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20232026
most citedMulti-objective Low-altitude IRS-assisted ISAC Optimization via Generative AI-enhanced Deep Reinforcement Learning

1 citations · 2 across the 14 of their papers we have counts for

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cs.NE2024

UAV Virtual Antenna Array Deployment for Uplink Interference Mitigation in Data Collection Networks

Hongjuan Li, Hui Kang, Geng Sun +5

Unmanned aerial vehicles (UAVs) have gained considerable attention as a platform for establishing aerial wireless networks and communications. However, the line-of-sight dominance…

eess.SY2024

Digital Twin-Assisted Space-Air-Ground Integrated Multi-Access Edge Computing for Low-Altitude Economy: An Online Decentralized Optimization Approach

Long He, Geng Sun, Zemin Sun +5

The emergence of space-air-ground integrated multi-access edge computing (SAGIMEC) networks opens a significant opportunity for the rapidly growing low altitude economy (LAE), faci…

cs.NI2024

Collaborative Ground-Space Communications via Evolutionary Multi-objective Deep Reinforcement Learning

Jiahui Li, Geng Sun, Qingqing Wu +4

In this paper, we propose a distributed collaborative beamforming (DCB)-based uplink communication paradigm for enabling ground-space direct communications. Specifically, DCB treat…

eess.SP2024

Multi-objective Optimization for Multi-UAV-assisted Mobile Edge Computing

Geng Sun, Yixian Wang, Zemin Sun +4

Recent developments in unmanned aerial vehicles (UAVs) and mobile edge computing (MEC) have provided users with flexible and resilient computing services. However, meeting the comp…

eess.SY2024

TJCCT: A Two-timescale Approach for UAV-assisted Mobile Edge Computing

Zemin Sun, Geng Sun, Qingqing Wu +6

Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is emerging as a promising paradigm to provide aerial-terrestrial computing services in close proximity to mobile…