基于C-RAN前向压缩的物联网安全通信方法

Secure communication approach for Internet of things based on C-RAN fronthaul compression

提出了一种云无线接入网络(C-RAN, cloud radio access network)安全通信系统下行资源分配算法,该算法在满足物联网信息终端的信干噪比、物联网窃听终端信干噪比和前向链路容量等约束条件下,通过联合优化基站模式、量化噪声和波束成形等参数实现系统功率最小化。此设计是一个非凸优化问题,为了有效求解该问题,采用分步优化方法将原问题进行分解。提出利用半定松弛技术和函数平滑方法,并通过迭代差分凸函数法求得原问题的次优解。通过二分法确定基站模式,再优化基站发射功率。仿真结果表明,所提联合优化算法相比组稀疏优化算法和基准算法具有更好的性能,且其性能接近穷举法。

A resource allocation algorithm was proposed for downlink C-RAN secure communication system. This algorithm jointly optimized the parameters of base station(BS) mode, quantized noise and beamforming under the constraints of SINR requirements of Internet of things information receiver, eavesdropped receiver and fronthaul link capacity. Such a design was a non-convex optimization problem, and a step-by step optimization algorithm was proposed to decompose the original optimization problem efficiently. Semi-definite technique and function smoothing approach were adopted, and the local optimization solution of the original problem was obtained by the iterative different of convex method. Bi-section approach was further proposed to determine BS mode, and the transmitting power of the BSs were finally optimized. Simulation results indicate that the proposed joint optimization algorithm achieves better performance than group sparse optimization algorithm and baseline algorithm, and it has approximate optimal performance as the exhaustive search algorithm.