Research on Coverage Probability in Ultra-Dense 5G Heterogeneous Cellular Networks Based on Poisson Clustered Process

Liu, Li-Yu; Ma, Zhuang; Xue, Yu; Yan, Wenbo; Li, Yingying

doi:10.1007/s11277-017-3970-4

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…However, for K‐tier heterogeneous networks (

K > 1

), since BSs belonging to different tiers, such as macro BS, pico BS and femto BS, were always deployed in a hybrid way, a practical BS deployment always exhibited clustering among the BSs [26], which indicated that it was hard to apply the repulsive property of real homogeneous BSs into multiple tier heterogeneous networks. Considering this problem, Gauss‐Poisson process [27] had been recently used to model spatial distribution with attraction for clustering nodes.…”

Section: Introductionmentioning

confidence: 99%

Characterization of base station deployment distribution and coverage in heterogeneous networks

Zhang

Liang²,

Zheng

et al. 2021

IET Communications

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Considering different types of base stations (BSs) in future cellular networks are overlapping deployment with the status of dense, multi-tier and heterogeneous in general, how to optimize the real BS deployment becomes a complicated problem. Based on it, repulsive BS dataset and clustering BS dataset are statically characterized with various types of spatial point processes. It shows that the improvement of coverage probability between 1-tier and 2-tier network fluctuates as the signal-to-interference ratio (SIR) threshold increases for different datasets. The authors' proposed hybrid model fits well with repulsive BS dataset, while the log-Gaussian Cox point process (LGCP) and Cauchy model are reasonable models for clustering BS dataset. Besides, in order to dynamically analyze the coverage problem affected by adding new BSs, a cell boundary constructed by an irregular circle is introduced under an equal SIR constraint, and a BS placement scheme is proposed to place new BSs at the points of minimum interference. Numerical results show that the coverage probability may increase after adding BSs in the target area of heterogeneous network by using the proposed scheme. However, as the density of femto BS reaches a certain value, its coverage may remain unchanged even after adding more femto BSs. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…However, for K‐tier heterogeneous networks (

K > 1

Section: Introductionmentioning

confidence: 99%

Characterization of base station deployment distribution and coverage in heterogeneous networks

Zhang

Liang²,

Zheng

et al. 2021

IET Communications

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show abstract

“…Similar to VLC, ultra dense RF network is also a candidate technology in future communication system. In [13], the author focused on using Poisson clustered process (PCP) to model ultra-dense 5G heterogeneous cellular networks which include macrocells, picocells and femtocells. In [14], it analyzed the ergodic throughput of the network where small base stations (SBSs) had limited backhaul capacity to accomplish flexible coverage with limited backhaul.…”

Section: Introductionmentioning

confidence: 99%

QoE Probability Coverage Model of Indoor Visible Light Communication Network

Bao

Zhang

et al. 2020

IEEE Access

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As a candidate wireless communication technology in future, visible light communication (VLC) not only provides the green illumination, but also transmits data at high speed without occupying the existing radio frequency (RF) spectrum resources, hence it can offload the data traffic from the crowded RF network. However, achieving satisfying traffic service with probability almost approaching one inside an indoor scenario is not an effortless task in VLC networks. Several factors such as transmitted power, number of user equipments (UEs), and multiple access schemes affect the coverage probability. In this paper, we utilize the user quality of experience (QoE) as the system performance metric, and the QoE probability coverage model is proposed which the LED coverage area projecting on the ground, we attempt to achieve a satisfying QoE with a certain probability on UEs. We investigate how the factors including non-orthogonal multiple access (NOMA) scheme, user pairing scheme, UE density, power allocation methods etc. affect the reliable QoE probability coverage area which contributes to a VLC network deployment, multiple access protocols and handover schemes. INDEX TERMS Visible light communication (VLC), non-orthogonal multiple access (NOMA), coverage probability, quality of experience (QoE).

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Optimization of 5G base station coverage based on self-adaptive mutation genetic algorithm

Li,

Pang,

Fan

2024

Computer Communications

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Research on Coverage Probability in Ultra-Dense 5G Heterogeneous Cellular Networks Based on Poisson Clustered Process

Cited by 4 publications

References 24 publications

Characterization of base station deployment distribution and coverage in heterogeneous networks

Characterization of base station deployment distribution and coverage in heterogeneous networks

QoE Probability Coverage Model of Indoor Visible Light Communication Network

Optimization of 5G base station coverage based on self-adaptive mutation genetic algorithm

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