activity
20192021
most citedikd-Tree: An Incremental K-D Tree for Robotic Applications

69 citations · 155 across the 24 of their papers we have counts for

collaborators
Showing eess.SPShow all

7 papers · 1 filter

eess.SP20203 cited

Beamforming Design for Multiuser Transmission Through Reconfigurable Intelligent Surface

Zhaohui Yang, Wei Xu, Chongwen Huang +2

This paper investigates the problem of resource allocation for multiuser communication networks with a reconfigurable intelligent surface (RIS)-assisted wireless transmitter. In th…

eess.SP20208 cited

Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing

Liang Wang, Kezhi Wang, Cunhua Pan +3

An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is proposed, where several UAVs having different trajectories fly over the target area and support the…

eess.SP2020

AnciNet: An Efficient Deep Learning Approach for Feedback Compression of Estimated CSI in Massive MIMO Systems

Yuyao Sun, Wei Xu, Lisheng Fan +2

Accurate channel state information (CSI) feedback plays a vital role in improving the performance gain of massive multiple-input multiple-output (m-MIMO) systems, where the dilemma…

eess.SP2020

Joint Transmit Power and Placement Optimization for URLLC-enabled UAV Relay Systems

Hong Ren, Cunhua Pan, Kezhi Wang +3

This letter considers an unmanned aerial vehicle (UAV)-enabled relay communication system for delivering latency-critical messages with ultra-high reliability, where the relay is o…

eess.SP2020

Analysis and Optimization for RIS-Aided Multi-Pair Communications Relying on Statistical CSI

Zhangjie Peng, Tianshu Li, Cunhua Pan +3

In this paper, we investigate a reconfigurable intelligent surface (RIS) aided multi-pair communication system, in which multi-pair users exchange information via an RIS. We derive…

eess.SP2020

AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment -- Challenges and Solutions

Feibo Jiang, Kezhi Wang, Li Dong +3

By taking full advantage of Computing, Communication and Caching (3C) resources at the network edge, Mobile Edge Computing (MEC) is envisioned as one of the key enablers for the ne…