异构无线网络干扰效率最大顽健资源分配算法  

Robust Resource Allocation for Interference-Efficiency Heterogeneous Wireless Networks

作　　者：徐勇军[1,2] 李国权 陈前斌[1] 林金朝[1] XU Yong-jun;LI Guo-quan;CHEN Qian-bin;LIN Jin-zhao(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Shandong Provincial Key Lab of Wireless Communication Technologies,Shandong University,Jinan,Shandong 250100,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]山东大学山东省无线通信技术重点实验室,山东济南250100

出　　处：《电子学报》2020年第3期545-553,共9页Acta Electronica Sinica

基　　金：国家自然科学基金项目(No.61601071);重庆市教委科学技术研究计划基金资助项目(No.KJQN201800606);山东大学山东省无线通信技术重点实验室开放课题(No.SDKLWCT-2019-04);重庆市基础研究与前沿探索专项面上项目(No.cstc2019jcyj-msxmX0666);重庆市自然基金重点项目(No.2019jcyj-zdxmX0008)。

摘　　要：针对能效提升、宏用户干扰减小的问题,该文研究了基于干扰效率最大的异构无线网络顽健资源分配算法.首先,考虑宏用户干扰约束、微蜂窝用户速率需求约束和最大发射功率约束,将资源优化问题建模为多变量非线性规划问题.其次,考虑有界信道不确定性模型,利用Dinkelbach辅助变量方法和连续凸近似方法结合对数变换方法,将原分式规划顽健资源分配问题转换为等价的确定性凸优化问题,并利用拉格朗日对偶算法获得解析解.理论分析了计算复杂度和参数不确定性对性能的影响.仿真结果表明该算法具有较好的干扰效率和鲁棒性.To improve energy efficiency and reduce the interference to macro users(MUs),this paper studies robust resource allocation for interference efficiency(IE)maximization in heterogeneous wireless networks.Firstly,considering the maximum interference power constraint of MU,the minimum rate requirements of femto users(FUs)and the maximum transmit power constraint of femto base station,the resource allocation problem is modeled as a multivariate nonlinear programming problem.Secondly,under bounded channel uncertainties,the original fractional programming problem is converted into a convex optimization problem by using Dinkelbach’s method,logarithmic transformation and the successive convex approximation,where the analytical solution is resolved by using Lagrangian dual approach.And computational complexity and the cost of robustness are also analyzed.Finally,simulation results show that the proposed algorithm has better IE and robustness.

关 键 词：异构无线网络 干扰效率 顽健资源分配 连续凸近似 

分 类 号：TN929.5[电子电信—通信与信息系统]