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Using UE-VBS for dynamic virtual small cells deployment and backhauling in 5G Ultra-Dense networks

机译:使用UE-VBS进行动态虚拟小单元部署和向5G超密集网络进行回程

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This paper builds on the UE-based Virtual Base Station (UE-VBS) concept, which enables the Smartphones (i.e., UEs) of the general population to be enhanced with Base Station and Relay Node functionalities and be embedded as an integral part of the Mobile Network Infrastructure, offering relief in stressful or overloaded situations. This paper focuses on the selection process of eligible-UEs that will be activated on-the-fly into UE-VBSs to complement and support the Mobile Network infrastructure, either as virtual small cells (VSCs) or virtual relay nodes (VRNs). We adopt a Modified Affinity Propagation Clustering (MAPC) algorithm to select UE-VBSs to act as VSCs for capacity/data rate expansion in areas where the infrastructure is weak and a more effective and agile network operation is needed. Additionally, to provide for a more spectrum efficient backhauling of mobile data traffic from the VSCs towards the BS, the Multi-hop Load balanced Geographical Path selection (MLGP) algorithm is proposed. The MAPC and MLGP algorithms are implemented and evaluated in MATLAB and also validated using the NS3 network simulator, with mobile data traffic modeled as a nonuniform distribution with respect to the time and space domain. The results demonstrated that the proposed approaches improve the network performance in terms of throughput, delay and jitter.
机译:本文在基于UE的虚拟基站(UE-VBS)概念上构建,它使得智能手机(即,UE)能够通过基站和中继节点功能来增强,并嵌入为组成部分移动网络基础设施,在压力或过载情况下提供浮雕。本文重点介绍了符合条件 - UE的选择过程,它将在飞行中激活到UE-VBS,以补充和支持移动网络基础架构,也可以作为虚拟小单元(VSC)或虚拟继电器节点(VRN)。我们采用修改的亲和传播聚类(MAPC)算法来选择UE-VBS,以充当基础设施较弱的区域的容量/数据速率扩展的VSC,并且需要更有效和更敏捷的网络操作。另外,为了提供从VSC朝向BS的移动数据流量的更多频谱衡量,提出了多跳负载平衡地理路径选择(MLGP)算法。 MAPC和MLGP算法在MATLAB中实现和评估,并且还使用NS3网络模拟器进行验证,其中移动数据流量被建模为相对于时间和空间域的非均匀分布。结果表明,提出的方法在吞吐量,延迟和抖动方面提高了网络性能。

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