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Performance analysis of user-centric SBS deployment with load balancing in heterogeneous cellular networks: A Thomas cluster process approach

机译:异构蜂窝网络中具有负载平衡的以用户为中心的SBS部署的性能分析:Thomas集群过程方法

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In conventional heterogeneous cellular networks (HCNets), the locations of user equipments (UEs) and base stations (BSs) are modeled randomly using two different homogeneous Poisson point processes (PPPs). However, this might not be a suitable assumption in case of UE distribution because UE density is not uniform everywhere in HCNets. Keeping in view the existence of nonuniform UEs, the small base stations (SBSs) are assumed to be deployed in the areas with high UE density, which results in correlation between UEs and BS locations. In this paper, we analyse the performance of HCNets with nonuniform UE deployment containing a union of clustered and uniform UE sets. The clustered UEs are considered to be modeled according to Thomas cluster process, and random UEs are assumed to be deployed via homogeneous PPP. The SBSs are considered to be deployed at the center of the UE clusters, which results in user-centric SBS deployment. We derive outage probability and rate coverage of the proposed model. Furthermore, to improve the network performance, the impact of association biasing is also assumed. Our results show that the user-centric SBS deployment outperforms the conventional HCNets model. Increase in association bias upto a certain value results in performance improvement of the proposed user-centric HCNet. (C) 2020 Published by Elsevier B.V.
机译:在传统的异构蜂窝网络(HCNet)中,用户设备(UE)和基站(BS)的位置是使用两个不同的同质泊松点过程(PPP)随机建模的。但是,在UE分布的情况下,这可能不是一个合适的假设,因为HCNet中的UE密度在各处都不统一。考虑到不均匀UE的存在,假定小型基站(SBS)被部署在具有高UE密度的区域中,这导致UE与BS位置之间的相关性。在本文中,我们分析了HCNet的性能,其中HCUE部署了不统一的UE,其中包含群集的和统一的UE集的并集。认为群集的UE是根据Thomas群集过程建模的,并且假定随机UE是通过同类PPP部署的。 SBS被认为部署在UE群集的中心,这导致以用户为中心的SBS部署。我们推导了该模型的中断概率和速率覆盖率。此外,为了提高网络性能,还假设了关联偏差的影响。我们的结果表明,以用户为中心的SBS部署优于传统的HCNets模型。将关联偏差增加到一定值会导致建议的以用户为中心的HCNet的性能提高。 (C)2020由Elsevier B.V.发布

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