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Arumugam Nallanathan

Researcher Next ID · RN-036488

Researcher · Computer Science

Queen Mary University of London

London, South Korea

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Accepting doctoral researchersFunding unknown
Works count
1,092
Citation count
34,270
H-index
90
i10-index
464

Research interests

Computer Science
Engineering
Advanced Wireless Communication Technologies
Advanced MIMO Systems Optimization
Wireless Communication Security Techniques
Cooperative Communication and Network Coding
Energy Harvesting in Wireless Networks

Publications

  • Covert Communications: A Comprehensive Survey

    IEEE Communications Surveys & Tutorials · 2023 · https://doi.org/10.1109/comst.2023.3263921

  • Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-Assisted Mobile Edge Computing

    IEEE Transactions on Mobile Computing · 2021 · 10.1109/tmc.2021.3059691

  • Artificial-Noise-Aided Secure MIMO Wireless Communications via Intelligent Reflecting Surface

    IEEE Transactions on Communications · 2020 · 10.1109/tcomm.2020.3024621

  • Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces

    IEEE Transactions on Wireless Communications · 2020 · https://doi.org/10.1109/twc.2020.2990766

  • Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

    IEEE Journal on Selected Areas in Communications · 2020 · https://doi.org/10.1109/jsac.2020.3000802

  • A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels

    IEEE Transactions on Signal Processing · 2020 · 10.1109/tsp.2020.3019666

  • Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing

    IEEE Journal on Selected Areas in Communications · 2020 · 10.1109/jsac.2020.3007035

  • Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems

    IEEE Transactions on Signal Processing · 2020 · 10.1109/tsp.2020.2990098

  • Robust Beamforming Design for Intelligent Reflecting Surface Aided MISO Communication Systems

    IEEE Wireless Communications Letters · 2020 · 10.1109/lwc.2020.3000490

  • Analyzing Grant-Free Access for URLLC Service

    IEEE Journal on Selected Areas in Communications · 2020 · https://doi.org/10.1109/jsac.2020.3018822

  • Robust Transmission Design for Intelligent Reflecting Surface-Aided Secure Communication Systems With Imperfect Cascaded CSI

    IEEE Transactions on Wireless Communications · 2020 · 10.1109/twc.2020.3042828

  • Joint Power and Blocklength Optimization for URLLC in a Factory Automation Scenario

    IEEE Transactions on Wireless Communications · 2019 · 10.1109/twc.2019.2957745

  • Joint Blocklength and Location Optimization for URLLC-Enabled UAV Relay Systems

    IEEE Communications Letters · 2019 · 10.1109/lcomm.2019.2894696

  • Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks

    IEEE Transactions on Wireless Communications · 2019 · 10.1109/twc.2019.2935201

  • Joint Task Assignment and Resource Allocation for D2D-Enabled Mobile-Edge Computing

    IEEE Transactions on Communications · 2019 · 10.1109/tcomm.2019.2903088

  • Residual Transceiver Hardware Impairments on Cooperative NOMA Networks

    IEEE Transactions on Wireless Communications · 2019 · https://doi.org/10.1109/twc.2019.2947670

  • UAV Communications Based on Non-Orthogonal Multiple Access

    IEEE Wireless Communications · 2019 · 10.1109/mwc.2018.1800196

  • Exploiting Full/Half-Duplex User Relaying in NOMA Systems

    IEEE Transactions on Communications · 2017 · 10.1109/tcomm.2017.2749400

  • Optimal User Scheduling and Power Allocation for Millimeter Wave NOMA Systems

    IEEE Transactions on Wireless Communications · 2017 · 10.1109/twc.2017.2779504

  • Nonorthogonal Multiple Access for 5G and Beyond

    Proceedings of the IEEE · 2017 · https://doi.org/10.1109/jproc.2017.2768666

  • Non-Orthogonal Multiple Access in Large-Scale Heterogeneous Networks

    IEEE Journal on Selected Areas in Communications · 2017 · 10.1109/jsac.2017.2726718

  • On the Security of Cognitive Radio Networks

    IEEE Transactions on Vehicular Technology · 2014 · https://doi.org/10.1109/tvt.2014.2358624

  • Wideband spectrum sensing for cognitive radio networks: a survey

    IEEE Wireless Communications · 2013 · https://doi.org/10.1109/mwc.2013.6507397

  • Performance Analysis of Two Hop Amplify-and-Forward Systems with Interference at the Relay

    IEEE Communications Letters · 2010 · https://doi.org/10.1109/lcomm.2010.08.100109

  • Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity

    IEEE Transactions on Wireless Communications · 2009 · https://doi.org/10.1109/twc.2009.071448

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

    IEEE Transactions on Signal Processing · 2008 · 10.1109/tsp.2008.2009025

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

    IEEE Transactions on Wireless Communications · 2008 · 10.1109/twc.2008.070118

Current projects

    No projects listed.