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Computer Science

D-Index
34
Citations
5661
World Ranking
12081
National Ranking
1493

Overview

Tiejun Lv is affiliated with Beijing University of Posts and Telecommunications in China. Their research spans multiple fields of engineering and computer science, with a focus on electrical and electronic engineering and computer networks and communications. Their work also covers aerospace engineering, artificial intelligence, and computer vision and pattern recognition.

The primary topics addressed by Tiejun Lv include:

  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • Cooperative Communication and Network Coding
  • UAV Applications and Optimization
  • Wireless Communication Security Techniques
  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data

Tiejun Lv has published extensively across several major venues. The most frequent publication venues include:

  • arXiv (Cornell University) with 15 publications
  • IEEE Transactions on Communications with 8 publications
  • IEEE Transactions on Vehicular Technology with 7 publications
  • IEEE Internet of Things Journal with 6 publications
  • Sensors with 6 publications

Some recent papers by Tiejun Lv are:

  • When Internet of Things Meets Metaverse: Convergence of Physical and Cyber Worlds, 2022, IEEE Internet of Things Journal
  • Energy-Delay Minimization of Task Migration Based on Game Theory in MEC-Assisted Vehicular Networks, 2022, IEEE Transactions on Vehicular Technology
  • Sum-Rate Maximization for Multi-Reconfigurable Intelligent Surface-Assisted Device-to-Device Communications, 2021, IEEE Transactions on Communications
  • Delay-Constrained Joint Power Control, User Detection and Passive Beamforming in Intelligent Reflecting Surface-Assisted Uplink mmWave System, 2021, IEEE Transactions on Cognitive Communications and Networking
  • Computation offloading and resource allocation based on distributed deep learning and software defined mobile edge computing, 2022, Computer Networks

Frequent collaborators include Wei Ni, Zhipeng Lin, Yashuai Cao, Pingmu Huang, and Jie Zeng. The highest collaboration counts are with Wei Ni (23 publications) and Zhipeng Lin (17 publications).

Best Publications

  • Deep reinforcement learning based computation offloading and resource allocation for MEC

    Ji Li;Hui Gao;Tiejun Lv;Yueming Lu

  • When Internet of Things Meets Metaverse: Convergence of Physical and Cyber Worlds

    Unknown

  • Enabling Technologies for Ultra-Reliable and Low Latency Communications: From PHY and MAC Layer Perspectives

    Gordon J. Sutton;Jie Zeng;Ren Ping Liu;Wei Ni

  • An ESPRIT-Based Approach for 2-D Localization of Incoherently Distributed Sources in Massive MIMO Systems

    Anzhong Hu;Tiejun Lv;Hui Gao;Zhang Zhang

  • Secrecy Transmit Beamforming for Heterogeneous Networks

    Tiejun Lv;Hui Gao;Shaoshi Yang

  • Intelligent Reflecting Surface Aided Multi-User mmWave Communications for Coverage Enhancement

    Yashuai Cao;Tiejun Lv;Wei Ni

  • Investigation on Evolving Single-Carrier NOMA Into Multi-Carrier NOMA in 5G

    Jie Zeng;Tiejun Lv;Ren Ping Liu;Xin Su

  • Millimeter-Wave NOMA Transmission in Cellular M2M Communications for Internet of Things

    Tiejun Lv;Yuyu Ma;Jie Zeng;P. Takis Mathiopoulos

  • 3-D Indoor Positioning for Millimeter-Wave Massive MIMO Systems

    Zhipeng Lin;Tiejun Lv;P. Takis Mathiopoulos

  • Joint estimation of symbol timing and carrier frequency offset of OFDM signals over fast time-varying multipath channels

    T. Lv;Hua Li;Jie Chen

  • Enabling Ultrareliable and Low-Latency Communications Under Shadow Fading by Massive MU-MIMO

    Jie Zeng;Tiejun Lv;Ren Ping Liu;Xin Su

  • Downlink MIMO-NOMA for Ultra-Reliable Low-Latency Communications

    Chiyang Xiao;Jie Zeng;Wei Ni;Xin Su

  • Sum-Rate Maximization for Multi-Reconfigurable Intelligent Surface-Assisted Device-to-Device Communications

    Yashuai Cao;Tiejun Lv;Wei Ni;Zhipeng Lin

  • Energy-Delay Minimization of Task Migration Based on Game Theory in MEC-Assisted Vehicular Networks

    Unknown

  • Energy-Efficient Transmission Design in Cooperative Relaying Systems Using NOMA

    Qian Liu;Tiejun Lv;Zhipeng Lin

  • Delay-Constrained Joint Power Control, User Detection and Passive Beamforming in Intelligent Reflecting Surface Assisted Uplink mmWave System

    Yashuai Cao;Tiejun Lv;Zhipeng Lin;Wei Ni

  • Computation offloading and resource allocation based on distributed deep learning and software defined mobile edge computing

    Unknown

  • A beamspace approach for 2-D localization of incoherently distributed sources in massive MIMO systems

    Tiejun Lv;Fangqing Tan;Hui Gao;Shaoshi Yang

  • Delay-Constrained Joint Power Control, User Detection and Passive Beamforming in Intelligent Reflecting Surface-Assisted Uplink mmWave System

    Yashuai Cao;Tiejun Lv;Zhipeng Lin;Wei Ni

  • Deep Q-Learning Based Dynamic Resource Allocation for Self-Powered Ultra-Dense Networks

    Han Li;Hui Gao;Tiejun Lv;Yueming Lu

  • Complex ResNet Aided DoA Estimation for Near-Field MIMO Systems

    Yashuai Cao;Tiejun Lv;Zhipeng Lin;Pingmu Huang

  • Low-Complexity Downlink User Selection for Massive MIMO Systems

    Haijing Liu;Hui Gao;Shaoshi Yang;Tiejun Lv

  • Zero-Forcing Based MIMO Two-Way Relay with Relay Antenna Selection: Transmission Scheme and Diversity Analysis

    Hui Gao;Tiejun Lv;Shengli Zhang;Chau Yuen

  • Optimization of the Energy-Efficient Relay-Based Massive IoT Network

    Tiejun Lv;Zhipeng Lin;Pingmu Huang;Jie Zeng

  • Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach

    Shaoyang Wang;Tiejun Lv;Wei Ni;Norman C. Beaulieu

Frequent Co-Authors

Wei Ni
Wei Ni Edith Cowan University
Ren Ping Liu
Ren Ping Liu University of Technology Sydney
Lajos Hanzo
Lajos Hanzo University of Southampton
Chau Yuen
Chau Yuen Nanyang Technological University
Norman C. Beaulieu
Norman C. Beaulieu Beijing University of Posts and Telecommunications
John M. Cioffi
John M. Cioffi Stanford University
Y. Jay Guo
Y. Jay Guo University of Technology Sydney
Shengli Zhang
Shengli Zhang Hanshan Normal University
Lin Zhang
Lin Zhang Beihang University
Haitao Zheng
Haitao Zheng University of Chicago

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