Achieving max-min fairness for MU-MISO with partial CSIT: A multicast assisted transmission

Hamdi Joudeh, Bruno Clerckx

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)

Abstract

We address the max-min fairness design problem for a MU-MISO system with partial Channel State Information (CSI) at the Base Station (BS), consisting of an imperfect channel estimate and statistical knowledge of the estimation error, and perfect CSI at the receivers. The objective is to maximize the minimum Average Rate (AR) among users subject to a transmit power constraint. An unconventional transmission scheme is adopted where the Base Station (BS) transmits a common message in addition to the conventional private messages. In situations where the CSIT is not accurate enough to perform interference nulling, individual rates are assisted by allocating parts of the common message to different users according to their needs. The AR problem is transformed into an augmented AverageWeighted Mean Square Error (AWMSE) problem, solved using Alternating Optimization (AO). The benefits of incorporating the common message are demonstrated through simulations.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Communications (ICC)
PublisherInstitute of Electrical and Electronics Engineers
Pages4739-4744
Number of pages6
ISBN (Electronic)978-1-4673-6432-4
DOIs
Publication statusPublished - 10 Sept 2015
Externally publishedYes
Event2015 IEEE International Conference on Communications (ICC 2015) - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Conference

Conference2015 IEEE International Conference on Communications (ICC 2015)
Abbreviated titleICC 2015
Country/TerritoryUnited Kingdom
CityLondon
Period8/06/1512/06/15

Keywords

  • AWMSE
  • max-min fairness
  • MISO-JMB

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