基于D2D通信系统的无人机辅助物联网保密通信频谱共享方法

Spectrum Sharing Planning of UAV-assisted Secure Communications in IoT Based on D2D Communication Systems

保密通信作为物联网安全的一项核心技术近些年受到了广泛关注。无人机(UAV)由于其高机动和灵活部署等特性,被认为是提高物联网通信安全的有力手段。针对当前物联网中UAV辅助保密通信频谱利用率问题,研究了UAV和地面设备到设备(Device-to-Device, D2D)通信系统频谱共享的系统保密容量最大化,提出了一种基于块坐标下降(Block Coordinate Descent, BCD)法的频谱共享算法,该算法通过联合优化系统中发送方(UAV和地面设备对)的传输功率和无人机轨迹,在确保地面设备对和UAV能够共存的情况下最大化接收方的保密容量。具体来说,该算法通过差分凸规划(Difference of Two Convex Functions, DC)方法优化固定轨迹下的系统功率,利用连续凸优化方法解决给定发射功率的UAV轨迹优化问题。仿真结果表明,所提方法在多种参数配置下都能有效提高系统的保密容量,并且和其他算法相比有更低的功率消耗。

Secure communication,as a core technology of internet of things security,has been widely concerned in recent years.At the same time,UAVs are considered a powerful means to improve the communication security of internet of things due to their high mobility and easy deployment.To deal with the spectrum utilization problem for a mobile UAV-assisted secure communication in internet of things,the maximization of secrecy capacity for the communication system where UAVs and the ground Device-to-Device(D2D)communications share the spectrum is studied,and a spectrum sharing planning algorithm is proposed based on the Block Coordinate Descent(BCD)method.The design aims to maximize the total secrecy capacity by optimizing the transmit power and the UAV s trajectory jointly while guaranteeing the coexistence of the UAV and D2D pairs.To be specific,firstly,the transmit power based on a fixed UAV s trajectory is optimized by Difference of Two Convex Functions(DC)programming.Secondly,the problem of UAV s trajectory optimization with given transmit power is solved by the SCA method.Simulation results show that the proposed algorithm can effectively increase the system secrecy capacity under various parameter configurations,and has lower power consumption compared with other algorithms.