Research Briefing
cs.IT 2605.29813v1 worth_reading

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

Afsoon Alidadi Shamsabadi, Animesh Yadav, Halim Yanikomeroglu

Published 2026-05-28 11:58:01 相关性 1.0000 价值 0.7400 cs.IT eess.SY
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摘要

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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.

相关性判断

high
相关方向
wireless_communications interference_management resource_allocation rsma
判断依据

Directly about interference management, beamforming, resource allocation, and RSMA for HAPS wireless networks; clearly within communications and information theory-adjacent review scope.

价值判断

High relevance to cs.IT wireless communications with a concrete interference-management framework for HAPS downlink resource reuse. Structure evidence indicates multiple technical components: angular clustering, beam steering, RB assignment, RSMA, and max-min SCA optimization. Claims are supported only by simulation and appear incremental over known clustering, RB allocation, and RSMA methods, so deep review is useful but not urgent.

核心问题与主要方法

核心问题

Interference management for a single-HAPS downlink serving many ground users with limited orthogonal resource blocks.

场景：Multi-beam HAPS downlink with LoS-dominated large-scale channels, UPA beamforming, angular user clustering, RB reuse across clusters, and RSMA per RB.

主要方法

Angular feature embedding [theta, cos(phi), sin(phi)] avoids azimuth wrap-around and makes clustering depend on the HAPS-view angular geometry that drives antenna gains. Capacity-constrained K-means with L = ceil(U/R) caps each cluster at R users, enabling orthogonal RB allocation within clusters and pushing unavoidable reuse to inter-cluster pairs. Worst-UE beam steering chooses cluster boresights by maximizing the minimum effective antenna gain in the cluster, targeting fairness rather than centroid alignment. Interference-aware RB assignment chooses unused-in-cluster RBs that minimize accumulated interference from already scheduled users on the candidate RB. Per-RB RSMA converts co-RB inter-cluster interference into common/private stream allocation, with common streams decoded by all co-scheduled users and private streams decoded after SIC. Max-min fair power/rate allocation is handled through SCA with epigraph and slack variables, iteratively solving convex approximations.

关键贡献与后续阅读

关键贡献

Formulates a HAPS downlink interference-management problem where limited RBs force reuse across angularly separated user clusters under LoS-dominated HAPS-UE propagation. Introduces an angular-aware clustering and RB allocation framework using capacity-constrained K-means over [theta, cos(phi), sin(phi)] with cluster size bounded by the number of RBs. Proposes worst-UE-based beam steering for each cluster, targeting the minimum effective antenna gain rather than steering only to an angular centroid. Adds an interference-aware RB allocation rule that preserves intra-cluster orthogonality and attempts to reduce inter-cluster leakage when RBs are reused. Integrates per-RB RSMA for users sharing the same RB across clusters, including common/private message splitting, SIC-based decoding, and common-rate allocation. Develops a max-min fair RSMA power/rate allocation formulation and an SCA-based iterative solution using convex subproblems.

研究启发

How sensitive are the gains to imperfect angular/location information, mobility, or channel-state uncertainty beyond the large-scale LoS model? What is the computational cost and runtime of the capacity-constrained K-means plus SCA/CVX power allocation for larger U, R, and L? Are there comparisons against stronger baselines such as joint beam/RB optimization, NOMA variants, or non-RSMA max-min power control under the same clustering? How robust is the observed optimum array size tradeoff beyond the simulated 2 km radius, 20 km altitude, and sub-6 GHz carrier setting?

限制与不确定性

Evaluation is simulation-based and may depend strongly on single-HAPS, LoS, sub-6 GHz, and single-antenna UE assumptions. Optimization uses iterative SCA and is explicitly suboptimal, which may limit practical or theoretical strength. Novelty may be mostly system integration rather than a fundamentally new information-theoretic result.

