超密集网络的动态无线回程拓扑管理方法

为了提高超密集网络的无线回程拓扑管理效率和网络性能，提出了一种基于网络状态的动态无线回程网络拓扑管理方法。网络状态定义为基站的有效回程能力和回程需求二元组。将无线回程网络拓扑管理问题转换为上游节点选择问题，并建模为最小化所有基站的上游基站数总和的优化问题，通过分布式算法获得确定回程业务所需上游节点的拓扑管理方案。提出有效回程容量和回程路损2种有效回程能力，从而获得2种拓扑管理方案。仿真结果表明，该方法能使无线回程网络的回程容量和实际回程吞吐率自适应回程业务需求的动态变化，并且在回程满意度上，基于有效回程容量的拓扑管理方案优于基于回程路损的拓扑管理方案。

Dynamic wireless backhaul topology management for ultra-dense networks

To improve the topology management efficiency and network performances of ultra-dense networks, this paper proposes a network state-based dynamic topology management approach. A network state of a base station is a two-tuple consisting of its effective backhaul capability and backhaul traffic demand. The problem of the wireless backhaul network topology management is changed to a superior node selection problem, which is formulated as an optimization problem by minimizing the total number of superior nodes of all base stations in wireless backhaul networks. The solutions to the optimization problem are specified by a distributed algorithm. Taking the effective backhaul capacity and the pathloss of the backhaul links as an effective capability respectively, two topology management solutions can be obtained. Simulation results show that the proposed approach enables the backhaul capacity and actual backhaul throughput to adapt to the dynamic changing of the backhaul traffic demand. Moreover, from the perspective of backhaul satisfaction ratio, the effective backhaul capacity-based solution outperforms the backhaul pathloss-based solution.