World's Best Scientists 2026 revealed!
Linglong Dai

Linglong Dai

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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
88
Citations
31748
World Ranking
681
National Ranking
97

Electronics and Electrical Engineering

D-Index
88
Citations
31747
World Ranking
323
National Ranking
53

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award

Overview

Linglong Dai is affiliated with Tsinghua University in China and specializes in engineering, with a significant focus on electrical and electronic engineering. Their research encompasses aerospace engineering, artificial intelligence, computer networks and communications, and signal processing.

The scientist's work largely revolves around advanced wireless communication technologies, particularly in the areas of multiple-input multiple-output (MIMO) systems optimization and antenna design and analysis.

  • Advanced MIMO Systems Optimization
  • Antenna Design and Analysis
  • Advanced Wireless Communication Technologies
  • Millimeter-Wave Propagation and Modeling
  • Antenna Design and Optimization
  • Microwave Engineering and Waveguides
  • Advanced Antenna and Metasurface Technologies

Recent publications by Linglong Dai include research contributions spanning from 2020 to 2022. Notable papers are:

  • "Active RIS vs. Passive RIS: Which Will Prevail in 6G?" (2022), published in IEEE Transactions on Communications
  • "Reconfigurable Intelligent Surface-Based Wireless Communications: Antenna Design, Prototyping, and Experimental Results" (2020), published in IEEE Access
  • "Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field?" (2022), published in IEEE Transactions on Communications
  • "Near-Field MIMO Communications for 6G: Fundamentals, Challenges, Potentials, and Future Directions" (2022), published in IEEE Communications Magazine
  • "Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications" (2021), published in IEEE Transactions on Communications

Frequent coauthors collaborating with Linglong Dai include Zijian Zhang, Mingyao Cui, Jieao Zhu, Chan-Byoung Chae, and Zidong Wu.

Publications are predominantly found in high-impact venues such as arXiv (Cornell University), IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Wireless Communications, and IEEE Communications Letters.

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

Best Publications

  • Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends

    Linglong Dai;Bichai Wang;Yifei Yuan;Shuangfeng Han

  • A Survey of Non-Orthogonal Multiple Access for 5G

    Linglong Dai;Bichai Wang;Zhiguo Ding;Zhaocheng Wang

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

  • Active RIS vs. Passive RIS: Which Will Prevail in 6G?

    Unknown

  • Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays

    Xinyu Gao;Linglong Dai;Shuangfeng Han;Chih-Lin I

  • Reconfigurable Intelligent Surface-Based Wireless Communications: Antenna Design, Prototyping, and Experimental Results

    Linglong Dai;Bichai Wang;Min Wang;Xue Yang

  • Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field?

    Unknown

  • Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey

    Sherif Adeshina Busari;Kazi Mohammed Saidul Huq;Shahid Mumtaz;Linglong Dai

  • Near-Field MIMO Communications for 6G: Fundamentals, Challenges, Potentials, and Future Directions

    Unknown

  • Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO

    Zhen Gao;Linglong Dai;Zhaocheng Wang;Sheng Chen

  • MmWave massive-MIMO-based wireless backhaul for the 5G ultra-dense network

    Zhen Gao;Linglong Dai;De Mi;Zhaocheng Wang

  • Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems

    Yan Sun;Dongfang Xu;Derrick Wing Kwan Ng;Linglong Dai

  • Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO

    Wenqian Shen;Linglong Dai;Jianping An;Pingzhi Fan

  • Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications

    Chen Hu;Linglong Dai;Shuangfeng Han;Xiaoyun Wang

  • Spectrum and Energy-Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array

    Bichai Wang;Linglong Dai;Zhaocheng Wang;Ning Ge

  • Channel Estimation for Millimeter-Wave Massive MIMO With Hybrid Precoding Over Frequency-Selective Fading Channels

    Zhen Gao;Chen Hu;Linglong Dai;Zhaocheng Wang

  • MmWave Massive MIMO Based Wireless Backhaul for 5G Ultra-Dense Network

    Zhen Gao;Linglong Dai;De Mi;Zhaocheng Wang

  • A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network

    Zijian Zhang;Linglong Dai

  • Low-Complexity Soft-Output Signal Detection Based on Gauss–Seidel Method for Uplink Multiuser Large-Scale MIMO Systems

    Linglong Dai;Xinyu Gao;Xin Su;Shuangfeng Han

  • Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA With Simultaneous Wireless Information and Power Transfer

    Linglong Dai;Bichai Wang;Mugen Peng;Shanzhi Chen

  • Performance Analysis of Mixed-ADC Massive MIMO Systems over Rician Fading Channels

    Jiayi Zhang;Linglong Dai;Ziyan He;Shi Jin

  • On Low-Resolution ADCs in Practical 5G Millimeter-Wave Massive MIMO Systems

    Jiayi Zhang;Linglong Dai;Xu Li;Ying Liu

  • Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO

    Wenqian Shen;Linglong Dai;Shuangfeng Han;I. Chih-Lin

  • Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications

    Chen Hu;Linglong Dai

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

Frequent Co-Authors

Zhaocheng Wang
Zhaocheng Wang Tsinghua University
Shuangfeng Han
Shuangfeng Han China Mobile (China)
Chih-Lin I
Chih-Lin I China Mobile (China)
Derrick Wing Kwan Ng
Derrick Wing Kwan Ng University of New South Wales
Lajos Hanzo
Lajos Hanzo University of Southampton
Sheng Chen
Sheng Chen University of Southampton
Robert Schober
Robert Schober University of Erlangen-Nuremberg
Fumiyuki Adachi
Fumiyuki Adachi Tohoku University
Jian Song
Jian Song Tsinghua University
Shahid Mumtaz
Shahid Mumtaz Nottingham Trent University

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