无人机辅助D2D通信网络安全通信资源分配算法

Resource allocation algorithm for secure communication in UAV-assisted D2D communication network

针对被动窃听下的无人机辅助D2D通信网络中能量受限、频谱短缺、同频干扰严重等问题,考虑每个用户的保密速率和发射功率约束,引入网络保密能效的概念。基于物理层安全传输理论,以最大化网络保密能效为目标,研究频谱复用和功率控制策略的联合优化问题。该问题是非线性非凸优化问题,提出了一种结合Dinkelbach算法和凸近似算法的资源分配算法,通过凸近似算法将非凸优化问题转化为几何规划问题,并结合Dinkelbach算法保证原问题收敛到全局最优解。仿真结果表明,所提算法可有效缓和同频干扰,提高网络保密能效,平衡网络安全通信性能和功耗之间的关系。

To solve the problems of energy limitation,spectrum shortage,and serious co-frequency interference in the unmanned aerial vehicle(UAV)-assisted D2D(device-to-device)communication network under passive eavesdropping,the concept of the network secrecy energy efficiency was introduced by taking into account the secrecy rate and transmit power constraints of each user.Based on the physical layer secure transmission theory,the joint optimization problem of spectrum multiplexing and power control strategies was investigated to maximize the network secrecy energy efficiency.The problem was a nonlinear nonconvex problem,a resource allocation algorithm combining Dinkelbach’s algorithm and the convex approximation algorithm was proposed to transform the nonconvex optimization problem into a geometric planning problem through the convex approximation algorithm and ensure that the original problem converges to the global optimal solution by Dinkelbach’s algorithm.Simulation results show that the proposed algorithm can effectively mitigate the co-channel interference,improve the network secrecy energy efficiency,and balance the relationship between the secure communication performance and power consumption of the network.