Sample content image, right-aligned with border Arumugam Nallanathan is Professor of Wireless Communications and the Founding Head of Communication Systems Research (CSR) Group in the  School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL) from September 2017. He was with the Department of Informatics at King's College London from December 2007 to August 2017, where he was Professor of Wireless Communications from April 2013 to August 2017. He was an Assistant Professor in the Department of Electrical and Computer Engineering, National University of Singapore from August 2000 to December 2007. More information at Google Scholar.

Research Interests

  • Technologies for 6G Wireless Networks
  • Artificial Intelligence for Wireless Systems
  • Internet of Things (IoT)


    • Honors and Awards

  • Listed among the Top 20 Electrical and Electronic Engineering Scientists in the U.K, 2023
  • Listed among the Top 50 Global Artificial Intelligence Scholars, 2023
  • Web of Science Highly Cited Researcher, 2022
  • IEEE Communications Society Leonard G. Abraham Prize, 2022
  • Listed among the Top 20 Electrical and Electronic Engineering Scientists in the U.K, 2022
  • Awarded Charted Engineer (CEng), 2022
  • IEEE Fellow, Class of 2017
  • IET Fellow
  • Web of Science Highly Cited Researcher, 2016
  • IEEE Distinguished Lecturer, Communications Society (2020-2023)
  • IEEE Distinguished Speaker, Vehicular Technology Society(2014-2024)
  • Best Paper Award, IEEE Vehicular Technology Conference 2018 (VTC’2018)
  • Best Paper Award, IEEE Global Communications Conference 2017 (GLOBECOM’2017)
  • Best Paper Award, IEEE International Conference on Communications 2016 (ICC’2016)
  • Best of IEEE Global Communications Conference 2014 (GLOBECOM’2014)
  • Guest Editor, IEEE Journal on Selected Areas in Communications (2021,2022)
  • Senior Editor, IEEE Wireless Communications Letters (from 2020)
  • Editor, IEEE Transactions on Communications (2011-2022)
  • Editor, IEEE Signal Processing Letters (2009-2013)
  • Editor, IEEE Transactions on Vehicular Technology (2006-2017)
  • Editor, IEEE Transactions on Wireless Communications (2006-2011)


    • To Prospective Students

    I am looking for self-motivated students who want to pursue a Ph.D degree in [Electronic Engineering and Computer science]. If you have solid background in wireless communications with good mathematical skills, please contact me. More information on the application process and funding opportunities are available here [PhD recruitment].
  • CSC scholarship for Chinese students [More information]
  • HEC scholarship for Pakistani Students [More information]



    • All IEEE publications: “© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”

    Most Recent Journal Publications

      Sensing and Semantic Communication

    1. H. Zhang, X. Liu, K. Long, A. Nallanathan and V.C.M Leung, ‘Distributed Unsupervised Learning for Interference Management in Integrated Sensing and Communication Systems', to appear in IEEE Transactions on Wireless Communications, 2023 [pdf].
    2. M. Liu, M. Yang, Z. Zhang, H. Li, F. Liu, A. Nallanathan and L. Hanzo, ‘Sensing-Communication Coexistence vs. Integration', to appear in IEEE Transactions on Vehicular Technology , 2023 [pdf].
    3. H. Zhang, H. Wang, Y. Li, K. Long and A. Nallanathan, ‘DRL-driven Dynamic Resource Allocation for Task-Oriented Semantic Communication', to appear in IEEE Transactions on Communications, 2023 [pdf].
    4. K. Wang, D. Niyato, W. Chen and A. Nallanathan, 'Task-Oriented Delay-Aware Multi-Tier Computing in Cell-free Massive MIMO Systems', to appear in IEEE Journal on Selected Areas in Communications, 2023 [pdf].
    5. M. Liu, M. Yang, H. Li, K. Zeng, Z. Zhang, A. Nallanathan, G. Wang and L. Hanzo, ‘Performance Analysis and Power Allocation for Cooperative ISAC Networks', IEEE Internet of Things Journal, Vol. 10, No. 7, pp. 6336-6351, April 2023 [pdf].

