Statistical analysis of multiple access interference in Rayleigh fading environment for MIMO CDMA systems

Khalid Mahmood, Syed Muhammad Asad, Muhammad Moinuddin, Azzedine Zerguine, S. Paul

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

4 Scopus citations

Abstract

A major limiting factor in the performance of MIMO-CDMA systems is multiple access interference (MAI) which can reduce the system capacity as well as bit error rate (BER). Thus, statistical characterization of MAI is vital in analyzing the performance of such systems. Since, the statistical analysis of MAI in MIMO-CDMA is quite involved especially in the presence of fading channels, existing works in literature employ suboptimal approaches to detect the subscriber without involving the need for MAI statistics such as successive interference cancellation (SIC) and parallel interference cancellation (PIC). To date, the exact characterization of multiple access interference in MIMO-CDMA is an unsolved problem. In this paper, we derive the expressions for the probability density function of MAI and MAI plus noise in MIMO-CDMA systems in the presence of both Rayleigh fading channels and additive Gaussian noise. Simulation results show that the theoretical predictions are very well substantiated.

Original languageEnglish
Title of host publication2014 IEEE Workshop on Statistical Signal Processing, SSP 2014
PublisherIEEE Computer Society
Pages412-415
Number of pages4
ISBN (Print)9781479949755
DOIs
StatePublished - 2014

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings

Keywords

  • CDMA
  • Multiple-input multiple-output (MIMO)
  • multiple access interference (MAI)
  • probability density function (pdf)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Signal Processing
  • Computer Science Applications

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