Performance of precoded integer-forcing for closed-loop MIMO multicast

Elad Domanovitz, Uri Erez

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

Abstract

The integer-forcing receiver architecture has recently been proposed as a high-performance, yet low-complexity, equalization scheme, that is applicable when all data streams are encoded with the same linear code. It was further shown in [1], that this receiver architecture, when coupled with space-time linear precoding is able to achieve the capacity of the open-loop multiple-input multiple-output channel, up to a constant gap that depends only on the number of transmit antennas. The gap, however, is quite large and thus provides performance guarantees that are useful only for high values of capacity. In this work, we consider the problem of multicast over multiple-input multiple-output channels to a modest number of users, and with space-only linear precoding. It is assumed that channel state information is available to the transmitter, allowing it to optimize the precoding matrix so as to maximize the achievable transmission rate. It is numerically demonstrated that this architecture allows to very closely approach the multicast capacity at all transmission rates regimes.

Original languageEnglish
Title of host publication2014 IEEE Information Theory Workshop, ITW 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages282-286
Number of pages5
ISBN (Electronic)9781479959990
DOIs
StatePublished - 1 Dec 2014
Event2014 IEEE Information Theory Workshop, ITW 2014 - Hobart, Australia
Duration: 2 Nov 20145 Nov 2014

Publication series

Name2014 IEEE Information Theory Workshop, ITW 2014

Conference

Conference2014 IEEE Information Theory Workshop, ITW 2014
Country/TerritoryAustralia
CityHobart
Period2/11/145/11/14

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications

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