An efficient resource optimization scheme for D2D communication

 With the rapid development of wireless technologies, wireless access networks have entered their Fifth-Generation (5G) system phase. The heterogeneous and complex nature of a 5G system, with its numerous tech-nological scenarios, poses significant challenges to wireless resource management, making radio resource opti-mization an important aspect of Device-to-Device (D2D) communication in such systems. Cellular D2Dcommunication can improve spectrum efficiency, increase system capacity, and reduce base station communi-cation burdens by sharing authorized cell resources; however, it also causes serious interference. Therefore,research focusing on reducing this interference by optimizing the configuration of shared cellular resources hasalso grown in importance. This paper proposes a novel algorithm to address the problems of co-channel inter-ference and energy efficiency optimization in a long-term evolution network. The proposed algorithm uses thefuzzy clustering method, which employs minimum outage probability to divide D2D users into several groups inorder to improve system throughput and reduce interference between users. An efficient power control algorithmbased on game theory is also proposed to optimize user transmission power within each group and therebyimprove user energy efficiency. Simulation results show that these proposed algorithms can effectively improvesystem throughput, reduce co-channel interference, and enhance energy efficiency.