activity
20192021
most citedEnergy-Efficient Federated Edge Learning with Joint Communication and Computation Design

9 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2021★ 6 cited

Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19

Shuhui Gong, Xiaopeng Mo, Rui Cao +3

Parking demand forecasting and behaviour analysis have received increasing attention in recent years because of their critical role in mitigating traffic congestion and understandi…

cs.IT2020★ 9 cited

Energy-Efficient Federated Edge Learning with Joint Communication and Computation Design

Xiaopeng Mo, Jie Xu

This paper studies a federated edge learning system, in which an edge server coordinates a set of edge devices to train a shared machine learning model based on their locally distr…

eess.SP2020★ 2 cited

D2D-Enabled Data Sharing for Distributed Machine Learning at Wireless Network Edge

Xiaoran Cai, Xiaopeng Mo, Junyang Chen +1

Mobile edge learning is an emerging technique that enables distributed edge devices to collaborate in training shared machine learning models by exploiting their local data samples…

cs.IT2019★ 2 cited

Online Maneuver Design for UAV-Enabled NOMA Systems via Reinforcement Learning

Yuwei Huang, Xiaopeng Mo, Jie Xu +2

This paper considers an unmanned aerial vehicle enabled-up link non-orthogonal multiple-access system, where multiple mobile users on the ground send independent messages to a unma…

eess.SP2019★ 1 cited

Radio-Map-Based Robust Positioning Optimization for UAV-Enabled Wireless Power Transfer

Xiaopeng Mo, Yuwei Huang, Jie Xu

This letter studies an unmanned aerial vehicle-enabled wireless power transfer system within a radio-map-based robust positioning design.