      6. Machine Learning for Wireless Communications

    6. Z. Chen, W. Yi and A. Nallanathan, ‘Exploring Representativity in Device Scheduling for Wireless Federated Learning', to appear in IEEE Transactions on Wireless Communications, 2023 [pdf].
    7. Z. Chen, W. Yi, Y. Liu and A. Nallanathan, ‘Knowledge-aided Federated Learning for Energy-limited Wireless Networks', to appear in IEEE Transactions on Communications, 2023 [pdf].
    8. Y. Liu, H. Zhou, Y. Deng and A. Nallanathan, 'Channel Access Optimization in Unlicensed Spectrum for Downlink URLLC: Centralized and Federated Approaches', to appear in IEEE Journal on Selected Areas in Communications, 2023 [pdf].
    9. L. Chen, L. Fan, X. Lei, T.Q Duong, A. Nallanathan and G.K Karagiannidis, ‘Relay-Assisted Federated Edge Learning: Performance Analysis and System Optimization', to appear in IEEE Transactions on Communications, 2023 [pdf].
    10. L. He, L. Fan, X. Lei, X. Tang, P. Fan and A. Nallanathan, ‘Learning-based MIMO Detection with Dynamic Spatial Modulation', to appear in IEEE Transactions on Cognitive Communications and Networking, 2023 [pdf].
    11. H. Wang, H. Zhang, X. Liu, K. Long and A. Nallanathan, ‘Joint UAV Placement Optimization, Resource Allocation, and Computation Offloading for THz Band: A DRL Approach', to appear in IEEE Transactions on Wireless Communications , 2023 [pdf].
    12. A. Alajmi, W. Ahsan, M. Fayaz and A. Nallanathan, ‘Intelligent Resource Allocation in Backscatter-NOMA Networks: A Soft Actor Critic Framework', to appear in IEEE Transactions on Vehicular Technology , 2023 [pdf].
    13. S. Tang, L. Chen, K. He, J. Xia, L. Fan and A. Nallanathan, ‘Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT', to appear in IEEE Transactions on Network Science and Engineering , 2023 [pdf].
    14. W. Lu, Y. Mo, Y. Feng, Y. Gao, N. Zhao, Y. Wu and A. Nallanathan, ‘Secure Transmission for Multi-UAV-Assisted Mobile Edge Computing Based on Reinforcement Learning', IEEE Transactions on Network Science and Engineering , Vol. 10, No. 3, pp. 1270-1282, May 2023 [pdf].
    15. Y. Liu, Y. Deng, A. Nallanathan and Y. Juan, ‘Machine Learning for 6G Enhanced Ultra-Reliable and Low-Latency Services', IEEE Wireless Communications , Vol. 30, No. 2, pp. 48-54, April 2023 [pdf].
    16. W. Shen, Z. Qin and A. Nallanathan, ‘Deep Learning for Super-Resolution Channel Estimation in Reconfigurable Intelligent Surface Aided Systems', IEEE Transactions on Communications, Vol. 71, No. 3, pp. 1491-1503, March 2023 [pdf].
    17. Y. Liu, Y. Deng, H. Zhou, M. Elkashlan and A. Nallanathan, ‘Deep Reinforcement Learning-based Grant-Free NOMA Optimization for mURLLC', IEEE Transactions on Communications, Vol. 71, No. 3, pp. 1475-1490, March 2023 [pdf].
    18. Y. Ding, Y. Feng, W. Lu, S. Zheng, N. Zhao, L. Meng, A. Nallanathan and X. Yang, 'Online Edge Learning Offloading and Resource Management for UAV-Assisted MEC Secure Communications', IEEE Journal of Selected Topics in Signal Processing, Vol. 17, No. 1, pp. 54-65, January 2023 [pdf].

