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Spatial Diversity and Channel Statistics-Based RF-Baseband Co-design for Antenna Selection

Author

  • P Sudarshan
  • N B Mehta
  • Andreas Molisch
  • J Zhang

Summary, in English

For MIMO systems, we introduce two novel architectures that significantly reduce the required number of expensive RF chains and still perform as well as a conventional full complexity solution for many cases of interest. We combine RF pre-processing - based solely on channel statistics and not instantaneous channel state - with selection and corresponding baseband signal processing. For a system with L RF chains, N/sub t/ transmit and N/sub r/ receive antennas, the first architecture uses an L/spl times/N/sub r/ RF pre-processing matrix that outputs only L streams followed by baseband signal processing. The second one uses an N/sub r//spl times/N/sub r/ RF pre-processing matrix followed by selection of L streams and baseband signal processing. We derive the optimal RF pre-processing matrices and the corresponding baseband combining vectors that maximize the average output SNR. A beamforming-based geometric intuition is also developed. With the constraints of today's IC fabrication technology in mind, an approximation that requires only variable phase-shifters and adders, is also proposed and shown to incur a negligible loss in performance. In the process, a fair benchmark for comparing with the previously proposed FFT Butler pre-processing is provided.

Publishing year

2004

Language

English

Pages

1658-1662

Publication/Series

IEEE 60th Vehicular Technology Conference, VTC2004-Fall.

Volume

3

Document type

Conference paper

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • signal processing
  • diversity reception
  • beam steering
  • MIMO systems

Conference name

IEEE 60th Vehicular Technology Conference, VTC2004-Fall.

Conference date

2004-09-26 - 2004-09-29

Status

Published

ISBN/ISSN/Other

  • ISSN: 1090-3038
  • ISBN: 0-7803-8521-7