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most citedCan We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?

17 citations · 21 across the 9 of their papers we have counts for

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cs.NI2024

Exploiting NOMA Transmissions in Multi-UAV-assisted Wireless Networks: From Aerial-RIS to Mode-switching UAVs

Songhan Zhao, Shimin Gong, Bo Gu +4

In this paper, we consider an aerial reconfigurable intelligent surface (ARIS)-assisted wireless network, where multiple unmanned aerial vehicles (UAVs) collect data from ground us…

cs.IT2024

Lyapunov-guided Deep Reinforcement Learning for Semantic-aware AoI Minimization in UAV-assisted Wireless Networks

Yusi Long, Shimin Gong, Sumei Sun +3

This paper investigates an unmanned aerial vehicle (UAV)-assisted semantic network where the ground users (GUs) periodically capture and upload the sensing information to a base st…

cs.LG2024★ 17 cited

Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?

Jiajie Li, Bo Gu, Shimin Gong +2

Mobile crowdsensing (MCS) has emerged as a prominent trend across various domains. However, ensuring the quality of the sensing data submitted by mobile users (MUs) remains a compl…

cs.IT2024

AoI-aware Sensing Scheduling and Trajectory Optimization for Multi-UAV-assisted Wireless Backscatter Networks

Yusi Long, Songhan Zhao, Shimin Gong +4

This paper considers multiple unmanned aerial vehicles (UAVs) to assist sensing data transmissions from the ground users (GUs) to a remote base station (BS). Each UAV collects sens…

cs.IT2024

Primary Rate Maximization in Movable Antennas Empowered Symbiotic Radio Communications

Bin Lyu, Hao Liu, Wenqing Hong +2

In this paper, we propose a movable antenna (MA) empowered scheme for symbiotic radio (SR) communication systems. Specifically, multiple antennas at the primary transmitter (PT) ca…