Adaptive Transceivers for Wireless Spectrum Networks

Abstract

This project has been concerned with joint transmitter-receiver adaptation in a distributed, peer-to-peer wireless network. Parameters that can be adapted at the transmitter include rate, power, and signatures in space-time-frequency. In this report we summarize our work on the following topics: (1) Limited feedback schemes for optimizing spatial signatures for Multi-Input Multi-Output (MIMO) channels, and power and rates for multi-carrier transmission; (2) Optimization of training overhead for MIMO block fading channels with least squares filter estimation; (3) Optimization of training overhead with limited feedback for wideband multi-carrier channels, and for a narrowband channel with beamforming; (4) Allocation of training and data power U for a time-selective fading channel with known channel state information; (5) Source-channel coding schemes for block fading channels based on erasure and multi-resolution coding; and (6) Distributed power control for peer-to-peer networks based on the exchange of interference prices. Our main results characterize what channel state information should be exchange between the recover and transmitter (or neighboring transmitters in a distributed network) to provide substantial gains in spectral efficiency.

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Document Details

Document Type
Technical Report
Publication Date
Aug 21, 2007
Accession Number
ADA474081

Entities

People

  • Michael L. Honig

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Channel Estimation
  • Code Division Multiple Access
  • Coding
  • Engineering
  • Frequency
  • Frequency Bands
  • Information Exchange
  • Information Theory
  • Kalman Filters
  • Multiple Access
  • Multiple Input Multiple Output
  • Spread Spectrum
  • Students
  • Transmitters
  • Wireless Communications
  • Wireless Networks

Fields of Study

  • Engineering

Readers

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

Technology Areas

  • Space