In this paper, a state-of-the-art massive MIMO mod- ulation system, spatial scattering modulation (SSM), is evaluated considering practical indoor wireless environments for the first time. Firstly, the SSM system is reviewed, which works under the narrowband sparse physical channel model and exploits beamspace domain resources to enhance spectral efficiency via analog beamforming. Secondly, to generate parameters for the narrowband sparse physical channel model in a specific indoor environment, channel prediction is performed based on the intel- ligent ray launching algorithm (IRLA), which has been verified via practical measurements. Therein, building structures and large objects in the indoor environment are modelled. Thirdly, an approach is proposed for characterizing ergodic average bit error probability (ABEP) to evaluate the SSM system in the indoor environment. Finally, numerical experiments are carried out, which show that channel models widely adopted in existing literature for evaluations of the SSM system are oversimplified.

Spatial scattering modulation;massive MIMO;analog beamforming;intelligent ray launching algorithm;indoor radio wave propagation;bit error probability