Tackling Interference in HAPS Networks via Angular-Aware Clustering and RSMA

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Main Authors: Shamsabadi, Afsoon Alidadi, Yadav, Animesh, Yanikomeroglu, Halim
Format: Preprint
Published: 2026
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author Shamsabadi, Afsoon Alidadi
Yadav, Animesh
Yanikomeroglu, Halim
author_facet Shamsabadi, Afsoon Alidadi
Yadav, Animesh
Yanikomeroglu, Halim
contents High Altitude Platform Stations (HAPS) have emerged as a promising enabler for next-generation wireless networks, offering ubiquitous connectivity to ground users. Operating either in standalone mode or in integration with terrestrial networks, HAPS can significantly enhance both coverage and capacity due to their strategic placement in the stratosphere. However, interference management in HAPS-empowered networks requires special attention due to the unique propagation characteristics of HAPS links. In particular, the strong line-of-sight (LoS) conditions between HAPS and ground users result in limited channel variability, thereby intensifying inter-user interference. In this work, we consider a single HAPS serving multiple ground users through multiple beams over a limited number of orthogonal resource blocks (RBs). To address the resulting interference, we propose a novel angular-aware user clustering and interference-aware RB allocation framework that strategically clusters users, designs beams to serve each cluster, and allocates RBs to users across clusters. To further mitigate intra-RB interference, a rate-splitting multiple access (RSMA) scheme is incorporated. Simulation results demonstrate that the proposed clustering and RSMA-based approach significantly outperforms baseline schemes in terms of achievable per-user spectral efficiency.
format Preprint
id arxiv_https___arxiv_org_abs_2605_29813
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Tackling Interference in HAPS Networks via Angular-Aware Clustering and RSMA
Shamsabadi, Afsoon Alidadi
Yadav, Animesh
Yanikomeroglu, Halim
Information Theory
Systems and Control
High Altitude Platform Stations (HAPS) have emerged as a promising enabler for next-generation wireless networks, offering ubiquitous connectivity to ground users. Operating either in standalone mode or in integration with terrestrial networks, HAPS can significantly enhance both coverage and capacity due to their strategic placement in the stratosphere. However, interference management in HAPS-empowered networks requires special attention due to the unique propagation characteristics of HAPS links. In particular, the strong line-of-sight (LoS) conditions between HAPS and ground users result in limited channel variability, thereby intensifying inter-user interference. In this work, we consider a single HAPS serving multiple ground users through multiple beams over a limited number of orthogonal resource blocks (RBs). To address the resulting interference, we propose a novel angular-aware user clustering and interference-aware RB allocation framework that strategically clusters users, designs beams to serve each cluster, and allocates RBs to users across clusters. To further mitigate intra-RB interference, a rate-splitting multiple access (RSMA) scheme is incorporated. Simulation results demonstrate that the proposed clustering and RSMA-based approach significantly outperforms baseline schemes in terms of achievable per-user spectral efficiency.
title Tackling Interference in HAPS Networks via Angular-Aware Clustering and RSMA
topic Information Theory
Systems and Control
url https://arxiv.org/abs/2605.29813