Large system analysis of the Successive Encoding Successive Allocation Method for the MIMO BC

Christian Guthy*, Wolfgang Utschick, Michael L Honig

*Corresponding author for this work

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

1 Scopus citations

Abstract

Analytical expressions for the average sum rate of signal processing algorithms which require full Channel State Information at the transmitter are hard to obtain in practice. In the large system limit, where at least two system parameters go to infinity at a finite fixed ratio, analytical expressions can often be obtained, which also serve as a good approximation in systems with finite parameters. In this paper we present a large system analysis of the Successive Encoding Successive Allocation Method (SESAM) with Minimum Mean Square Error (MMSE) filters, which can almost achieve the optimum sum capacity at drastically reduced complexity. An analytical approximation of the asymptotic sum rate for Rayleigh fading channels is derived and compared with simulations in finite systems.

Original languageEnglish (US)
Title of host publication2010 International ITG Workshop on Smart Antennas, WSA 2010
Pages226-231
Number of pages6
DOIs
StatePublished - Jun 8 2010
Event2010 International ITG Workshop on Smart Antennas, WSA 2010 - Bremen, Germany
Duration: Feb 23 2010Feb 24 2010

Publication series

Name2010 International ITG Workshop on Smart Antennas, WSA 2010

Other

Other2010 International ITG Workshop on Smart Antennas, WSA 2010
Country/TerritoryGermany
CityBremen
Period2/23/102/24/10

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Large system analysis of the Successive Encoding Successive Allocation Method for the MIMO BC'. Together they form a unique fingerprint.

Cite this