Energy Efficient and Low Complexity Signal Detection with Generalized Spatial Modulation for Massive MIMO System--Energy Efficient and Low Complexity Signal Detection

摘要

Large scale Multiple-input multiple-output (MIMO) has been widely used in the communication field for enabling high speed data transmission. Since it uses large number of transmitting antenna, the signal detection is complicated. When noticing, the performance of the system is affected by the system configurations and mechanism. In this work, generalized spatial modulation (GSM) based transmission is used in Rayleigh fading channel with known channel correlations and fading loss. The transmission mode selection based on energy efficiency is proposed based on BER requirement which reduces the complexity. The signal detection approach, Maximum likelihood QR decomposition algorithm (MLQR) is proposed with low computational complexity. The proposed approach decomposes the channel coefficients into two matrices and the likelihood detection is used for simplifying the process. The performance of the proposed approach is evaluated with the Bit error rate (BER), and Energy efficiency. The performance measure of the proposed approach is compared with the conventional approaches for showing the efficiency.