      19. Intelligent Reflecting Surface (IRS) Enabled Communications

    19. Y. Omid, S.M Shahabi, C. Pan, Y. Deng and A. Nallanathan, ‘Robust Beamforming Design for an IRS-Aided NOMA Communication System with Channel Uncertainty', to appear in IEEE Transactions on Wireless Communications, 2023 [pdf].
    20. W. Wei, X. Pang, J. Tang, N. Zhao, X. Wang and A. Nallanathan, ‘Secure Transmission Design for Aerial IRS Assisted Wireless Networks', to appear in IEEE Transactions on Communications, 2023 [pdf].
    21. L. Chai, L. Bai, T. Bai, J. Shi and A. Nallanathan, ‘Secure RIS-Aided MISO-NOMA System Design in the Presence of Active Eavesdropping', to appear in IEEE Internet of Things Journal, 2023 [pdf].
    22. J. Bao, Y. Cao, B. Li, N. Zhao, Y. Li and A. Nallanathan, ‘Secrecy Energy Efficiency for Distributed-IRSs Assisted Uplink Networks', to appear in IEEE Transactions on Vehicular Technology , 2023 [pdf].
    23. Y. Su, X. Pang, W. Lu, N. Zhao, X. Wang and A. Nallanathan, ‘Joint Location and Beamforming Optimization for STAR-RIS Aided NOMA-UAV Networks', to appear in IEEE Transactions on Vehicular Technology , 2023 [pdf].
    24. Z. Han, X. Yue, B. Dai, R. Liu and A. Nallanathan, ‘Reconfigurable Intelligent Surface Assisted Unified NOMA Framework', to appear in IEEE Transactions on Vehicular Technology , 2023 [pdf].
    25. S. Lv, Y. Liu, X. Xu and A. Nallanathan, ‘Security Enhancement for STARS with An Untrusted User', to appear in IEEE Wireless Communications Letters, 2023 [pdf].
    26. C. Zhao, X. Pang, W. Lu, Y. Chen, N. Zhao and A. Nallanathan, ‘Energy Efficiency Optimization of IRS-Assisted UAV Networks Based on Statistical Channels', to appear in IEEE Wireless Communications Letters, 2023 [pdf].
    27. Z. Xie, X. Li, M. Zeng, D. Deng, J. Zhang, S. Mumtaz and A. Nallanathan, ‘Resource Allocation for Double IRSs Assisted Wireless Powered NOMA Networks', IEEE Wireless Communications Letters, Vol.12, No.5, pp. 823-827, May 2023 [pdf].

      28. Other Emerging Technologies

    28. D. Bepari, S. Mondal, A. Chandra,R. Shukla, Y. Liu, M. Guizani and A. Nallanathan, ‘A Survey on Applications of Cache-Aided NOMA', to appear in IEEE Communications Surveys and Tutorials, 2023 [pdf].
    29. X. Xu, Y. Xu, W. Zhou and A. Nallanathan, ‘Energy Efficient Resource Allocation for UAV-served Energy Harvesting Supported Cognitive Industrial M2M Networks', to appear in IEEE Wireless Communications Letters, 2023 [pdf].
    30. Y. Qiu, H. Zhang, K. Sun, K. Long and A. Nallanathan, ‘Fog-assisted Blockchain Radio Access Network for Web3', to appear in IEEE Communications , 2023 [pdf].
    31. H. Zhou, Y. Deng and A. Nallanathan, ‘Novel Listen-Before-Talk Access Scheme with Adaptive Backoff Procedure for Uplink Centric Broadband Communication', to appear in IEEE Internet of Things Journal, 2023 [pdf].
    32. W. Zhou, L. Fan, F. Zhou, F. Li, X. Lei, W. Xu and A. Nallanathan, ‘Priority-Aware Resource Scheduling for UAV-Mounted Mobile Edge Computing Networks', to appear in IEEE Transactions on Vehicular Technology , 2023 [pdf].
    33. W. Zhou, J. Xia, F. Zhou, L. Fan, X. Lei, A. Nallanathan and G.K. Karagiannidis, ‘Profit Maximization for Cache-Enabled Vehicular Mobile Edge Computing Networks', to appear in IEEE Transactions on Vehicular Technology , 2023 [pdf].
    34. X. Chen, J. An, Z. Xiong, C. Xing, N. Zhao, F. R Yu and A. Nallanathan, ‘Covert Communications: A Comprehensive Survey', IEEE Communications Surveys and Tutorials, Vol. 25, No. 2, pp. 1173-1198, June 2023 [pdf].
    35. H. Shao, H. Zhang, H. Zhou, J. Wang, N. Wang and A. Nallanathan, ‘A Complexity-Reduced QRD-SIC Detector for Interleaved OTFS', IEEE Transactions on Wireless Communications , Vol. 22, No. 2, pp. 950-960, February 2023 [pdf].
    36. A. Alajmi, M. Fayaz, W. Ahsan and A. Nallanathan, ‘Semi-Centralized Optimization for Energy Efficiency in IoT Networks with NOMA', IEEE Wireless Communications Letters , Vol. 12, No. 2, pp. 366-370, February 2023 [pdf].
    37. K. Wang, J. Jin, Y. Yang, T. Zhang, A. Nallanathan, C. Tellambura and B. Jabbari, 'Task Offloading with Multi-Tier Computing Resources in Next Generation Wireless Networks', IEEE Journal on Selected Areas in Communications, Vol. 41, No. 2, pp. 306-319, February 2023 [pdf].

