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Shuangfeng Han

Shuangfeng Han

Overview

Shuangfeng Han is a researcher affiliated with China Mobile (China) based in China. Their primary field of study is engineering, with a significant focus on electrical and electronic engineering, which accounts for the majority of their publications. They are also involved in research related to computer networks and communications, aerospace engineering, media technology, and computer vision and pattern recognition.

The main research topics covered in Shuangfeng Han's work include:

  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • Full-Duplex Wireless Communications
  • Energy Harvesting in Wireless Networks
  • Millimeter-Wave Propagation and Modeling
  • Telecommunications and Broadcasting Technologies
  • Software-Defined Networks and 5G

Han has contributed to the body of knowledge in wireless communications and information sciences through publications in various respected venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • IEEE Communications Magazine
  • Science China Information Sciences
  • IEEE Transactions on Communications
  • Nature Electronics

Among recent papers authored or co-authored by Shuangfeng Han are:

  • "Artificial-Intelligence-Enabled Air Interface for 6G: Solutions, Challenges, and Standardization Impacts," 2020, IEEE Communications Magazine
  • "Greener Physical Layer Technologies for 6G Mobile Communications," 2021, IEEE Communications Magazine
  • "Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts," 2020, Science China Information Sciences (authored by Xiaohu You, but part of related research context)
  • "Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications," 2021, IEEE Transactions on Communications
  • "Energy-efficient 5G for a greener future," 2020, Nature Electronics

Han frequently collaborates with several co-authors, including I Chih-Lin, Chao-Kai Wen, Shi Jin, Xiaoyun Wang, and Tian Xie. Among these, I Chih-Lin appears as a recurrent partner in multiple research works.

Best Publications

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

    Linglong Dai;Bichai Wang;Yifei Yuan;Shuangfeng Han

  • Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

    Xiaohu You;Cheng-Xiang Wang;Jie Huang;Xiqi Gao

  • Large-scale antenna systems with hybrid analog and digital beamforming for millimeter wave 5G

    Shuangfeng Han;Chih-Lin I;Zhikun Xu;Corbett Rowell

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

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

  • Toward green and soft: a 5G perspective

    Chih-Lin I;Corbett Rowell;Shuangfeng Han;Zhikun Xu

  • On the Ergodic Capacity of MIMO NOMA Systems

    Qi Sun;Shuangfeng Han;Chin-Lin I;Zhengang Pan

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

    Chen Hu;Linglong Dai;Shuangfeng Han;Xiaoyun Wang

  • 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

  • Compressive Sensing Techniques for Next-Generation Wireless Communications

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

  • Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array

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

  • Toward the Standardization of Non-Orthogonal Multiple Access for Next Generation Wireless Networks

    Yan Chen;Alireza Bayesteh;Yiqun Wu;Bin Ren

  • Energy-efficient 5G for a greener future

    Chih-Lin I;Shuangfeng Han;Sen Bian

  • Machine learning inspired energy-efficient hybrid precoding for mmWave massive MIMO systems

    Xinyu Gao;Linglong Dai;Ying Sun;Shuangfeng Han

  • New Paradigm of 5G Wireless Internet

    Chih-Lin I;Shuangfeng Han;Zhikun Xu;Sen Wang

  • Near-optimal hybrid analog and digital precoding for downlink mmWave massive MIMO systems

    Linglong Dai;Xinyu Gao;Jinguo Quan;Shuangfeng Han

  • Energy efficiency optimization for fading MIMO non-orthogonal multiple access systems

    Qi Sun;Shuangfeng Han;Chin-Lin I;Zhengang Pan

  • Near-Optimal Hybrid Analog and Digital Precoding for Downlink mmWave Massive MIMO Systems

    Linglong Dai;Xinyu Gao;Jinguo Quan;Shuangfeng Han

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

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

  • Nonorthogonal Multiple Access for 5G

    Linglong Dai;Bichai Wang;Ruicheng Jiao;Zhiguo Ding

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

    Linglong Dai;Xinyu Gao;Xin Su;Shuangfeng Han

Frequent Co-Authors

Chih-Lin I
Chih-Lin I China Mobile (China)
Linglong Dai
Linglong Dai Tsinghua University
Zhaocheng Wang
Zhaocheng Wang Tsinghua University
Geoffrey Ye Li
Geoffrey Ye Li Imperial College London
Guanding Yu
Guanding Yu Zhejiang University
Robert W. Heath
Robert W. Heath University of California, San Diego
Yan Chen
Yan Chen Northwestern University
Zhiguo Ding
Zhiguo Ding Nanyang Technological University
Lajos Hanzo
Lajos Hanzo University of Southampton
Yifei Yuan
Yifei Yuan Argonne National Laboratory

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