World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
13957
World Ranking
4747
National Ranking
19

Electronics and Electrical Engineering

D-Index
52
Citations
13725
World Ranking
2484
National Ranking
33

Overview

Ming Xiao is affiliated with the Royal Institute of Technology in Sweden. Their research spans across engineering and computer science, with a substantial focus on electrical and electronic engineering as well as computer networks and communications.

The scientist has contributed extensively to multiple subfields, including:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Artificial Intelligence
  • Aerospace Engineering
  • Applied Mathematics

Their research topics cover a broad spectrum within advanced communications and security technologies. Main topics include:

  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • Cooperative Communication and Network Coding
  • Wireless Communication Security Techniques
  • Millimeter-Wave Propagation and Modeling
  • Satellite Communication Systems
  • Privacy-Preserving Technologies in Data

Ming Xiao has published numerous papers, some of the recent notable papers are:

  • "Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach" (2023, IEEE Transactions on Intelligent Transportation Systems)
  • "Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing" (2023, IEEE Transactions on Intelligent Transportation Systems)
  • "Federated Learning Over Wireless IoT Networks With Optimized Communication and Resources" (2022, IEEE Internet of Things Journal)
  • "Satellite-Based Computing Networks with Federated Learning" (2022, IEEE Wireless Communications)
  • "Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks" (2020, IEEE Wireless Communications Letters)

The researcher frequently collaborates with a group of co-authors, including:

  • Mikael Skoglund
  • Yue Xiao
  • H. Vincent Poor
  • Yu Ye
  • Zheng Ma

Ming Xiao's work has been disseminated predominantly in several high-impact venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Communications
  • IEEE Transactions on Wireless Communications
  • IEEE Wireless Communications Letters
  • IEEE Transactions on Vehicular Technology

Best Publications

  • 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies

    Zhengquan Zhang;Yue Xiao;Zheng Ma;Ming Xiao

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

  • 6G Wireless Communications: Vision and Potential Techniques

    Ping Yang;Yue Xiao;Ming Xiao;Shaoqian Li

  • Full-Duplex Device-to-Device-Aided Cooperative Nonorthogonal Multiple Access

    Zhengquan Zhang;Zheng Ma;Ming Xiao;Zhiguo Ding

  • A Survey of Advanced Techniques for Spectrum Sharing in 5G Networks

    Lin Zhang;Ming Xiao;Gang Wu;Muhammad Alam

  • Performance Analysis and Optimization in Downlink NOMA Systems With Cooperative Full-Duplex Relaying

    Lin Zhang;Jiaqi Liu;Ming Xiao;Gang Wu

  • The Sensable City: A Survey on the Deployment and Management for Smart City Monitoring

    Rong Du;Paolo Santi;Ming Xiao;Athanasios V. Vasilakos

  • High-Reliability and Low-Latency Wireless Communication for Internet of Things: Challenges, Fundamentals, and Enabling Technologies

    Zheng Ma;Ming Xiao;Yue Xiao;Zhibo Pang

  • Spectrum Sharing for Internet of Things: A Survey

    Lin Zhang;Ying-Chang Liang;Ming Xiao

  • Multiple-User Cooperative Communications Based on Linear Network Coding

    Ming Xiao;Mikael Skoglund

  • Design of Network Codes for Multiple-User Multiple-Relay Wireless Networks

    Ming Xiao;J. Kliewer;M. Skoglund

  • Design of network codes for multiple-user multiple-relay wireless networks

    Ming Xiao;Mikael Skoglund

  • Efficient Scheduling and Power Allocation for D2D-Assisted Wireless Caching Networks

    Lin Zhang;Ming Xiao;Gang Wu;Shaoqian Li

  • Experimental Investigation of the Effects of Suffusion on Physical and Geomechanic Characteristics of Sandy Soils

    Ming Xiao;Nathan Shwiyhat

  • Advances in Device-to-Device Communications and Network Coding for IMT-Advanced

    Afif Osseiran;Klaus Doppler;Cassio Ribeiro;Ming Xiao

  • Federated Learning over Wireless IoT Networks with Optimized Communication and Resources.

    Hao Chen;Shaocheng Huang;Deyou Zhang;Ming Xiao

  • Satellite Based Computing Networks with Federated Learning

    Hao Chen;Ming Xiao;Zhibo Pang

  • Full-Duplex Two-Way and One-Way Relaying: Average Rate, Outage Probability, and Tradeoffs

    Zhengquan Zhang;Zheng Ma;Zhiguo Ding;Ming Xiao

  • Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks

    Shaocheng Huang;Yu Ye;Ming Xiao;H. Vincent Poor

  • Threshold-Free Physical Layer Authentication Based on Machine Learning for Industrial Wireless CPS

    Fei Pan;Zhibo Pang;Hong Wen;Michele Luvisotto

  • Error Floor Analysis of LT Codes over the Additive White Gaussian Noise Channel

    Iqbal Hussain;Ming Xiao;Lars K. Rasmussen

  • Physical clogging of soil filters under constant flow rate versus constant head

    Lakshmi N. Reddi;Ming Xiao;Malay G. Hajra;In Mo Lee

  • Decentralized Beam Pair Selection in Multi-Beam Millimeter-Wave Networks

    Yanping Liu;Xuming Fang;Ming Xiao;Shahid Mumtaz

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

Frequent Co-Authors

Mikael Skoglund
Mikael Skoglund Royal Institute of Technology
Lars K. Rasmussen
Lars K. Rasmussen Royal Institute of Technology
Yongming Huang
Yongming Huang Southeast University
Gang Wu
Gang Wu Washington University in St. Louis
Carlo Fischione
Carlo Fischione Royal Institute of Technology
Shaoqian Li
Shaoqian Li University of Electronic Science and Technology of China
Yue Xiao
Yue Xiao University of Electronic Science and Technology of China
Pingzhi Fan
Pingzhi Fan Southwest Jiaotong University
H. Vincent Poor
H. Vincent Poor Princeton University
Zhibo Pang
Zhibo Pang Royal Institute of Technology

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