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Gaole Fan

dblp:439/2567 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0001-8252-5892ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Cellular and mobile networks · 51% Wireless sensing and localization · 26% Physical-layer communications · 15%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks
6g
1.012026
Mastering Beam Alignment for Satellite WPT: A Predictive ISAC Framework for Sustainable 6G Connectivity · IEEE J. Sel. Areas Commun. 2026
Cellular and mobile networks
integrated sensing and communication
1.012026
Mastering Beam Alignment for Satellite WPT: A Predictive ISAC Framework for Sustainable 6G Connectivity · IEEE J. Sel. Areas Commun. 2026
Physical-layer communications › beamforming
adaptive beamforming
0.312026
Mastering Beam Alignment for Satellite WPT: A Predictive ISAC Framework for Sustainable 6G Connectivity · IEEE J. Sel. Areas Commun. 2026
Physical-layer communications
beamforming
0.312026
Mastering Beam Alignment for Satellite WPT: A Predictive ISAC Framework for Sustainable 6G Connectivity · IEEE J. Sel. Areas Commun. 2026

Methods — techniques the papers use, named apart from their topics

closed-loop ISAC · 1.0channel state information feedback · 1.0
YearPublicationVenuePosition
2026 Mastering Beam Alignment for Satellite WPT: A Predictive ISAC Framework for Sustainable 6G Connectivity
abstract
To tackle the distinctive challenges of satellite mobility—challenges that exert significant impacts on both the reliability of communication links and the efficiency of wireless power transfer (WPT)—we propose a distributed satellite-fusion cell-free (SFcf) integrated sensing and communication (ISAC) architecture. Traditional adaptive beamforming, which performs reactive compensation based on estimated channel state information (CSI), faces inherent limitations in achieving robust data transmission and efficient energy delivery within such high-dynamic environments, primarily due to its intrinsic latency. To surmount this bottleneck, we put forward a novel closed-loop ISAC framework that facilitates a proactive paradigm for the joint transfer of wireless information and power. The core concept lies in estimating the physical source of channel variation—namely the satellite’s motion parameters—and utilizing these parameters to enable predictive adaptation of both communication and energy beams. In this framework, sensing-derived Doppler and time of arrival (ToA) parameters are fed back to actively pre-compensate for channel mismatch, ensuring communication signals are robust and that energy beams remain precisely focused on the moving target. Therefore, our proposed SFcf-ISAC framework is specifically designed to validate this effective synergy, enabling sustainable 6G satellite-ground connectivity through high-efficiency WPT, remote sensing and resilient high-mobility communication.
Min Jia 0001, Shiyao Meng, Jinyue Song, Gaole Fan, Yihua Liu, Qing Guo 0001
IEEE J. Sel. Areas Commun.4