Power Minimization in Artificial Noise Aided Generalized Spatial Modulation.

Artificial noise (AN) has been proposed as an efficient way to improve the physical security of multiple input multiple output (MIMO) systems at the cost of power efficiency. In this letter, we first introduce AN to generalized spatial modulation (GSM) systems, which has never been reflected in the previous researches. Besides, a novel power minimization (PM) design for AN aided GSM is proposed, aiming at improving the power efficiency while maintaining the jamming effect of AN. We analyze the power optimization ratio of this PM aided AN (PM-AN) scheme. Moreover, we derive the theoretical bounds of the average bit error rate (BER) for the legitimate receiver and eavesdropper over fading channels. Simulation results validate our derived theoretical bounds and prove that the PM-AN scheme outperforms its conventional AN counterpart with higher reliability and higher security.