Information Theoretic Comparison of MIMO Wireless Communication Receivers in the Presence of Interference

Abstract

Multiple-input multiple-output (MI MO) wireless communication provides a number of advantages over traditional single-input single-output (SISO) approaches including increased data rates for a given total transmit power and improved robustness to interference. Many of these advantages depend strongly upon the details of the receiver implementation. For practical communication systems a competition between communication performance and computational complexity exists. To reduce computation complexity suboptimal receivers are commonly employed. In this paper the details of a variety of receivers are incorporated into the effects of the channel so that information-theoretic performance bounds can be exploited to evaluate receiver approaches. The performance of these receivers is investigated for a range of environments. Two classes of environments are considered: first channel complexity characterized by the shape of the narrowband channel-matrix singular-value distribution and second external interference Receiver approaches include minimum-mean-squared error minimum interference and multichannel multiuser detection (MCMUD) given various assumed limitations on channel and interference estimation Receiver performance implications are also demonstrated using experimental data.

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Document Details

Document Type
Technical Report
Publication Date
Dec 20, 2004
Accession Number
ADA432690

Entities

People

  • Daniel W. Bliss
  • Keith W. Forsythe

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Communication Systems
  • Communications Techniques
  • Computational Complexity
  • Contracts
  • Data Links
  • Eigenvalues
  • Environment
  • Frequency
  • Information Operations
  • Jammers
  • Jamming
  • Line Of Sight
  • Multiple Access
  • Multiple Input Multiple Output
  • Standards
  • Wireless Communications

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radio communications and signal processing.