异构重叠蜂窝网中基于业务选择的流量均衡

未来多种无线接入网必将融合成一个异构无线系统，研究如何提高整个异构系统的利用率并服务尽可能多的移动用户就有着重要的意义，本文针对异构重叠蜂窝网络提出了一种基于业务选择的流量均衡算法，该算法能够将热点小区的非实时性业务转移到负载较轻的重叠覆盖异构小区，同时还采取了一些措施来改善转移业务的服务质量．仿真结果表明，整个异构蜂窝系统各方面的性能得到了较大改善。

Load Balancing Based on Traffic Selection in Heterogeneous Overlapping Cellular Networks

In the future, different wireless access networks will be integrated to a heterogeneous network. It will be a very significant research to find out how to increase the overall heterogeneous system utilization and to serve as many mobile stations as possible. This paper, proposed a load balancing algorithm based on traffic selection for the heterogeneous overlapping cellular networks, which can balance workload of hot-spots among heterogeneous under-loaded cells by only selecting mobile stations with non-real time traffic. Meanwhile, there are some measures to guarantee the QoS of transferred traffic. Simulation results show that several performances of overall heterogeneous overlapping cellular system are improved significantly.