超密集网络中的负载迁移机制

M. Salhani, M. Liinaharja
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引用次数: 2

摘要

超密集网络(Ultra-dense network, udn)是5G网络的主要技术之一,可用于提高网络覆盖率。由于在UDN热点地区密集部署小型基站,导致流量分布不均匀。在本文中,我们提出了一种新的机制,以便将额外的用户从小小区转移到基于无线光纤(RoF)系统的小小区内实现的几种负载平衡方法。为了在小小区接入点之间选择最佳重叠区域和最佳候选用户,提出了公共区域法、最差区域法和混合方法。为了将额外的用户转移到宏细胞,我们建议采用后转移方法、前转移方法和主动方法。仿真结果表明,所提方法成功地实现了接入点间的负载均衡,并有选择地将负载从过载的小小区转移到大小区。在某些情况下,余额改善率可以达到97.94%。此外,与不将用户转移到macrocell的情况相比,总体平衡效率提高了51.32%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Load Migration Mechanism in Ultra-Dense Networks
As one of the main technologies in 5G networks, Ultra-dense networks (UDNs) can be used to improve the network coverage. The dense deployment of small cells in UDN hotspots generates an uneven traffic distribution. In this paper, we propose a novel mechanism in order to transfer the extra users from the small cells to the macrocells based on several load balancing approaches implemented within the small cells, which are formed based on the Radio-over-Fiber (RoF) system. To select the best overlapping zone and then the best candidate user to be handed-over between the access points of the small cells, a common zone approach, a worst zone approach and a mixed approach are proposed. With the objective of transferring the extra users to the macrocells, we suggest a transfer after approach, a transfer before approach and an active approach. The simulation results indicate that the proposed approaches succeed to balance the load among the access points and to migrate the required load from the overloaded small cells to the macrocells in selective way. In some cases, the balance improvement ratio can reach 97.94%. Moreover, the overall balance efficiency is increased by 51.32% compared to the case without transferring users to the macrocells.
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