TR2004-077

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


    •  Sudarshan, P., Mehta, N.B., Molisch, A.F., Zhang, J., "Spatial Diversity and Channel Statistics-Based RF-Baseband Co-Design for Antenna Selection", IEEE Vehicular Technology Conference (VTC), September 2004, vol. 3, pp. 1658-1662.
      BibTeX TR2004-077 PDF
      • @inproceedings{Sudarshan2004sep2,
      • author = {Sudarshan, P. and Mehta, N.B. and Molisch, A.F. and Zhang, J.},
      • title = {Spatial Diversity and Channel Statistics-Based RF-Baseband Co-Design for Antenna Selection},
      • booktitle = {IEEE Vehicular Technology Conference (VTC)},
      • year = 2004,
      • volume = 3,
      • pages = {1658--1662},
      • month = sep,
      • issn = {1090-3038},
      • url = {https://www.merl.com/publications/TR2004-077}
      • }
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  • Research Area:

    Communications

Abstract:

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. The architectures we propose combine RF pre-processing - based soley on channel statistics and not instananeous channel state - with selection and corresponding baseband signal processing. For a system with L RF chains, Nt transmit and Nr receive antennas, the first architecture uses an L x Nr RF pre-processing matrix that outputs only L streams followed by baseband signal processing. The second mone uses an Nr x Nr 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 signal to noise ratio. A beamforming-based geometric intuition is also developed. With the contraints of tody'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 preprocessing is provided.

 

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