TY - GEN

T1 - A stochastic weighted MMSE approach to sum rate maximization for a MIMO interference channel

AU - Razaviyayn, Meisam

AU - Boroujeni, Maziar Sanjabi

AU - Luo, Zhi-Quan

PY - 2013/10/22

Y1 - 2013/10/22

N2 - Consider a multiple input-multiple output (MIMO) interference channel with partial channel state information (CSI) whereby the CSI is known only for some (or none) of the links, while the statistical knowledge is known for the remaining links. In this work, we consider the linear transceiver design problem for such an interference channel with partial CSI by maximizing the average long term sum-rate of the system. We propose an efficient stochastic sum-rate maximization algorithm based on the iterative optimization of the ensemble average of the sum rate utility function. The proposed algorithm can use the statistical knowledge of the links whenever the actual CSI is not available and is guaranteed to converge to the set of stationary points of the stochastic sum-rate maximization problem almost surely. The effectiveness and the efficiency of the proposed algorithm are validated via numerical experiments.

AB - Consider a multiple input-multiple output (MIMO) interference channel with partial channel state information (CSI) whereby the CSI is known only for some (or none) of the links, while the statistical knowledge is known for the remaining links. In this work, we consider the linear transceiver design problem for such an interference channel with partial CSI by maximizing the average long term sum-rate of the system. We propose an efficient stochastic sum-rate maximization algorithm based on the iterative optimization of the ensemble average of the sum rate utility function. The proposed algorithm can use the statistical knowledge of the links whenever the actual CSI is not available and is guaranteed to converge to the set of stationary points of the stochastic sum-rate maximization problem almost surely. The effectiveness and the efficiency of the proposed algorithm are validated via numerical experiments.

KW - Beamforming

KW - MIMO Interference Channel

KW - Power Allocation

KW - Stochastic WMMSE Algorithm

UR - http://www.scopus.com/inward/record.url?scp=84885763021&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84885763021&partnerID=8YFLogxK

U2 - 10.1109/SPAWC.2013.6612065

DO - 10.1109/SPAWC.2013.6612065

M3 - Conference contribution

AN - SCOPUS:84885763021

SN - 9781467355773

T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

SP - 325

EP - 329

BT - 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013

T2 - 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013

Y2 - 16 June 2013 through 19 June 2013

ER -