activity
20232026
most citedCan We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?

17 citations · 21 across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

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.MA2024★ 2 cited

Matching-Driven Deep Reinforcement Learning for Energy-Efficient Transmission Parameter Allocation in Multi-Gateway LoRa Networks

Ziqi Lin, Xu Zhang, Shimin Gong +3

Long-range (LoRa) communication technology, distinguished by its low power consumption and long communication range, is widely used in the Internet of Things. Nevertheless, the LoR…

cs.LG2024

Multi-Time Scale Service Caching and Pricing in MEC Systems with Dynamic Program Popularity

Yiming Chen, Xingyuan Hu, Bo Gu +2

In mobile edge computing systems, base stations (BSs) equipped with edge servers can provide computing services to users to reduce their task execution time. However, there is alwa…

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…