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

Meisam Razaviyayn, Maziar Sanjabi Boroujeni, Zhi-Quan Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publication2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013
Pages325-329
Number of pages5
DOIs
StatePublished - Oct 22 2013
Event2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013 - Darmstadt, Germany
Duration: Jun 16 2013Jun 19 2013

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Other

Other2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013
CountryGermany
CityDarmstadt
Period6/16/136/19/13

Keywords

  • Beamforming
  • MIMO Interference Channel
  • Power Allocation
  • Stochastic WMMSE Algorithm

Fingerprint Dive into the research topics of 'A stochastic weighted MMSE approach to sum rate maximization for a MIMO interference channel'. Together they form a unique fingerprint.

Cite this