基于干扰效率多蜂窝异构无线网络最优基站选择及功率分配算法

针对多蜂窝多用户异构无线网络干扰管理和效率提升问题，该文研究了基于干扰效率最大的下行链路基站(BS)-用户匹配和功率分配问题。首先，考虑宏用户和微蜂窝用户的服务质量，将问题建模为多变量混合整数非线性规划问题。其次将原问题分解为基站选择和功率分配两个子问题。针对基站选择问题，利用凸优化问题获得最优基站选择策略；针对功率分配问题，利用二次变换法和Dinkelbach辅助变量法，将功率分配问题转换为凸优化问题求解。仿真结果表明，与现有算法对比，该算法具有较好的干扰效率和干扰控制性能。

Interference Efficiency-based Base Station Selection and Power Allocation Algorithm for Multi-cell Heterogeneous Wireless Networks

To solve interference management and efficiency improvement of multi-cell multi-user heterogeneous wireless networks, the downlink Base Station (BS)-user matching and power allocation problem are studied to maximize the interference efficiency of femtocells. Firstly, consideration of quality of service of macro cell users and femtocell users, the problem is formulated as a multivariate mixed integer nonlinear programming problem. Secondly, the problem is decomposed into two subproblems. The BS selection problem is solved by convex optimization technique. The power allocation problem is firstly converted into a convex one by using quadratic transformation method and Dinkelbach approach, then the problem is resolved by using Lagrange dual methods and subgradient methods. Simulations results show the effectiveness of the proposed algorithm by comparing with the existing algorithms in terms of interference efficiency and interference management.