subjects:
Base Station Assignment
Covariance matrix
Game Theory
Games
Interference
Joints
Linear Precoder Design
MIMO
Optimization
Tin
Transmitters
ISBN:1467300454, 9781467300452
ISSN:1520-6149
Online Access:Get full text
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Summary:We consider the problem of weighted sum rate optimization in a MIMO interfering multiple access channel (IMAC). We propose to jointly optimize the users' linear procoders as well as their base station (BS) associations. This approach enables the users to avoid congested BSs and can improve system performance as well as user fairness. We formulate the problem into a noncooperative game, and develop an algorithm that allows the players to distributedly reach the Nash Equilibrium (NE) of the game. We show that every NE of the game is a stationary solution of the weighted sum rate optimization problem, and propose an algorithm to compute the NE of the game. Simulation results show that the proposed algorithm performs well in the presence of BS congestion.
ISBN:1467300454
9781467300452
ISSN:1520-6149
DOI:10.1109/ICASSP.2012.6288532