Interference Management And Secure Channel Selection For D2D Communications

Device-to-Device communication has become a current research hotspot in recent years due to its high speed, low power consumption and low latency, which has great advantages in improving system throughput and improving spectrum resource utilization. When D2D communication and cellular communication share spectrum resources in multiplexing mode, there is interference between links if D2D communication uses the same resources as cellular communication. Meanwhile, because the users access randomly in wireless networks, D2D security issues in communications are also worthy of studying. In this thesis, I focus on the interference management and secure channel scheduling of D2D communication, and propose a resource allocation scheme and a channel selection strategy. The performance of the system is simulated and analyzed. The main work is as follows:To begin with, this thesis introduces three modes of D2D communication: cellular mode, orthogonal mode and multiplexing mode.This thesis mainly analyzes the interference when D2D communication reuses the resources of cellular communication system. Then, the thesis introduces the main challenges of D2D communication. The two problems of interference management and D2D secure communication are discussed.Meanwhile, the existing researches of these problems are analyzed and discussed, which is the foundation of the following researches.Moreover, this thesis focuses on the interference management problem between cellular communication and D2D communication. Then a resource allocation scheme based on Genetic Algorithm (GA) is proposed to increase the system throughput as well as to reduce the system interference. The scheme makes the D2D users which have a far distance with cellular users reuse the same channel as the cellular users, which improves the system throughput. The simulation results show that the proposed scheme is close to the optimal solution and can improve the system throughput compared with the random access resource scheme. The proposed scheme effectively controls the system interference.Finally, this thesis considers a scenario, which contains multiple D2D users and an eavesdropper. The objective is to maximize the secrecy rate of D2D users. The system model is established by the tradeoff between the D2D users’ number and the existence of the eavesdropper in the same channel. A secure channel scheduling strategy based on game theory is proposed. The scheme makes each D2D user access the channel with the current highest secrecy rate when accessing the channel. The simulation results show that, compared with the equal probability secu re channel strategy, the proposed scheme can effectively improve the secrecy rate by 18.8%.