异构蜂窝网络中一种基于匈牙利算法的用户关联方法

发布时间：2018-09-04 11:11

【摘要】：在异构蜂窝网络中使用传统的小区选择方法会导致宏基站和小基站的负载失衡,而与小基站关联的用户面临服务质量(Qo S)的降低的问题。针对该问题,提出了一种基于效用函数最大化的用户与基站关联方法。该方法将用户与基站的关联过程建模为双目标优化问题并且线性化为系数可调的效用函数最大化问题,以实现基站负载均衡和用户Qo S之间的折中。通过设计权值系数,将该效用函数最大化问题转化为基于二部图的最大匹配,并用匈牙利算法求得最优解。仿真结果表明,该方法实现了异构蜂窝网络中宏基站与小基站之间的负载均衡,并且通过系数调节,达到了基站负载均衡和用户Qo S之间的折中。
[Abstract]:Using the traditional cell selection method in heterogeneous cellular networks will lead to the imbalance of load between the base station and the small base station, while the users associated with the small base station will face the problem of reduced quality of service (Qo S). In order to solve this problem, a method of user-base station association based on utility function maximization is proposed. In this method, the associated process between the user and the base station is modeled as a biobjective optimization problem and linearized as the utility function maximization problem with adjustable coefficients, so as to achieve the compromise between the base station load balance and the user Qo S. By designing the weight coefficient, the utility function maximization problem is transformed into the maximum matching based on bipartite graph, and the optimal solution is obtained by using the Hungarian algorithm. Simulation results show that the proposed method achieves load balance between macro base stations and small base stations in heterogeneous cellular networks, and achieves a compromise between base station load balance and user Qo S through coefficient adjustment.
【作者单位】：电子科技大学通信与信息工程学院;深圳大学现代通信与信息处理重点实验室;
【基金】：国家自然科学基金(61301182,61372078,61171071) 国家973项目(2013CB329103)
【分类号】：TN929.5

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