超密集网络中负载均衡感知的初始关联控制算法

为了解决移动数据流量和大量移动终端的空前增长问题,超密网络部署已作为一种经济高效的解决方案来减轻小蜂窝网络的负载。不同的超密集网络的拓扑结构将导致不同的覆盖范围,每个用户设备将会有多个可接入点。针对这种情况,研究了软件定义的超密集网络下基于分布式和集中式两种方式的初始连接控制。提出了一种集中式的、稳定的、可负载平衡感知的关联控制算法来减少数据面的切换次数。这是一种统一的初始关联控制和负载均衡的管理方式。最后,评估了基于分布式接入和集中式接入的初始关联控制的依照切换次数的稳定性。结果表明,集中式接入的关联控制算法性能比分布式接入更好。

Algorithm of Load-balance aware Initial Association Control in UDNs

To address the challenges of unprecedented growth in mobile data traffic and massive mobile terminals, ultra dense network deployment is a cost efficient solution to offload the traffic over other small cells. The different topology of ultra-dense network will result in different coverage pattern, and create more than one candidate access points for one User Equipment. In this paper, we investigate the initial association control in a software defined ultra-dense network in a distributed and centralized way. We propose a centralized association control algorithm by considering load balancing in the initial association to reduce the number of handovers performed in data transmission. Finally, we evaluate the performance of the proposed algorithm on stability in terms of the number of handovers performed on both distributed and centralized access for the initial association control. The results show that the centralized association control algorithm performs better than the distributed one.