Capacity Optimization of MIMO Links with Interference

Abstract

In this paper, we derive the capacity for MIMO links suffered from cochannel interference where each MIMO link is decomposed via SVD. Then, each eigenchannel of MIMO link is represented by a set of logical links with a set of discrete data rates and discrete powers. An Integer Programming based algorithm (named as IP) is presented to solve the capacity optimization problem. The solution specifies the set of logical links that can transmit simultaneously. Numerical results show that GP and QN methods achieve better performance than IP method for the case of weak interference because of the convexity of the optimization problem when INR is sufficiently small. In the case of strong interference, IP method achieves better performance than GP and QN methods, which means that transmitting one link at a time is better than transmitting all links simultaneously with full power. In other words, scheduling links to transmit is more efficient for the case of strong interference.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2011
Accession Number
ADA562484

Entities

People

  • John Matyjas
  • Michael Medley
  • Peng Wang

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Ad Hoc Networks
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Co-Channel Interference
  • Computer Programming
  • Data Rate
  • Integer Programming
  • Intellectual Property
  • Mesh Networks
  • Military Research
  • Multiple Access
  • Multiple Input Multiple Output
  • Optimization
  • Transmitting
  • United States Government
  • Wireless Communications

Fields of Study

  • Computer science

Readers

  • Linear Algebra
  • Radio communications and signal processing.

Technology Areas

  • Space