The diagonal vector Gaussian finite state MAC with cooperative encoders and delayed CSI

Ziv Goldfeld, Haim H. Permuter, Benjamin M. Zaidel

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

Abstract

In this paper, the capacity region of the diagonal vector Gaussian finite-state multiple access channel (MAC) with partially cooperative encoders is derived. The diagonal vector channel models an OFDM based communication system. Partial cooperation here is in the sense that the encoders communicate with each other through finite-capacity links. The channel states are assumed to be governed by a Markov processes. Full channel state information (CSI) is assumed at the receiver, while only delayed CSI is available at transmitters. The capacity region is presented in a convex optimization form, thus it can be easily computed using numerical tools. The region is derived by first upper bounding the general capacity expressions and then achieving these upper bounds by choosing a specific distribution for the channel input vectors. In order to do so, extensions to the multivariate case of tools and properties used in [1] for the non time-varying, scalar model, are presented.

Original languageEnglish
Title of host publication2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
DOIs
StatePublished - 1 Dec 2012
Event2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012 - Eilat, Israel
Duration: 14 Nov 201217 Nov 2012

Publication series

Name2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012

Conference

Conference2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
Country/TerritoryIsrael
CityEilat
Period14/11/1217/11/12

Keywords

  • Capacity region
  • Convex optimization
  • Cooperative encoders
  • Delayed CSI
  • Diagonal vector channel
  • Finite-state channel
  • Gaussian multiple-access channel
  • Multiple-access channel

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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