D2D Underlay Cellular Network optimization Using GA Considering OFDMA-ICI

Direct transmission between devices is now possible due to the emergence of device-to-device D2D technology. The D2D communication underlay cellular network intends to take advantage of device proximity and hence, boost consumer bitrates, as well as offer the ability to improve system capacity and energy efficiency while decreasing end-to-end latency. However, D2D devices that underlay cellular networks are vulnerable to co-channel interference, which negatively impacting network performance. Another factor that could also affect network performance and reduce the quality of service is inter-carrier interference in the orthogonal division multiple access (OFDMA) system. Most research has concentrated on co-channel interference only. This study aims to optimize network performance in the presence of both co-channel interference and OFDMA inter-carrier interference (ICI)-based multicast D2D underlay cellular networks. In comparison to different optimization techniques, the simulation results show that the proposed genetic algorithm (GA) achieves a cumulative distribution function of 0.5 at a capacity of 70 Mbps, compared to 5.5 and 6.5 for the greedy search algorithm (GSA) and binary power control (BPC), respectively. It shows the capability of successfully maintaining high network performance.