Low-Complexity Symbol Detection for Generalized Spatial Modulation MIMO Systems

The generalized spatial modulation (GSM) is a new transmission technique that has a potential to reduce the RF complexity of the multiple-input multiple-output (MIMO) transceiver. This paper presents an efficient symbol detection method targeting the GSM-MIMO systems. The proposed method modifies the cost metric used in the symbol detection in order to eliminate the unnecessary interference cancellation. Based on the modified cost metric, the detection process can be represented by a regular detection tree and the optimal solution can be found by applying the depth-first sphere decoding. When compared to the previous method, the proposed method reduces the tree visits by 67.1% in average for 5x5 64-QAM MIMO systems with three active antennas.

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