World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
84
Citations
21776
World Ranking
869
National Ranking
131

Electronics and Electrical Engineering

D-Index
83
Citations
21416
World Ranking
438
National Ranking
68

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to channel estimation and signal processing for wireless communications

Overview

Feifei Gao is a researcher affiliated with Tsinghua University in China, specializing in fields related to engineering, with a primary focus on electrical and electronic engineering and aerospace engineering. Their research also spans artificial intelligence, computer networks and communications, and computer vision and pattern recognition.

Their scholarly work addresses several topics within wireless communications and related technologies. Key areas of study include:

  • Millimeter-Wave Propagation and Modeling
  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • Indoor and Outdoor Localization Technologies
  • UAV Applications and Optimization
  • Wireless Signal Modulation Classification
  • Antenna Design and Analysis

Feifei Gao has contributed extensively to the academic literature, with notable papers including:

  • 3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach, 2020, IEEE Transactions on Wireless Communications
  • Terahertz Massive MIMO With Holographic Reconfigurable Intelligent Surfaces, 2021, IEEE Transactions on Communications
  • UAV-Enabled Secure Communications by Multi-Agent Deep Reinforcement Learning, 2020, IEEE Transactions on Vehicular Technology
  • Toward Semantic Communications: Deep Learning-Based Image Semantic Coding, 2022, IEEE Journal on Selected Areas in Communications
  • Wideband Beamforming for Hybrid Massive MIMO Terahertz Communications, 2021, IEEE Journal on Selected Areas in Communications

The frequent collaborators in their research include Shun Zhang, Shaodan Ma, Shi Jin, Geoffrey Ye Li, and Octavia A. Dobre.

Feifei Gao publishes often in several distinct venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Communications
  • IEEE Journal on Selected Areas in Communications
  • IEEE Wireless Communications Letters

In addition to journal publications, Feifei Gao has contributed to book literature with the publication of "Communications and Networking" under the Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering in 2023.

Feifei Gao was recognized as an IEEE Fellow in 2020 for contributions to channel estimation and signal processing in wireless communications.

Best Publications

  • Model-Driven Deep Learning for Physical Layer Communications

    Hengtao He;Shi Jin;Chao-Kai Wen;Feifei Gao

  • Deep learning for wireless physical layer: Opportunities and challenges

    Tianqi Wang;Chao-Kai Wen;Hanqing Wang;Feifei Gao

  • On channel estimation and optimal training design for amplify and forward relay networks

    Feifei Gao;Tao Cui;A. Nallanathan

  • Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems

    Bolei Wang;Feifei Gao;Shi Jin;Hai Lin

  • A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model

    Hongxiang Xie;Feifei Gao;Shun Zhang;Shi Jin

  • Ambient Backscatter Communication Systems: Detection and Performance Analysis

    Gongpu Wang;Feifei Gao;Rongfei Fan;Chintha Tellambura

  • Optimal channel estimation and training design for two-way relay networks

    Feifei Gao;Rui Zhang;Ying-Chang Liang

  • Distributed Space–Time Coding for Two-Way Wireless Relay Networks

    Tao Cui;Feifei Gao;T. Ho;A. Nallanathan

  • Noncoherent Detections for Ambient Backscatter System

    Jing Qian;Feifei Gao;Gongpu Wang;Shi Jin

  • Toward Semantic Communications: Deep Learning-Based Image Semantic Coding

    Unknown

  • 3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach

    Ruijin Ding;Feifei Gao;Xuemin Sherman Shen

  • An Overview of Low-Rank Channel Estimation for Massive MIMO Systems

    Hongxiang Xie;Feifei Gao;Shi Jin

  • A generalized ESPRIT approach to direction-of-arrival estimation

    F. Gao;A.B. Gershman

  • Terahertz Massive MIMO With Holographic Reconfigurable Intelligent Surfaces

    Ziwei Wan;Zhen Gao;Feifei Gao;Marco Di Renzo

  • Deep Learning-Based Channel Estimation for Doubly Selective Fading Channels

    Yuwen Yang;Feifei Gao;Xiaoli Ma;Shun Zhang

  • UAV-Enabled Secure Communications by Multi-Agent Deep Reinforcement Learning

    Yu Zhang;Zhiyu Mou;Feifei Gao;Jing Jiang

  • Joint Information- and Jamming-Beamforming for Physical Layer Security With Full Duplex Base Station

    Fengchao Zhu;Feifei Gao;Minli Yao;Hongxing Zou

  • Channel Estimation for OFDM Modulated Two-Way Relay Networks

    Feifei Gao;Rui Zhang;Ying-Chang Liang

  • Deep Learning-Based Image Semantic Coding for Semantic Communications

    Unknown

  • Power Control in UAV-Supported Ultra Dense Networks: Communications, Caching, and Energy Transfer

    Haichao Wang;Guoru Ding;Feifei Gao;Jin Chen

  • Cognitive beamforming made practical: Effective interference channel and learning-throughput tradeoff

    Rui Zhang;Feifei Gao;Ying-Chang Liang

  • Deep Learning-Based Downlink Channel Prediction for FDD Massive MIMO System

    Yuwen Yang;Feifei Gao;Geoffrey Ye Li;Mengnan Jian

  • Angle Domain Hybrid Precoding and Channel Tracking for Millimeter Wave Massive MIMO Systems

    Jianwei Zhao;Feifei Gao;Weimin Jia;Shun Zhang

  • A Full-Space Spectrum-Sharing Strategy for Massive MIMO Cognitive Radio Systems

    Hongxiang Xie;Bolei Wang;Feifei Gao;Shi Jin

Frequent Co-Authors

Shi Jin
Shi Jin Southeast University
Arumugam Nallanathan
Arumugam Nallanathan Queen Mary University of London
Gongpu Wang
Gongpu Wang Beijing Jiaotong University
Chintha Tellambura
Chintha Tellambura University of Alberta
Geoffrey Ye Li
Geoffrey Ye Li Imperial College London
Zhangdui Zhong
Zhangdui Zhong Beijing Jiaotong University
Ying-Chang Liang
Ying-Chang Liang University of Electronic Science and Technology of China
Rui Zhang
Rui Zhang National University of Singapore
Zan Li
Zan Li Xidian University
Xianfu Lei
Xianfu Lei Southwest Jiaotong University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Electronics and Electrical Engineering opens up diverse career paths, but flexibility in education is crucial for many students. For military spouses and dependents balancing education with family commitments, exploring online colleges for military spouses can provide tailored support and adaptable learning schedules.

Additionally, many learners benefit from institutions that offer online colleges with frequent start dates. This flexibility allows students to begin studies as soon as they are ready, without waiting for traditional semester cycles, which is ideal for working professionals and those with shifting schedules.

For those seeking quicker entry into the workforce or looking to upskill, 6-month certificate programs that pay well can be an excellent option. These programs offer targeted knowledge in high-demand areas within the field, enabling faster transitions to technical roles.

Many roles in Electronics and Electrical Engineering suit careers for introverts, where individuals can thrive in focused, detail-oriented environments. Understanding these nuanced pathways can help students find their ideal professional fit while maximizing their educational investments.

Best Scientists Citing Feifei Gao

Trending Scientists

Recently Published Articles