An efficient resource optimization scheme for D2D communication

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