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
Y1 - 2013
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 -