异构超密度网络中联合资源划分和卸载分析

Joint Resource Partitioning and Offloading Analysis in Heterogeneous Ultra-Dense Networks

针对异构超密度网络中宏基站和小基站之间负载不均衡问题,提出了一种基于用户与最近基站间距离的通用卸载框架。通过划分网络频谱资源,并利用随机几何,在保证被卸载宏用户服务质量的基础上,进一步推导出处于固定区域以及处于随机区域用户的覆盖概率和平均遍历速率表达式。仿真结果表明,采用资源划分与卸载相结合的方法在有效缓解宏基站拥塞的同时也提高了用户的覆盖概率和平均遍历速率,进而为实际网络的部署提供了重要理论依据。

For the problem of load balancing between macro base station and small base station in heterogeneous ultra-dense networks, a general offloading framework is proposed based on the distance between users and the nearest base station. By partitioning network spectrum resource and using stochastic geometry, the expression of coverage probability and average ergodic rate of users in the fixed region and the random region are deduced on the basis of guaranteeing the quality of service of the macro users offloaded. The simulation results show that the combination of resource partitioning and offloading effectively improves the coverage probability and average ergodic rate of users while alleviating the congestion of the macro base stations.This provides an important theoretical basis for virtually deployment of networks.