Low-complexity interference cancellation algorithms for detection in media-based modulated uplink massive-MIMO systems

Media-based modulation (MBM) is a novel technique that can improve the spectral efficiency of existing wireless systems. In MBM, multiple radio frequency (RF) mirrors are placed near transmit antenna(s) and switched ON/OFF to create different channel fade realizations. such systems, additional information conveyed through status RF along with conventional symbols. A challenging task at receiver detect transmitted symbols extract from realization used for transmission. this paper, we consider massive MIMO (mMIMO) system where each user relies on MBM transmitting base station, investigate problem symbol detection station. First, propose mirror activation pattern (MAP) selection based modified iterative sequential algorithm. With proposed algorithm, most favorable MAP selected, followed by corresponding selected MAP. Each solution subjected reliability check before getting update. Next, introduce $K$ search interference cancellation (KMAP-IIC) particular, rule introduced in KMAP-IIC deciding set MAPs over which performed, greedy update scheme detecting user. Simulation results show algorithms exhibit superior performance-complexity trade-off techniques MBM-mMIMO