原文信息

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参考文献 15
最近更新 2026-05-30 13:21
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Abstract

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

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 use
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  1. [1] A. Alidadi Shamsabadi, A. Yadav, O. Abbasi, and H. Yanikomeroglu (2022-Dec.) Handling interference in integrated HAPS-terrestrial networks through radio resource management . IEEE Wireless Commun. Lett. 11 ( 12 ), pp. 2585–2589 . External Links: Document Cited by: §I .
  2. [2] A. Alidadi Shamsabadi, A. Yadav, and H. Yanikomeroglu (2024) Impact of objective function on spectral efficiency in integrated HAPS-terrestrial networks . In 2024 IEEE International Conference on Communications Workshops (ICC Workshops) , Vol. , pp. 1895–1900 . Cited by: §I .
  3. [3] P. S. Bradley, K. P. Bennett, and A. Demiriz (2000) Constrained k-means clustering . Microsoft Research, Redmond 20 ( 0 ), pp. 0 . Cited by: §III .
  4. [4] M. Huang, F. Gong, J. Zhao, Z. Yin, X. Li, and Q. Pham (2025-Sept.) Secure Precoding Design for RSMA Transmission in HAP-Assisted Non-Terrestrial Networks . IEEE Trans. Veh. Technol. 74 ( 9 ), pp. 14876–14881 . External Links: Document Cited by: §I .
  5. [5] International Telecommunication Union Radiocommunication Sector (ITU-R) (2017) Modelling and Simulation of IMT Networks and Systems for Use in Sharing and Compatibility Studies . Recommendation Technical Report Recommendation ITU-R M.2101-0 , International Telecommunication Union , Geneva, Switzerland . Cited by: §II , §III .
  6. [6] T. Ishikawa, K. Tashiro, K. Maki, and K. Hoshino (2025) Interference Management with Nullforming and Resource Allocation for Coverage Expansion in Integrated HAPS–Terrestrial Networks . In 2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring) , Vol. , pp. 1–7 . External Links: Document Cited by: §I .
  7. [7] W. Jiang, B. Han, M. A. Habibi, and H. D. Schotten (2021) The Road Towards 6G: A Comprehensive Survey . IEEE Open J. Commun. Soc. 2 ( ), pp. 334–366 . External Links: Document Cited by: §I .
  8. [8] M. Kirik, A. Alkana’Neh, L. Afeef, and H. Arslan (2025) Efficient Interference Management Design for NTN/TN Co-Existence in HAP-Based 6G Networks . IEEE open j. Commun. Soc. 6 ( ), pp. 5434–5449 . External Links: Document Cited by: §I .
  9. [9] Y. Mao, O. Dizdar, B. Clerckx, R. Schober, P. Popovski, and H. V. Poor (2022-Fourthquarter) Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends . IEEE Commun. Surveys Tuts. 24 ( 4 ), pp. 2073–2126 . External Links: Document Cited by: §I .
  10. [10] M. M. Şahin, O. Dizdar, B. Clerckx, and H. Arslan (2025-Jul.) OFDM-RSMA: Robust Transmission Under Inter-Carrier Interference . IEEE Trans. Commun. 73 ( 7 ), pp. 4602–4615 . External Links: Document Cited by: §I .
  11. [11] A. A. Shamsabadi, A. Yadav, and H. Yanikomeroglu (2024-05) Enhancing next-generation urban connectivity: is the integrated HAPS-terrestrial network a solution? . IEEE Commun. Lett. 28 ( 5 ), pp. 1112–1116 . Cited by: §I .
  12. [12] A. A. Shamsabadi, A. Yadav, and H. Yanikomeroglu (2025-Jun.) Interference management strategies for HAPS-enabled vHetNets in urban deployments . IEEE Commun. Stand. Mag. 9 ( 2 ), pp. 56–62 . External Links: Document Cited by: §I .
  13. [13] A. A. Shamsabadi, A. Yadav, and H. Yanikomeroglu (2026) Two-Level Distributed Interference Management for Large-Scale HAPS-Empowered vHetNets . External Links: 2507.08299 , Link Cited by: §I .
  14. [14] (2023-12) World Radiocommunication Conference 2023 (WRC-23) Final Acts . Technical report International Telecommunication Union (ITU) . External Links: Link Cited by: TABLE I , TABLE I , TABLE I , TABLE I .
  15. [15] S. Zhang, Y. Mao, B. Clerckx, and T. Q. S. Quek (2025-Jan.) Interference Management in Space-Air-Ground Integrated Networks With Fully Distributed Rate-Splitting Multiple Access . IEEE Trans. Wireless Commun. 24 ( 1 ), pp. 149–164 . External Links: Document Cited by: §I .