6G統合感知・ネットワーキング技術が低高度経済のカーボンニュートラルを実現：時間-エネルギー-炭素結合に基づくeVTOLワイヤレス充電の動的スリープ戦略

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🔬研究者:6G通信とeVTOL充電を統合した時間-エネルギー-炭素結合モデルとGNN-PSO解法は、都市航空モビリティのエネルギー最適化研究に新たな視点を提供する。

🏢実務担当者:eVTOL運航事業者や通信インフラ企業にとって、基地局スリープとワイヤレス充電を組み合わせた省エネ設計の定量的根拠となり得る。

🏛政策担当者:低高度経済の炭素削減ポテンシャルを評価する際のパラメータと不確実性範囲を提供し、都市航空政策の環境影響評価に活用可能。

In response to the bottleneck issues of energy consumption and carbon emissions caused by the explosive growth of the low-altitude economy, we break away from the traditional single-machine energy-saving research paradigm and innovatively reconfigure the sixth-generation mobile communication (6G) perception-integration base station into a “power-information” dual-mode supply node that can enter a dormant state. The time-energy-carbon ternary coupling model (TEC-6G) was constructed, and the collaborative trade-off mechanism of the base station sleep ratio, the pointing angle of the microwave energy beam and the quality of service (QoS) of the eVTOL task was quantified for the first time. Based on the real geographical topology of 5G-A base stations in the Yangtze River Delta region and the dataset of 12,000 eVTOL flight paths. A 3.5 GHz phased array wireless energy transmission link was built on the MATLAB platform, specifically designed for opportunistic hovering-stage trickle charging and emergency power supplementation during eVTOL mission profiles, rather than sustained cruising power delivery. By integrating the measured millimeter-wave channel impulse responses, a two-stage solution framework of graph neural network-Particle swarm hybrid (GNN-PSO) was designed. Experiments show that under the strict constraint of task delay loss ≤ 2 %, 38% of the base stations in the entire network can enter the intelligent sleep state. The opportunistic wireless charging reduces the average grid electricity consumption of eVTOL per flight by 27.4% under idealized line-of-sight conditions (equivalent to 0.92 kg carbon reduction at the theoretical upper bound), achieved through 8–15 minute hovering windows at designated vertiports where RF beam power transfer supplements battery reserves. Under practical deployment assumptions-accounting for 3 dB cable/feed loss, 2 dB impedance mismatch, 40% effective aperture utilization due to eVTOL fuselage curvature and attitude variation, and a regulatory EIRP ceiling of 47 dBm (3 dB below the theoretical 50 dBm limit for the 3.5 GHz band in urban China)-the net DC power drops to 0.68 kW at 10 m, yielding a conservative 11.2% grid electricity reduction (0.38 kg CO 2 e per flight). The 27.4% figure is retained as the Pareto-optimal theoretical upper bound for algorithm benchmarking. The system-level energy utilization rate has jumped from the benchmark 31.2% to 48.6%. Under an annual operation scale of 100,000 flights, the cumulative carbon reduction of 92 tCO 2 e is equivalent to the annual sequestration of 4,200 mature broadleaf trees (22 kg CO 2 e/tree/year, IPCC central estimate), with a conservative uncertainty range of [3,100, 6,100] trees accounting for species and climate variability. The research results provide deployable parametric decision-making tools and a phased carbon peak roadmap for 2025–2030 for the green operation of the low-altitude economy.

• openalex https://doi.org/10.1371/journal.pone.0347398first seen 2026-09-18 04:41:53