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Computer Science

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32
Citations
5442
World Ranking
13027
National Ranking
831

Electronics and Electrical Engineering

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32
Citations
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World Ranking
6227
National Ranking
314

Overview

David Grace is affiliated with the University of York in the United Kingdom. Their research primarily spans the fields of engineering and computer science, with a significant focus on electrical and electronic engineering, computer networks and communications, and aerospace engineering. Additional subfields include artificial intelligence and biomedical engineering.

The scientist's work covers a range of advanced topics related to wireless communication systems and network optimization. Key areas of research include satellite communication systems, energy harvesting in wireless networks, advanced MIMO systems optimization, UAV applications and optimization, energy efficient wireless sensor networks, PAPR reduction in OFDM, and other advanced wireless communication techniques.

David Grace has contributed to several recent publications, some of which are:

  • A review of wireless communication using high-altitude platforms for extended coverage and capacity, 2020, Computer Communications
  • Spectrum Options and Allocations for 6G: A Regulatory and Standardization Review, 2023, IEEE Open Journal of the Communications Society
  • Single candidate optimizer: a novel optimization algorithm, 2022, Evolutionary Intelligence
  • Energy Management of Solar-Powered Aircraft-Based High Altitude Platform for Wireless Communications, 2020, Electronics
  • Reinforcement Learning Based MAC Protocol (UW-ALOHA-QM) for Mobile Underwater Acoustic Sensor Networks, 2020, IEEE Access

The scientist frequently collaborates with other researchers, with notable coauthors including Hamed Ahmadi, Yi Chu, Alister G. Burr, Paul Mitchell, and Sumaila Mahama.

David Grace has published extensively in several venues, including IEEE Access, arXiv (Cornell University), IEEE Open Journal of the Communications Society, Electronics, and Computer Communications.

Best Publications

  • High-altitude platforms for wireless communications

    T.C. Tozer;D. Grace

  • Designing and implementing future aerial communication networks

    Sathyanarayanan Chandrasekharan;Karina Gomez;Akram Al-Hourani;Sithamparanathan Kandeepan

  • A General Upper Bound to Evaluate Packet Error Rate over Quasi-Static Fading Channels

    Yong Xi;A Burr;JiBo Wei;D Grace

  • Broadband communications from a high-altitude platform: the European HeliNet programme

    J. Thornton;D. Grace;C. Spillard;T. Konefal

  • Optimizing an array of antennas for cellular coverage from a high altitude platform

    J. Thornton;D. Grace;M.H. Capstick;T.C. Tozer

  • Blockchain-Based Secure Spectrum Trading for Unmanned-Aerial-Vehicle-Assisted Cellular Networks: An Operator’s Perspective

    Junfei Qiu;David Grace;Guoru Ding;Junnan Yao

  • Broadband Communications via High Altitude Platforms

    David Grace

  • Air-Ground Heterogeneous Networks for 5G and Beyond via Integrating High and Low Altitude Platforms

    Junfei Qiu;David Grace;Guoru Ding;Muhammad D. Zakaria

  • A review of wireless communication using high-altitude platforms for extended coverage and capacity

    Steve Chukwuebuka Arum;David Grace;Paul Daniel Mitchell

  • Improving the system capacity of broadband services using multiple high-altitude platforms

    D. Grace;J. Thornton;Guanhua Chen;G.P. White

  • Providing multimedia communications services from high altitude platforms

    David Grace;N. E. Daly;Tim C. Tozer;Alister G. Burr

  • Using cognitive radio to deliver ‘Green’ communications

    David Grace;Jingxin Chen;Tao Jiang;Paul D. Mitchell

  • ALOHA and Q-Learning based medium access control for Wireless Sensor Networks

    Yi Chu;Paul D. Mitchell;David Grace

  • Integrating users into the wider broadband network via high altitude platforms

    D. Grace;M.H. Capstick;M. Mohorcic;J. Horwath

  • Distributed Heuristically Accelerated Q-Learning for Robust Cognitive Spectrum Management in LTE Cellular Systems

    Nils Morozs;Tim Clarke;David Grace

  • Spectrum Options and Allocations for 6G: A Regulatory and Standardization Review

    Unknown

  • Efficient exploration in reinforcement learning-based cognitive radio spectrum sharing

    Tao Jiang;David Grace;Paul D. Mitchell

  • Single candidate optimizer: a novel optimization algorithm

    Unknown

  • Aerial base stations with opportunistic links for next generation emergency communications

    Karina Gomez;Sithamparanathan Kandeepan;Macia Mut Vidal;Vincent Boussemart

  • Application of reinforcement learning to medium access control for wireless sensor networks

    Yi Chu;Selahattin Kosunalp;Paul D. Mitchell;David Grace

  • Integration of a HAP within a Terrestrial UMTS Network: InterferenceAnalysis and Cell Dimensioning

    Emanuela Falletti;Marina Mondin;Fabio Dovis;David Grace

  • Reinforcement Learning Based MAC Protocol (UW-ALOHA-QM) for Mobile Underwater Acoustic Sensor Networks

    Sung Hyun Park;Paul Daniel Mitchell;David Grace

Frequent Co-Authors

Alister G. Burr
Alister G. Burr University of York
Honggang Zhang
Honggang Zhang Zhejiang University
Jibo Wei
Jibo Wei National University of Defense Technology
Shlomi Arnon
Shlomi Arnon Ben-Gurion University of the Negev
Zhifeng Zhao
Zhifeng Zhao Zhejiang Lab
Lazaros Merakos
Lazaros Merakos National and Kapodistrian University of Athens
Claude Oestges
Claude Oestges Université Catholique de Louvain
Qihui Wu
Qihui Wu Nanjing University of Aeronautics and Astronautics
Lingyang Song
Lingyang Song Peking University

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