"C-RAN前向压缩下的物联网安全通信资源分配算法：功耗最小化与性能优化"

The document "基于C-RAN前向压缩的物联网安全通信方法" proposes a secure communication system for the Cloud Radio Access Network (C-RAN) in the Internet of Things (IoT) environment. The algorithm aims to minimize system power consumption while meeting constraints such as signal-to-noise ratio for IoT information terminals, signal-to-noise ratio for eavesdropping IoT terminals, and forward link capacity. The proposed algorithm involves a non-convex optimization problem which is decomposed using a step-wise optimization approach. It introduces the use of semi-definite relaxation techniques and function smoothing methods to obtain suboptimal solutions through iterative differential convex function methods. The algorithm determines the base station mode using a binary search method followed by the optimization of base station transmission power. Simulation results demonstrate that the joint optimization algorithm outperforms sparsity optimization algorithms and benchmark algorithms, while approaching the performance of exhaustive search methods. This indicates the effectiveness of the proposed algorithm in enhancing system efficiency and security in C-RAN environments for IoT communication. In conclusion, the research presented in the document highlights the significance of optimizing resource allocation in C-RAN networks to ensure secure communication in IoT applications. By leveraging a combination of optimization techniques and iterative methods, the proposed algorithm showcases improved performance compared to existing approaches. This contributes to the advancement of secure and efficient communication systems for IoT devices in C-RAN environments.