Distributed base station mobility strategy and load balancing in wireless networks

M. He, Ying Yang, Weidong Wang
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引用次数: 2

Abstract

Network designers expect a highly mobile, highly responsive, and quickly deployable network structure to enable communication in emergency situations. For this reason, a major research goal for emerging mobile network (mobile sensor network, mobile ad hoc network, etc.)is to achieve good coverage and robust communication performance by coordinated management of base stations or nodes. In this paper, we extend current methods to balancing cell load by taking base station mobility into account.We propose a novel distributed base station mobility strategy (DMS). We focus on a recently attractive network model where localized communication is supported by using mobile base stations (MBSs) placed on moving vehicles. In order to minimize the blocking rate in high traffic density area, the proposed strategy will lead the MBSs to suitable locations and re-share the whole traffic load. We demonstrate the convergence of this distributed mobility strategy by both theoretical analysis and numerical evaluations of realistic networks. The strategy enables each MBS to select destination efficiently and locally with limited information exchange. Compared with the traditional load balancing method based on transmit power control, the proposed algorithm has obvious advantages in reducing the dropped calls, especially with extremely uneven load distribution.
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无线网络中分布式基站移动策略与负载均衡
网络设计者期望一个高度移动、高度响应和快速部署的网络结构,以便在紧急情况下进行通信。因此,新兴移动网络(移动传感器网络、移动自组网等)的一个主要研究目标是通过对基站或节点的协调管理来实现良好的覆盖和稳健的通信性能。在本文中,我们扩展了现有的方法,通过考虑基站的移动性来平衡小区负载。提出了一种新的分布式基站移动策略。我们的重点是最近有吸引力的网络模型,其中使用移动基站(MBSs)放置在移动车辆支持本地化通信。在交通密度高的地区,该策略会将交通管理系统引导至合适的位置,并重新分担整个交通负荷,以减低阻塞率。我们通过理论分析和实际网络的数值评估证明了这种分布式移动策略的收敛性。该策略使每个MBS能够在有限的信息交换下高效地选择目的地。与传统的基于发射功率控制的负载均衡方法相比,该算法在减少掉话方面具有明显的优势,特别是在负载分布极不均匀的情况下。
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