    Most Recent Conference Publications

    1. Z. Chen, W. Yi, Y. Liu and A. Nallanathan, ‘Convergence Analysis for Wireless Federated Learning with Gradient Recycling', Proc. of IWCMC'23, Marrakesh, Morocco, June 2023.
    2. Y. Omid, M. Shahabi and A. Nallanathan, ‘A Discrete Passive Beamforming Technique for an IRS-aided MISO System with Imperfect CSI', Proc. of IWCMC'23, Marrakesh, Morocco, June 2023.
    3. Z. Chen, W. Yi, A. Nallanathan and Geoffrey Ye Li, ‘Is Partial Model Aggregation Energy-efficient for Federated Learning Enabled Wireless Networks?', Proc. of IEEE ICC'23, Rome, Italy, May 2023.
    4. Z. Chen, W. Yi, Y. Liu and A. Nallanathan, ‘Communication-efficient Federated Learning with Heterogeneous Devices', Proc. of IEEE ICC'23, Rome, Italy, May 2023.
    5. Y. Gong, H. Yao, X. Liu and A. Nallanathan, ‘Privacy-Assisted Computation Offloading Schemes for Satellite-Ground Digital Twin Networks', Proc. of IEEE ICC'23, Rome, Italy, May 2023.
    6. W. Wei, X. Pang, J. Tang, N. Zhao, X. Wang and A. Nallanathan, ‘Joint Placement and Precoding Design for Aerial IRS Aided Secure Communication Networks', Proc. of IEEE ICC'23, Rome, Italy, May 2023.
    7. R. Ma, W. Yang, X. Li, K. An, Z. Lin and A. Nallanathan, ‘Achieving Covert mmWave Communication Against Randomly Distributed Wardens', Proc. of IEEE ICC'23, Rome, Italy, May 2023.
    8. Y. Gong, H. Yao, A. Nallanathan and E. Hossain, ‘Model-Assisted In-Orbit Intelligent Computation for Satellite-Ground Integrated Networks', Proc. of IEEE ICC'23 (Edge5GMN Workshop), Rome, Italy, May 2023.
    9. X. Li, M. Zhang, H. Chen, D-T. Do, S. Mumtaz and A. Nallanathan, ‘Spectral Efficiency of Multi-Pair mMIMO-NOMA UAV-Relaying with Low-Resolution ADCs/DACs', Proc. of IEEE INFOCOM'23 (Dronecom Workshop) , New York, USA, May 2023.
    10. Y. Liu, H. Zhou, Y. Deng and A. Nallanathan, 'DRL-based Channel Access in NR Unlicensed Spectrum for Downlink URLLC', Proc. of IEEE GLOBECOM'22, Rio de Janeiro, Brazil, December 2022.
    11. W. Shen, Z. Qin and A. Nallanathan, 'Deep Learning Enabled Channel Estimation for RIS-Aided Wireless Systems', Proc. of IEEE GLOBECOM'22, Rio de Janeiro, Brazil, December 2022.
    12. Y. Omid, Y. Deng and A. Nallanathan, 'Deep Reinforcement Learning-Based Secure Standalone Intelligent Reflecting Surface Operation', Proc. of IEEE GLOBECOM'22, Rio de Janeiro, Brazil, December 2022.
