In this work, we study and analyze the performance of physical layer algorithms for adaptive multiple input-multiple\noutput orthogonal frequency-division multiplexing (MIMO-OFDM) wireless systems that employ a new class of\nadaptive antenna systems known as reconfigurable antennas. These antennas are capable of adaptively modifying\ntheir radiation characteristics and thus leverage pattern diversity to affect how the transmitter and receiver perceive\nthe wireless channel. We propose a low complexity spatial adaptive modulation and coding (AMC) algorithm that\nuses the advantages of pattern reconfigurable antennas in concert with link adaptation to improve MIMO-OFDM link\nthroughput. The algorithm operates in two main stages; first, it searches for the antenna configuration that yields the\nhighest post processing signal-to-noise ratio (ppSNR) and, then, applies AMC to improve spectral efficiency. The\nperformance of the proposed scheme is experimentally evaluated for a 2 Ã?â?? 2 MIMO-OFDM wireless system in an\nindoor environment.
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