arXiv subjects

German Svistunov

Publications and source records attributed to German Svistunov.

4 recordsLinked to original sources

arXiv2026

Tethered UAVs for Dense Urban Connectivity

This paper evaluates the downlink performance of 5G non-terrestrial networks (NTNs) realized via tethered unmanned aerial vehicle (TUAV)-mounted base stations, and compares it against conventional 5G terrestrial networks (TNs) in a realistic dense urban scenario. Unlike battery-limited UAVs, TUAVs are connected to ground stations via lightweight cables, enabling stable positioning and near-line-of-sight links to users without the endurance constraints of untethered platforms. Using a 3GPP-compliant multi-cell hexagonal layout with 19 sites and 57 sectors, we model TUAV altitudes ranging from 100 to 1000\,m and evaluate the average effective signal-to-interference-plus-noise ratio (SINR) and user throughput via system-level simulations. Results show that TUAV-based NTN deployments can significantly outperform terrestrial 5G in per-user throughput, with the largest gains observed for cell-edge and low-SINR users, provided the TUAV altitude is properly chosen to balance improved line-of-sight probability against increased propagation loss and interference at higher altitudes.

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arXiv2026

Wind-Resilient Trajectory Optimization for UAV-BS Networks: TD3 for Continuous Service Availability

Unmanned aerial vehicle (UAV)-mounted base stations are highly susceptible to wind disturbances such as gusts and turbulence, which induce positional drift and degrade communication link quality, particularly in emergency scenarios. To address this challenge, we propose a DRL-based framework for wind-resilient trajectory adjustment and positioning based on the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm. The method models wind as a stochastic kinematic perturbation, avoiding complex aerodynamic modeling, thereby enabling the TD3 agent to learn adaptive control policies that maintain optimal coverage footprints. By prioritizing user-centric performance metrics under turbulent conditions, the proposed architecture ensures continuous service availability despite external disruptions. Simulation results demonstrate that the TD3-based approach effectively compensates for wind-induced displacements and outperforms benchmark methods, including Proximal Policy Optimization (PPO), in terms of throughput stability and robustness in windy environments.

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arXiv2026

PPO-Based Dynamic Positioning of HAPS-BS in Wind-Disturbed Stratospheric Maritime Networks

High-Altitude Platform Stations (HAPS) offer a promising solution for wide-area wireless coverage in maritime regions lacking terrestrial infrastructure. However, maintaining reliable performance is challenging due to dynamic ship mobility and atmospheric disturbances, particularly stratospheric wind effects on HAPS positioning. This paper proposes a deep reinforcement learning (DRL)-based framework for dynamic positioning of wind-disturbed HAPS-mounted base stations in maritime networks. A centralized DRL agent deployed on a coordinator HAPS controls multiple serving HAPS using radio measurements and network feedback, capturing realistic channel conditions and user mobility. A Proximal Policy Optimization (PPO) algorithm is employed to learn robust positioning policies that enhance coverage stability and system throughput under wind disturbances. Simulation results show that the proposed approach effectively mitigates wind-induced positioning deviations while ensuring reliable wide-area connectivity for maritime users.

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arXiv2026

Performance Analysis of Tri-Sector Reflector Antennas for HAPS-Based Cellular Networks

The increasing demand for ubiquitous, highcapacity mobile connectivity has driven cellular systems to explore beyond-terrestrial deployments. In this paper, we present a system-level performance evaluation of fifth-generation (5G) non-terrestrial network (NTN) enabled by high-altitude platform station (HAPS)-based base stations (BSs) equipped with tri-sectoral reflector antennas against fourth-generation (4G) terrestrial network (TN) and 5G TN deployments in a multicell dense urban environment. Using the simulation results comprising the average effective downlink signal-to-interference-plus-noise ratio (SINR) and the average user throughput, along with the subsequent interference analysis, we demonstrate that the reflector-based HAPS architecture is primarily constrained by inter-cell interference, while the combination of reflector configuration and deployment altitude represents a key design parameter.

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