AN INTELLIGENCE SYSTEM FOR OFDM WITH SUBCARRIER POWER MODULATION AND STBC TO IMPROVE SYSTEM PERFORMANCE

Orthogonal Frequency-Division Multiplexing with Subcarrier-Power Modulation (OFDMSPM) can be a promising transmission technique for future 5G and 6G wireless communications due to saving in transmission power and higher spectral efficiency. In this paper, the OFDM-SPM technique is compounded with Alamouti Space Time Block Coding (STBC) and Artificial Neural Networks (ANN) to further study its effect on the performance parameters of the wireless system. We analyze the two main performance metrics – Bit-Error-Rate (BER) and Throughput for OFDM-SPM-BPSK-STBC and OFDM-SPM-BPSK-STBC-ANN technique. In order to make STBC work, we propose an equalizer for detecting the SPM power bits, convenience model (OFDM-SPM) for the proposed technique, and observe that there is a considerable improvement in the BER in the multi-path Rayleigh fading channels. We take two scenarios for SPM for OFDM-SPM-BPSK-STBC and OFDM-SPM-BPSK-STBC-ANN transmission. The first one is Power Reassignment Policy and the second one is Power Saving Policy. We conclude that the sub-carrier using ANN optimized power-reassignment scheme provides the best BER performance for the proposed transmission scheme while the power-saving policy for SPM provided the intermediate increase in average BER. Our results can provide the initial benchmark for the adoption and further analysis of OFDM-SPM in future communication systems.