Abstract
In this study, advanced multiple-input multiple-output (MIMO) techniques for body-to-body (B2B) sensor-based communication for sporting activities like running and cycling under different scenarios have been proposed. Enhanced spatial modulation and spatial media-based modulation have been investigated for efficient MIMO-based B2B communication. Special sensors have been proposed to deploy such techniques. Lognormal (LN) mixture model has been used because it can address the shadowing effects in B2B communication for such activities. Since LN mixture cannot yield closed-form expressions, it has been approximated using mixture of gamma (MG) distribution to achieve closed-form expressions for bit error rate (BER) in MIMO-based B2B communication for the first time. The system performance for the proposed methods has been analysed in terms of BER and theoretical upper bound expressions using MG distribution have been verified by Monte Carlo simulations.
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