    13. M. Fayaz, W. Yi, Y. Liu and A. Nallanathan, 'Multi-Agent DRL for Mitigating Power Collisions in SGF-NOMA Systems', Proc. of IEEE GLOBECOM'22, Rio de Janeiro, Brazil, December 2022.
    14. Q. Huang W. Wang, W. Lu, N. Zhao, A. Nallanathan and X. Wang, 'Throughput Maximization for Multi-Cluster NOMA-UAV Networks', Proc. of IEEE GLOBECOM'22, Rio de Janeiro, Brazil, December 2022.
    15. W. Lu, Y. Ding, Y. Feng, G. Huang, N. Zhao, A. Nallanathan and X. Yang 'Dinkelbach-Guided Deep Reinforcement Learning for Secure Communication in UAV-Aided MEC Networks', Proc. of IEEE GLOBECOM'22, Rio de Janeiro, Brazil, December 2022.
    16. M. Liu, M. Yang and A. Nallanathan, 'On the Performance of Uplink and Downlink Integrated Sensing and Communication Systems', Proc. of IEEE GLOBECOM'22 (NGMA Workshop) , Rio de Janeiro, Brazil, December 2022.
    17. C. Shan, J. Shi, H. Zhao, X. Sha, D. Zhang and A. Nallanathan, 'Interference Suppression in Multi-Node Joint Communication-Radar Network', Proc. of IEEE GLOBECOM'22 (6GComm Workshop) , Rio de Janeiro, Brazil, December 2022.
    18. A. Alajmi, M. Fayaz, W. Ahsan and A. Nallanathan, 'Soft Actor Critic Framework for Resource Allocation in Backscatter-NOMA Networks', Proc. of IEEE LATINCOM'22, Rio de Janeiro, Brazil, December 2022.
    19. W. Shen, Z. Qin and A. Nallanathan, 'Federated Learning Enabled Channel Estimation for RIS-Aided Multi-User Wireless Systems', Proc. of IEEE ICC'22, Seoul, Korea, May 2022.
    20. M. Fayaz, W. Yi, Y. Liu and A. Nallanathan, ‘Throughput Optimization for SGF-NOMA via Distributed DRL with Prioritized Experience Replay', Proc. of IEEE ICC'22, Seoul, Korea, May 2022.
    21. Y. Liu, Y. Deng, M. Elkashlan and A. Nallanathan, ‘Cooperative Deep Reinforcement Learning based Grant-Free NOMA Optimization for mURLLC', Proc. of IEEE ICC'22, Seoul, Korea, May 2022.
    22. Y. Liu, Y. Deng, M. Elkashlan, A. Nallanathan and G.K Karagiannidis, ‘Multiple Configured-Grants Optimization in Grant-Free NOMA for mURLLC Service', Proc. of IEEE ICC'22, Seoul, Korea, May 2022.
    23. A. Krayani, N.J. William, A. Alam, L. Marcenaro, Z. Qin, A. Nallanathan and C. Regazzoni, ‘Generalized Filtering with Transport Planning for Joint Modulation Conversion and Classification in AI-enabled Radios', Proc. of IEEE ICC'22, Seoul, Korea, May 2022.
    24. H. Zhang, W. Guan, D. Wang, Q. Song and A. Nallanathan, ‘Demo: AI-Engine Enabled Intelligent Management in B5G/6G Networks', Proc. of IEEE ICC'22, Seoul, Korea, May 2022.

     


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