Coverage Analysis of Large-Scale HAPS Networks Using Directional Beams

High-altitude platform stations (HAPS) are pivotal in next-generation wireless networks for reducing core network burdens and enabling cost-effective communication. In this article, we propose a spherical stochastic geometry-based analytical framework for the coverage performance evaluation of HAPS networks. Considering the significant influence of directional antenna gain on interference evaluation, we analyze coverage performance under a general channel model that accommodates various beam patterns. Analytical expressions of the uplink and downlink coverage probabilities in cellular and cell-free networks are provided, respectively, and their accuracy are verified by the Monte Carlo simulation. Furthermore, the influences of network-level and physical-level parameters on coverage probability are studied. Finally, several factors that align with the analytical framework of this article are discussed.

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Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-03-17
DOI
https://doi.org/10.1109/taes.2025.3551282
Citations
6
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
4.38
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article

Coverage Analysis of Large-Scale HAPS Networks Using Directional Beams

Zhengying Lou, Mohamed‐Slim Alouini, Baha Eddine Youcef Belmekki
6 citations
IEEE Transactions on Aerospace and Electronic Systems
Advanced MIMO Systems Optimization
4.38
article

Coverage Analysis of Large-Scale HAPS Networks Using Directional Beams

Zhengying Lou, Mohamed‐Slim Alouini, Baha Eddine Youcef Belmekki
article en
6 citations

Abstract

High-altitude platform stations (HAPS) are pivotal in next-generation wireless networks for reducing core network burdens and enabling cost-effective communication. In this article, we propose a spherical stochastic geometry-based analytical framework for the coverage performance evaluation of HAPS networks. Considering the significant influence of directional antenna gain on interference evaluation, we analyze coverage performance under a general channel model that accommodates various beam patterns. Analytical expressions of the uplink and downlink coverage probabilities in cellular and cell-free networks are provided, respectively, and their accuracy are verified by the Monte Carlo simulation. Furthermore, the influences of network-level and physical-level parameters on coverage probability are studied. Finally, several factors that align with the analytical framework of this article are discussed.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(4)
Heriot-Watt University (GB), King Abdullah University of Science and Technology (SA)
Openalex Percentile: Top 6%
Advanced MIMO Systems Optimization
4.38
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