Abstract: Wireless mobile communication has to deal with the problem of data traffic generated due to tremendous increase in wireless applications and the total energy consumption by them. The technology which deals with both these challenges is spatial modulation. Spatial modulation(SM) is a technology developed in multiple input multiple output (MIMO) by reducing its RF complexity. In conventional MIMO energy efficiency is incorporated by number of antennas at base station(BS), whereas SM switch on subset of antennas at BS instead of activating all the antennas simultaneously which reduces the complexity of cellular network. But it causes signal processing load which can be reduced by incorporating compressive sensing. A detector, based on the compressive sensing(CS) principles, for multiple-access spatial modulation channels with a large-scale antenna base station is proposed. Particularly, the use of a large number of antennas at the BSs and the structure and sparsity of the SM transmitted signals is exploited to improve the performance of conventional detection algorithms. Effectiveness of proposed strategy will be verified through simulation study on the basis of throughput, signal to noise ratio and bit error rate.
Keywords: Spatial modulation, compressive sensing, multiple access channels.