Abstract
In this work, we study and analyze the performance of physical layer algorithms for adaptive multiple input-multiple output orthogonal frequency-division multiplexing (MIMO-OFDM) wireless systems that employ a new class of adaptive antenna systems known as reconfigurable antennas. These antennas are capable of adaptively modifying their radiation characteristics and thus leverage pattern diversity to affect how the transmitter and receiver perceive the wireless channel. We propose a low complexity spatial adaptive modulation and coding (AMC) algorithm that uses the advantages of pattern reconfigurable antennas in concert with link adaptation to improve MIMO-OFDM link throughput. The algorithm operates in two main stages; first, it searches for the antenna configuration that yields the highest post processing signal-to-noise ratio (ppSNR) and, then, applies AMC to improve spectral efficiency. The performance of the proposed scheme is experimentally evaluated for a 2×2 MIMO-OFDM wireless system in an indoor environment.
Highlights
Adaptive multiple input-multiple output (MIMO) wireless systems have been demonstrated to increase spectral efficiency and provide flexible data rates in multipath fading channels [1, 2]
We evaluate the experimental performance of the proposed scheme for a 2 × 2 MIMO-orthogonal frequencydivision multiplexing (OFDM) wireless system in an indoor environment
We demonstrate the advantage of using reconfigurable antennas in synergy with link adaptation for performance enhancement in MIMO systems
Summary
Adaptive multiple input-multiple output (MIMO) wireless systems have been demonstrated to increase spectral efficiency and provide flexible data rates in multipath fading channels [1, 2]. The AMC algorithm proposed in this paper employs instead a fixed modulation type and coding rate across all subcarriers; it uses lookup tables known to both the transmitter and receiver to minimize the volume of feedback to the transmitter and reduce the computational complexity resulting from the iterative process used in [9, 10] Another technique named block AMC (BL-AMC), presented in [11], builds on the model in [10] to reduce the volume of feedback information by performing AMC adaptation based only on a single OFDM symbol rather than on all subcarriers. These measures helped reduce the negative impact of training overhead on throughput gains, and minimized training time but provided data transmission opportunity
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