activity
20192026
most citedDeep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics

65 citations · 237 across the 24 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

eess.SY2023

Feasibility Conditions for Mobile LiFi

Shuai Ma, Haihong Sheng, Junchang Sun +6

Light fidelity (LiFi) is a potential key technology for future 6G networks. However, its feasibility of supporting mobile communications has not been fundamentally discussed. In th…

cs.IT2023★ 29 cited

Robust Power Allocation for Integrated Visible Light Positioning and Communication Networks

Shuai Ma, Ruixin Yang, Chun Du +4

Integrated visible light positioning and communication (VLPC), capable of combining advantages of visible light communications (VLC) and visible light positioning (VLP), is a promi…

eess.SP2023

Joint Beamforming Design for RIS-enabled Integrated Positioning and Communication in Millimeter Wave Systems

Junchang Sun, Shuai Ma, Shiyin Li

Integrated positioning and communication (IPAC) system and reconfigurable intelligent surface (RIS) are both considered to be key technologies for future wireless networks. Therefo…

eess.SY2023★ 1 cited

Robust Power Allocation for UAV-aided ISAC Systems with Uncertain Location Sensing Errors

Junchang Sun, Shuai Ma, Ruixin Yang +2

Unmanned aerial vehicle (UAV) holds immense potential in integrated sensing and communication (ISAC) systems for the Internet of Things (IoT). In this paper, we propose a UAV-aided…

eess.SP2023★ 1 cited

Features Disentangled Semantic Broadcast Communication Networks

Shuai Ma, Weining Qiao, Youlong Wu +6

Single-user semantic communications have attracted extensive research recently, but multi-user semantic broadcast communication (BC) is still in its infancy. In this paper, we prop…

eess.SP2023

Task-oriented Explainable Semantic Communications

Shuai Ma, Weining Qiao, Youlong Wu +6

Semantic communications utilize the transceiver computing resources to alleviate scarce transmission resources, such as bandwidth and energy. Although the conventional deep learnin…