5G-NTN衛星通信を用いたマンド及びアンマンド回転翼航空機の実現に向けて
5G-NTN衛星通信を用いることで、回転翼航空機におけるデータレートの向上と高可用性の実現が期待できる。ただし、回転翼の干渉などの課題に対処する必要がある。
Enabling 5G-NTN Satellite Communications for Manned and Unmanned Rotary Wing Aircraft
This work evaluates the use of broadband 5G-NTN satellite communications in rotary wing aircraft, including UAVs, UAMs, and helicopters, to enable new functionalities and improve existing ones that are limited by terrestrial networks.
LEO 위성 통신을 위한 빔 호핑 기반 결합 빔포밍 및 조명 패턴 설계
LEO 위성 통신에서 빔 호핑 기술과 하이브리드 빔포밍 기술을 결합하여 전체 빔 위치의 합 전송률을 최대화하는 방법을 제안한다.
LEOサテライト通信のためのビーム切り替えと照明パターン設計の統合
ハイブリッドビームフォーミングを用いてビーム切り替え期間全体の合計レートを最大化するための、ビームフォーミングと照明パターンの統合設計。
Flexible Radio Resource Management for High-Throughput Satellite Systems through Joint Load and Capacity Scheduling
This work presents a novel user-centric resource management framework that balances beam load through a two-way effort on both the supply side (flexible antenna) and the demand side (flexible beam-user mapping), in order to adapt to non-uniform traffic demand in high-throughput satellite systems.
Comprehensive Analysis of Coverage Performance in Low-Earth Orbit Satellite Networks Considering Distance-Dependent Shadowing Effects
The core message of this article is to provide a comprehensive analysis of the coverage performance of low-Earth orbit (LEO) satellite networks by incorporating distance-dependent shadowing effects into the network modeling and performance evaluation.
LEOサテライトネットワークにおける可動アンテナアレイを用いた動的ビームカバレッジの最適化
可動アンテナアレイを用いることで、LEOサテライトの時間変動するカバレッジエリアと干渉エリアに対して、アンテナ位置と重みの最適化を行うことで、干渉を効果的に抑制しつつ所望のカバレッジ性能を達成できる。
Optimizing Movable Antenna Arrays for Dynamic Beam Coverage and Interference Mitigation in LEO Satellite Communications
By jointly optimizing the positions and weights of movable antennas in a satellite-mounted array, the beam coverage can be dynamically adjusted to minimize interference leakage while ensuring the minimum beamforming gain over the desired coverage area.
Navigating the Coexistence of Emerging NGSO Satellite Constellations and Established GSO Satellite Communication Systems
Effective management of interference between rapidly expanding NGSO satellite constellations and established GSO satellite systems is crucial for ensuring reliable and continuous satellite communication services globally.
Optimizing Satellite Uplink Communications via Collaborative Beamforming and Multi-objective Deep Reinforcement Learning
A distributed collaborative beamforming-based uplink communication paradigm is proposed to enable and extend direct uplink communications between energy-sensitive terminals and low-Earth orbit satellites. A multi-objective optimization problem is formulated and solved using an evolutionary multi-objective deep reinforcement learning algorithm to obtain desirable policies that balance uplink achievable rate, energy consumption, and satellite switching frequency.
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