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Electronics and Electrical Engineering

D-Index
31
Citations
5429
World Ranking
6484
National Ranking
329

Research.com Recognitions

  • 2010 - Hellman Fellow

Overview

Alister G. Burr is affiliated with the University of York in the United Kingdom. Their research spans across the fields of engineering and computer science, with a focus on electrical and electronic engineering and computer networks and communications. The primary areas of investigation include advanced MIMO systems optimization, cooperative communication and network coding, energy harvesting in wireless networks, and PAPR reduction in OFDM.

Their research output includes work on advanced wireless communication techniques, full-duplex wireless communications, and other advanced wireless communication technologies. Frequent co-authors in their research include Kanapathippillai Cumanan, David Grace, Yahya Jasim Harbi, Pei Xiao, and Sumaila Mahama.

Recent publications demonstrate a thematic focus on cell-free massive MIMO systems, spectral and energy efficiency, and optimization algorithms. Selected recent papers include:

  • Exploiting Deep Learning in Limited-Fronthaul Cell-Free Massive MIMO Uplink, 2020, IEEE Journal on Selected Areas in Communications
  • Uplink Spectral and Energy Efficiency of Cell-Free Massive MIMO With Optimal Uniform Quantization, 2020, IEEE Transactions on Communications
  • Single Candidate Optimizer: A Novel Optimization Algorithm, 2022, Evolutionary Intelligence
  • Risk-Resistant Resource Allocation for eMBB and URLLC Coexistence Under M/G/1 Queueing Model, 2022, IEEE Transactions on Vehicular Technology
  • Limited-Fronthaul Cell-Free Massive MIMO With Local MMSE Receiver Under Rician Fading and Phase Shifts, 2021, IEEE Wireless Communications Letters

Their work has been published in a variety of venues, with nine papers in arXiv (Cornell University), three publications in IEEE Wireless Communications Letters, and contributions in IEEE Open Journal of the Communications Society, IEEE Transactions on Wireless Communications, and IEEE Journal on Selected Areas in Communications.

Alister G. Burr's research addresses technical challenges in wireless communications, focusing on performance optimization and resource allocation relevant to modern communication networks. Their exploration of machine learning techniques in massive MIMO uplinks reflects an integration of artificial intelligence approaches within the engineering domain.

In recognition of their contributions, they were awarded the Hellman Fellowship in 2010.

Best Publications

  • Survey of channel and radio propagation models for wireless MIMO systems

    P. Almers;E. Bonek;A. Burr;N. Czink

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

    Yong Xi;A Burr;JiBo Wei;D Grace

  • Modulation and Coding for Wireless Communications

    Alister Burr

  • On the Uplink Max–Min SINR of Cell-Free Massive MIMO Systems

    Manijeh Bashar;Kanapathippillai Cumanan;Alister G. Burr;Merouane Debbah

  • Capacity bounds and estimates for the finite scatterers MIMO wireless channel

    A.G. Burr

  • Max–Min Rate of Cell-Free Massive MIMO Uplink With Optimal Uniform Quantization

    Manijeh Bashar;Kanapathippillai Cumanan;Alister G. Burr;Hien Quoc Ngo

  • Providing multimedia communications services from high altitude platforms

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

  • Cell-Free Massive MIMO with Limited Backhaul

    Manijeh Bashar;Kanapathippillai Cumanan;Alister G. Burr;Hien Quoc Ngo

  • Energy Efficiency of the Cell-Free Massive MIMO Uplink With Optimal Uniform Quantization

    Manijeh Bashar;Kanapathippillai Cumanan;Alister G. Burr;Hien Quoc Ngo

  • Turbo-codes: the ultimate error control codes?

    A. Burr

  • Beamforming Techniques for Nonorthogonal Multiple Access in 5G Cellular Networks

    Faezeh Alavi;Kanapathippillai Cumanan;Zhiguo Ding;Alister G. Burr

  • Exploiting Deep Learning in Limited-Fronthaul Cell-Free Massive MIMO Uplink

    Manijeh Bashar;Ali Akbari;Kanapathippillai Cumanan;Hien Quoc Ngo

  • Iterative carrier phase recovery suited to turbo-coded systems

    Li Zhang;A.G. Burr

  • Uplink Spectral and Energy Efficiency of Cell-Free Massive MIMO With Optimal Uniform Quantization

    Manijeh Bashar;Hien Quoc Ngo;Kanapathippillai Cumanan;Alister G. Burr

  • Layered Design of Hierarchical Exclusive Codebook and Its Capacity Regions for HDF Strategy in Parametric Wireless 2-WRC

    J. Sykora;A. Burr

  • Energy Efficient Beamforming Design for MISO Non-Orthogonal Multiple Access Systems

    Haitham Moffaqq Al-Obiedollah;Kanapathippillai Cumanan;Jeyarajan Thiyagalingam;Alister G. Burr

  • Robust Beamforming Techniques for Non-Orthogonal Multiple Access Systems with Bounded Channel Uncertainties

    Faezeh Alavi;Kanapathippillai Cumanan;Zhiguo Ding;Alister G. Burr

  • On the Performance of Cell-Free Massive MIMO Relying on Adaptive NOMA/OMA Mode-Switching

    Manijeh Bashar;Kanapathippillai Cumanan;Alister G. Burr;Hien Quoc Ngo

  • Signal detection for orthogonal space-time block coding over time-selective fading channels: a PIC approach for the G/sub i/ systems

    F.-C. Zheng;A.G. Burr

  • Effect of HF broadcast interference on powerline telecommunications above 1 MHz

    A.G. Burr;D.M.W. Reed;P.A. Brown

Frequent Co-Authors

David Grace
David Grace University of York
Lingyang Song
Lingyang Song Peking University
Hien Quoc Ngo
Hien Quoc Ngo Queen's University Belfast
Zhiguo Ding
Zhiguo Ding Nanyang Technological University
Octavia A. Dobre
Octavia A. Dobre Memorial University of Newfoundland
Merouane Debbah
Merouane Debbah Khalifa University
R.C. de Lamare
R.C. de Lamare Pontifical Catholic University of Rio de Janeiro
Katsuyuki Haneda
Katsuyuki Haneda Aalto University
Erik G. Larsson
Erik G. Larsson Linköping University
Claude Oestges
Claude Oestges Université Catholique de Louvain

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