Wireless Resource Optimization For Secure Two-Way Relay Networks With Cooperative Jamming

Abstract:Physical layer security can effectively preserve the secret information from eavesdropping by malicious users via exploiting the inherent randomness of the physical channel. However, in traditional physical layer security model, the secure performance and the bandwidth utilization are limited. In this dissertation, two-way relay and cooperative jamming are introduced to enhance the secrecy capacity by increasing the transmission rate of the main channel as well as impairing the wiretap channel. The introduction of two-way relay and cooperative jamming can also bring about new challenges for the wireless resource optimization in physical layer security. In this dissertation, the relay and jammer selection and power allocation are studied aiming at improving the secrecy capacity and optimizing configuration of the wireless resource.Firstly, a maximum secrecy capacity based optimal relay and jammer selection (MSC-RJS) scheme is proposed to improve the secrecy capacity and spectrum utilization of the secure two-way relay networks. According to the AF based secure two-way relay networks, the system model is constructed and parameters are set. Then, the equivalent SNRs of the main channel and the wiretap channel are analyzed, and the secrecy capacity of the system is also determined. Furthermore, the MSC-RJS scheme is proposed and several relay and jammer selection algorithms and the corresponding sub-optimal algorithms are also presented, which can accomplish the optimization of the secrecy capacity for the whole system by selecting proper strategy sets of relay nodes and jammers.Secondly, a Stackelberg game-based joint power control algorithm is proposed. The proposed algorithm can optimize the utility of both source nodes and jammers, and can mitigate the negative interference caused by the jammers. According to the selfness of the nodes, we analyze the competitive and cooperative relationship among source nodes, relay nodes and jammers. Then, a Stackelberg leader-follower game is modeled and the utility functions of both source nodes and jammers are formulated. The Stackelberg equilibrium is solved by the repeated iterative algorithm. Moreover, the existence and the convergence of the Stackelberg equilibrium are further proven. By the Stackelberg game-based joint power control algorithm, the benefits for both source nodes and jammer nodes can be jointly optimized.Finally, the performance evaluations of the proposed wireless resource optimization strategy for secure two-way relay networks with cooperative jamming are taken via MATLAB simulation. The results verify the efficiency of the proposed MSC-RJS strategy and the Stackelberg game-based joint power control algorithm. There are23figures,4tables, and65references in this dissertation.