Resource Allocation for Secure SWIPT-Enabled D2D Communications With $\alpha$ Fairness

Device-to-device (D2D) communication is an emerging paradigm that can improve system capacity and spectral efficiency by using cooperative coexisting with cellular networks. In spite of these advantages, D2D suffers from unfair resource usage, security risks posed eavesdroppers, limited energy storage. To deal issues, in this paper, we propose a allocation algorithm to maximize the security-aware (EE) for users (DUs) simultaneous wireless information power transfer (SWIPT)-enabled $\alpha$ fairness, where multiple random eavesdroppers are present. particular, formulate multi-objective problem jointly optimizing transmit power, power-splitting (PS) factors DUs, sub-channel factor under constraints, including maximum interference each user, DU, PS factor, integer assignment. solve non-convex problem, iterative developed obtain sub-optimal solution. Simulation results verify proposed outperforms benchmark algorithms terms balancing secrecy EE fairness.