Distributed Power Optimization for Security-Aware Multi-Channel Full-Duplex Communications: A Variational Inequality Framework

摘要: In this paper, we consider the physical layer security issue for multi-channel full-duplex (FD) communications in presence of eavesdroppers. There co-exist multiple FD pairs, where two users each pair perform bi-directional transmissions. The secure communication is then challenged by users’ self-interference, external interference from other and threats We investigate problem a distributed perspective formulate as non-cooperative game, user optimizes their power allocation over channels to maximize own secrecy rate. Confirming existence Nash equilibrium, introduce an equivalent variational inequality (VI) formulation derive sufficient condition equilibrium be unique. develop iterative security-aware water-filling (ISWF) algorithm that can implemented at individual manner prove unique also claims convergence ISWF algorithm. Furthermore, extend our heterogeneous cases there half-duplex with different requirements networks, demonstrate they all covered special under formulated VI framework. Finally, present simulation results validate theoretical findings.