Uncrewed aerial vehicle (UAV)-assisted networks provide a versatile paradigm for on-demand connectivity. However, in multi-operator aerial networks (MOANs), the joint optimization of cooperative resource sharing and 3D trajectory control to maintain information freshness is a complex combinatorial problem, which can be...
Atefeh Hajijamali Arani, M. Shirvanimoghaddam, A. Mehbodniya et al.· 0 citations
This paper investigates the performance of high-altitude platform station (HAPS)-assisted communication systems employing either reconfigurable intelligent surfaces (RIS) or relay stations (RS) under non-orthogonal multiple access (NOMA) scheme. Practical system impairments, including hardware impairments (HWI) and imp...
Bilal Karaman, Faicel Khennoufa, Ilhan Basturk et al.· 0 citations
Simulation results demonstrate that the proposed GNN-enhanced RL approach significantly improves network performance in terms of latency and service reliability, thereby enabling efficient and robust operation under emergency conditions.
Md. Thouhidur Rahman, Mustapha Benjillali, H. Yanikomeroglu et al.· 0 citations
A secure adaptive framework for authentication in multi-zone networks (SAFA-MZ), a causal meta-learning framework for distributed PLA (DPLA) in NTNs, and a model-agnostic meta-learning strategy with invariant risk minimization (IRM) and causal consistency regularization for fast adaptation to unseen NTN environments wi...
Parsa Rajabi, M. Abedi, N. Mokari et al.· 0 citations
The proposed Traffic Demand Spatio-Temporal Graph Transformer (TD-STGT) is a graph neural forecasting framework for predicting changes in wireless mobile traffic demand across fine geographic grids that provides a practical tool for identifying areas with increasing demand pressure and prioritizing future mobile-networ...
While reconfigurable intelligent surfaces (RISs) are among the key enablers for next-generation (NextG) wireless networks, efficient feedback reporting for joint base station (BS) precoding and passive RIS configuration remains a major challenge due to the associated signaling overhead. By extending the standard-compli...
Ali Fuat Sahin, Sefa Kayraklik, Ali Gorcin et al.· 0 citations
Simulation results demonstrate that the proposed Hierarchical LLM-driven control framework significantly reduces collision rates and improves aggregate system throughput compared to existing baselines.
Zijiang Yan, Hao Zhou, W. Jaafar et al.· arXiv.org· 0 citations
Simulation results show that relaying information via FD-HAPS significantly improves the capacity of cell-edge UEs compared with a terrestrial-only network.
A hybrid LEO-terrestrial architecture that integrates Software-Defined Networking ground station clusters with repeater-assisted reception and a structured fallback mechanism is proposed and results highlight the effectiveness of the proposed framework in enabling adaptive and delay-efficient control in next-generation...
Wafa Hasanain, Pablo G. Madoery, H. Yanikomeroglu et al.· IEEE Open Journal of the Com...· 0 citations
Simulation results reveal that both setup penalties and controller activation thresholds are critical determinants of system behavior across both optimization-based and heuristic schemes, highlighting the necessity of jointly optimizing reassignment policies and controller activation strategies to support robust, low-l...
Wafa Hasanain, Pablo G. Madoery, Halim Yanikomeroglu et al.· IEEE Open Journal of the Com...· 0 citations
Simulation results demonstrate that the proposed GNN-RSMA interference management algorithm outperforms conventional multiple access schemes while achieving fairness and worst-user performance comparable to successive convex approximation (SCA)-based optimization at only a fraction of its computational cost.
Afsoon Alidadi Shamsabadi, Animesh Yadav, H. Yanikomeroglu· 0 citations
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