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Jeffrey H. Reed

Jeffrey H. Reed

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
66
Citations
22674
World Ranking
1120
National Ranking
468

Overview

Jeffrey H. Reed is affiliated with Virginia Tech in the United States. Their research spans several interconnected fields with a focus on engineering and computer science, particularly electrical and electronic engineering, computer networks and communications, aerospace engineering, artificial intelligence, and signal processing.

The scientist's work concentrates on various topics related to wireless communications and advanced network systems. These topics include:

  • Advanced MIMO Systems Optimization
  • Millimeter-Wave Propagation and Modeling
  • Advanced Wireless Communication Technologies
  • Age of Information Optimization
  • UAV Applications and Optimization
  • Energy Harvesting in Wireless Networks
  • Satellite Communication Systems

Jeffrey H. Reed has published extensively, with notable papers including:

  • "Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G" (2020), published in IEEE Wireless Communications
  • "Intelligent O-RAN for Beyond 5G and 6G Wireless Networks" (2022), published in 2022 IEEE Globecom Workshops (GC Wkshps)
  • "Optimizing Number, Placement, and Backhaul Connectivity of Multi-UAV Networks" (2022), published in IEEE Internet of Things Journal
  • "Intelligent O-RAN for Beyond 5G and 6G Wireless Networks" (2020), published in arXiv (Cornell University)
  • "Self-Tuning Sectorization: Deep Reinforcement Learning Meets Broadcast Beam Optimization" (2020), published in IEEE Transactions on Wireless Communications

Their frequent publication venues reflect a consistent focus on wireless communication and emerging technologies, including:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Wireless Communications
  • IEEE Access
  • IEEE Transactions on Wireless Communications

Jeffrey H. Reed collaborates regularly with a group of coauthors, with the most frequent including:

  • Vijay K. Shah
  • Wenjing Lou
  • Y. Thomas Hou
  • Harpreet S. Dhillon
  • Vuk Marojevic

Their research contributions reflect interdisciplinary applications in cellular and wireless networks, intelligent radio access networks, UAV network optimization, and reinforcement learning applied to communication systems.

Best Publications

  • Overview of spatial channel models for antenna array communication systems

    R.B. Ertel;P. Cardieri;K.W. Sowerby;T.S. Rappaport

  • Spectrum Sensing for Cognitive Radio

    S. Haykin;D.J. Thomson;J.H. Reed

  • Position location using wireless communications on highways of the future

    T.S. Rappaport;J.H. Reed;B.D. Woerner

  • Defense against Primary User Emulation Attacks in Cognitive Radio Networks

    Ruiliang Chen;Jung-Min Park;J.H. Reed

  • Software radio: a modern approach to radio engineering

    Jeffrey Reed

  • An overview of the challenges and progress in meeting the E-911 requirement for location service

    J.H. Reed;K.J. Krizman;B.D. Woerner;T.S. Rappaport

  • Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges

    Solmaz Niknam;Harpreet S. Dhillon;Jeffrey H. Reed

  • A new approach to signal classification using spectral correlation and neural networks

    A. Fehske;J. Gaeddert;J.H. Reed

  • Using game theory to analyze wireless ad hoc networks

    V. Srivastava;J. Neel;A.B. Mackenzie;R. Menon

  • Cyclostationary Approaches to Signal Detection and Classification in Cognitive Radio

    Kyouwoong Kim;I.A. Akbar;K.K. Bae;Jung-sun Urn

  • Introduction to Ultra Wideband Communication Systems, An

    Jeffrey Reed

  • Handoff in cellular systems

    N.D. Tripathi;J.H. Reed;H.F. VanLandinoham

  • Analog-to-digital converters

    Bin Le;T.W. Rondeau;J.H. Reed;C.W. Bostian

  • Toward secure distributed spectrum sensing in cognitive radio networks

    Ruiliang Chen;Jung-Min Park;Y.T. Hou;J.H. Reed

  • Angle and time of arrival statistics for circular and elliptical scattering models

    R.B. Ertel;J.H. Reed

  • A Survey of Artificial Intelligence for Cognitive Radios

    An He;Kyung Kyoon Bae;Timothy R Newman;Joseph Gaeddert

  • Geometrical-based statistical macrocell channel model for mobile environments

    P. Petrus;J.H. Reed;T.S. Rappaport

  • Analysis and design of cognitive radio networks and distributed radio resource management algorithms

    Jeffrey H. Reed;James O'Daniell Neel

  • Interference rejection in digital wireless communications

    J.D. Laster;J.H. Reed

  • Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G

    Rubayet Shafin;Lingjia Liu;Vikram Chandrasekhar;Hao Chen

  • Applying Radio Environment Maps to Cognitive Wireless Regional Area Networks

    Youping Zhao;L. Morales;J. Gaeddert;K.K. Bae

Frequent Co-Authors

Theodore S. Rappaport
Theodore S. Rappaport New York University
Allen B. MacKenzie
Allen B. MacKenzie Tennessee Technological University
Shiwen Mao
Shiwen Mao Auburn University
Jung-Min Park
Jung-Min Park Virginia Tech
Harpreet S. Dhillon
Harpreet S. Dhillon Virginia Tech
Lingjia Liu
Lingjia Liu Virginia Tech
Luiz A. DaSilva
Luiz A. DaSilva Virginia Tech
R. Michael Buehrer
R. Michael Buehrer Virginia Tech
Yi Shi
Yi Shi Virginia Tech

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