Canbilen, Ayşe ElifIkki, Salama Said2021-12-132021-12-132020978-1-7281-5089-51550-3607https://hdl.handle.net/20.500.13091/323IEEE International Conference on Communications (IEEE ICC) / Workshop on NOMA for 5G and Beyond -- JUN 07-11, 2020 -- ELECTR NETWORKSpatial modulation (SM) is a promising lowcomplexity alternative to the state-of-art multiple-input multiple-output (MIMO) schemes due to its unique transmission approach. In this work, the impact of channel imperfections on the performance of SM-MIMO systems are investigated over generalized Beckmann fading channels, which introduce a versatile multipath fading model that includes several distributions such as Ricean, Nakagami-m and Beaulieu-Xie, as special cases. Specifically, an optimum maximum likelihood detection (MLD) method is proposed and the average pairwise error probability (APEP) is calculated by analytical derivations. Cramer-Rao bound approach is utilized for further improvement on decreasing the deteriorating effects that rise from estimation errors. The obtained results, confirmed by computer simulations, provide a comprehensive perspective to the performance of the SM-MIMO wireless communication systems.eninfo:eu-repo/semantics/closedAccessCramer-Rao boundgeneralized Beckmann fadingimperfect channel state estimationoptimal maximum likelihood detection (MLD)spatial modulationerror performanceENVELOPEConference Object2-s2.0-85089432276