Pallav Sudarshan

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We introduce two novel joint radio-frequency (RF)-baseband designs for receivers in a MIMO system with Nt transmit antennas, Nr receive antennas, but only L ¡ Nr RF chains at the receiver. The joint design introduces an RF pre-processing matrix that processes the signals from the different antennas, and is followed by selection (if necessary),(More)
Multiple antenna transmitter and receiver architectures that combine antenna selection with RF pre-processing have been shown to significantly outperform conventional antenna selection with the same number of RF chains. Often, performance close to a full complexity architecture (with more RF chains) is also achieved. This paper studies the effect of(More)
For a multiple input multiple output system, antenna selection reduces complexity at the expense of performance. In this paper, we propose two novel RF pre-processing architectures that significantly improve the performance of antenna selection, which marginally increasing the complexity. These architectures introduce a RF pre-processing matrix, M, that(More)
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(More)
The use of multiple antennas at the transmitter and receiver can significantly improve the performance of a wireless communication system. In recent years, there has been a lot of interest in deriving efficient receiver architectures and designing signalling and coding schemes that maximize the performance gains of a multi-antenna system. In this(More)
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