Loading [MathJax]/extensions/MathZoom.js
Pengfei Ren - IEEE Xplore Author Profile
Subscribe
ADVANCED SEARCH

Author details

< Back

Pengfei Ren

Publications
6
Citations
10
Publications by Year
20162024
Co-Authors:
Show All Co-Authors (17)
Image of author Pengfei Ren

Pengfei Ren

Affiliation

School of Cyber Science and Technology
Beihang University
Beijing, China

Publication Topics

Biography

Pengfei Ren (Graduate Student Member, IEEE) received the B.E. degree in software engineering from Xidian University, Xi’an, China, in 2023. He is currently pursuing the Ph.D. degree with the School of Cyber Science and Technology, Beihang University, Beijing, China.,His research interests include deep learning and semantic communication.(Based on document published on 28 February 2024).
Publications
6
Citations
10
Publications by Year
20162024
Co-Authors:
Show All Co-Authors (17)
Author's Published Works

Showing 1-6 of 6 results

  • Sort

Filter Results

Show

Sort By

Results

Joint Latency and Energy Consumption for Federated Learning Over NOMA-UAV Networks

Pengfei Ren;Jingjing Wang;Jianrui Chen;Mengyuan Zhang;Tianle Liu;Peng Pan

2024 7th International Conference on Information Communication and Signal Processing (ICICSP)
Year: 2024 | Conference Paper |
Federated learning (FL) attracts widespread attention due to its powerful resource aggregation capabilities and advantages in privacy protection. However, during the model training process, restricted by limited communication resources and poor channel conditions, it is challenging to achieve a large number of devices access while ensuring signal strength, which becomes a bottleneck affecting the ...Show More

Joint Latency and Energy Consumption for Federated Learning Over NOMA-UAV Networks

Pengfei Ren;Jingjing Wang;Jianrui Chen;Mengyuan Zhang;Tianle Liu;Peng Pan

Year: 2024 | Conference Paper |

Eye in the Sky: Energy Efficient Model-Based Reinforcement Learning Aided Target Tracking Using UAVs

Yi Xia;Zekai Zhang;Jingzehua Xu;Pengfei Ren;Jingjing Wang;Zhu Han

IEEE Transactions on Vehicular Technology
Year: 2024 | Volume: 73, Issue: 12 | Journal Article |
The rapid response and high energy efficiency of the unmanned aerial vehicle (UAV) are crucial prerequisites for enabling time-sensitive and long-endurance target tracking missions, such as search and rescue, area reconnaissance, and convoy monitoring. However, existing research in target tracking primarily focuses on enhancing tracking accuracy, which struggles to adapt to tasks considering stric...Show More

Eye in the Sky: Energy Efficient Model-Based Reinforcement Learning Aided Target Tracking Using UAVs

Yi Xia;Zekai Zhang;Jingzehua Xu;Pengfei Ren;Jingjing Wang;Zhu Han

Year: 2024 | Volume: 73, Issue: 12 | Journal Article |

Federated Learning Via Nonorthogonal Multiple Access for UAV-Assisted Internet of Things

Pengfei Ren;Jingjing Wang;Ziheng Tong;Jianrui Chen;Peng Pan;Chunxiao Jiang

IEEE Internet of Things Journal
Year: 2024 | Volume: 11, Issue: 17 | Journal Article |
Federated learning (FL), utilizing data from the edge devices (EDs) while protecting user privacy has gained much attention. Its efficacy is substantially influenced by both the quantity of connected devices and the quality of wireless communications. Network congestion, resulting from multiple access and signal attenuation caused by physical obstacles may severely impact the convergence of the FL...Show More

Federated Learning Via Nonorthogonal Multiple Access for UAV-Assisted Internet of Things

Pengfei Ren;Jingjing Wang;Ziheng Tong;Jianrui Chen;Peng Pan;Chunxiao Jiang

Year: 2024 | Volume: 11, Issue: 17 | Journal Article |

Dense Multiagent Reinforcement Learning Aided Multi-UAV Information Coverage for Vehicular Networks

Hang Fu;Jingjing Wang;Jianrui Chen;Pengfei Ren;Zheng Zhang;Guodong Zhao

IEEE Internet of Things Journal
Year: 2024 | Volume: 11, Issue: 12 | Journal Article |
Cited by: Papers (4)
With the rapid development of wireless communication networks, UAVs serving as base stations are increasingly being applied in various scenarios which not only include edge computation and task offloading, but also involve emergency communication, vehicular network enhancement, etc. In order to enhance the utility of UAV base stations’ allocation and deployment, a series of algorithms have been pr...Show More

Dense Multiagent Reinforcement Learning Aided Multi-UAV Information Coverage for Vehicular Networks

Hang Fu;Jingjing Wang;Jianrui Chen;Pengfei Ren;Zheng Zhang;Guodong Zhao

Year: 2024 | Volume: 11, Issue: 12 | Journal Article |

Distributed Cooperative Learning Over Networks via Fuzzy Logic Systems: Performance Analysis and Comparison

Pengfei Ren;Weisheng Chen;Hao Dai;Huaguang Zhang

IEEE Transactions on Fuzzy Systems
Year: 2018 | Volume: 26, Issue: 4 | Journal Article |
Cited by: Papers (6)
This paper studies a distributed machine learning problem by applying a distributed optimization algorithm over an undirected and connected communication network. Each node has its own fuzzy logic system (FLS) based machine whose weights are trained by the proposed FLS-based distributed cooperative learning (DCL) algorithm to reach the optimum of the global cost function. The training process util...Show More

Distributed Cooperative Learning Over Networks via Fuzzy Logic Systems: Performance Analysis and Comparison

Pengfei Ren;Weisheng Chen;Hao Dai;Huaguang Zhang

Year: 2018 | Volume: 26, Issue: 4 | Journal Article |

Distributed cooperative learning over networks via fuzzy logic systems

Pengfei Ren;Weisheng Chen

2016 Chinese Control and Decision Conference (CCDC)
Year: 2016 | Conference Paper |
In this paper, we expand the scope of research on distributed cooperative learning (DCL) via fuzzy logic systems (FLSs) over an undirected and connected network, that is, each node (or learner) cooperatively learn an unknown pattern (or function) and finally reach consensus through local information interaction with their one-hop neighbors. Based on the approximation of FLSs, we present continuous...Show More

Distributed cooperative learning over networks via fuzzy logic systems

Pengfei Ren;Weisheng Chen

Year: 2016 | Conference Paper |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.