Distributed precoding for MISO interference channels with channel mean feedback: Algorithms and analysis

Minhua Ding, Olav Tirkkonen, Randall A Berry, Sennur Ulukus

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

Abstract

This work focuses on the design and analysis of distributed stochastic precoding algorithms for multiple-input single-output (MISO) interference channels, where each transmitter is provided with mean information of its intended channel and that of interfering channels. Unlike in cases where exact channel gains are known as in most existing works, here generalrank precoding is required for optimality instead of the rank-one beamforming. An efficient algorithm for the distributed implementation of the Nash equilibrium precoding is first proposed. A sufficient condition for this algorithm to converge to the unique equilibrium is derived for the two-user case based on stochastic ordering, and is valid for a wide range of system parameters. To improve the sum-rate performance under medium to strong interference, a pricing-based algorithm is also provided and its convergence analyzed. The two algorithms are compared in terms of sum-rate and system overhead.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Communications, ICC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5640-5645
Number of pages6
ISBN (Print)9781467331227
DOIs
StatePublished - Jan 1 2013
Event2013 IEEE International Conference on Communications, ICC 2013 - Budapest, Hungary
Duration: Jun 9 2013Jun 13 2013

Other

Other2013 IEEE International Conference on Communications, ICC 2013
CountryHungary
CityBudapest
Period6/9/136/13/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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