Performance Analysis of Optimized MIMO-MFSK based Energy Detection with Interference Cancellation Approach in Fading Channel

In recent years, non-coherent multiple-input multiple-output (MIMO) detection in rapid fading channels have gained much interest but is less affected by the issues like phase variations and has minimal synchronization requirements and channel estimation. In MIMO systems, the users exchange information via relay nodes that use maximum ratio combining/maximum ratio transmission. Hence, the users are unaware of the direct link, and thus it is treated as interference. This work adopts an optimized block-diagonal coded M-ary frequency shift keying (BD coded MFSK) modulation with an energy detection approach for handling direct-link interference. The proposed Energy detector with Inference cancellation (EIC) specifically designed for MIMO-MFSK (i.e. EIC-MIMO-MFSK) does not require any model for estimating the channel state information (CSI), and thereby the overhead of the system is decreased. Also, the conventional MFSK modulation does not monotonically enhance the Symbol error rate (SER) performance while increasing the modulation level. To tackle this issue, a new Aquila optimizer is introduced that minimizes the SER by detecting the optimal value of modulation levels. Furthermore, a novel block-diagonal (BD) pre-coding is developed before modulation to eliminate interference from other users. Finally, the simulation results are carried out by comparing them with existing systems. The proposed system reduces the SER performance as compared to others. The simulation results indicate that the proposed EIC-MIMO-MFSK attains a minimum SER between 10-15 dB SNR and is the best result compared to state-of-the-art techniques.