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

  • Artificial Intelligence for Wireless Systems
  • 5G and Beyond Wireless Networks
  • Internet of Things (IoT)
  • Molecular Communications


  • Honors and Awards

  • Listed among the World's Top 2% Scientists by Stanford University, 2020
  • AI 2000 Internet of Things Most Influential Scholar, 2020
  • IEEE Fellow, Class of 2017
  • IET Fellow
  • Web of Science Highly Cited Researcher, 2016
  • IEEE Distinguished Lecturer, Communications Society (2020-2022)
  • IEEE Distinguished Speaker, Vehicular Technology Society(2014-2021)
  • 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)
  • Senior Editor, IEEE Wireless Communications Letters (from 2020)
  • Editor, IEEE Transactions on Communications (from 2011)
  • 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].
  • IDB Merit Scholarship for students from OIC countries [More information]
  • HEC scholarship for Pakistani Students [More information]
  • CSC scholarship for Chinese 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

    1. X. Chen, W. Sun, C. Xing, N. Zhao, Y. Chen, F.R Yu and A. Nallanathan, 'Multi-Antenna Covert Communication via Full-Duplex Jamming Against a Warden With Uncertain Locations', to appear in IEEE Trans. on Wireless Communications, 2021 [pdf].
    2. W. Ahsan, W. Yi, Z. Qin, Y. Liu and A. Nallanathan, 'Resource Allocation in Uplink NOMA-IoT Networks: A Reinforcement-Learning Approach', to appear in IEEE Trans. on Wireless Communications, 2021 [pdf].
    3. T. Bai, C. Pan, H. Ren, Y. Deng, M. Elkashlan and A. Nallanathan, 'Resource Allocation for Intelligent Reflecting Surface Aided Wireless Powered Mobile Edge Computing in OFDM Systems', to appear in IEEE Trans. on Wireless Communications, 2021 [pdf].
    4. L. He, K. He, L. Fan, Y. Deng, G.K Karagiannidis and A. Nallanathan, 'Learning Based Signal Detection for MIMO Systems with Unknown Noise Statistics', to appear in IEEE Trans. on Communications, 2021 [pdf].
    5. H. Zhou, C. She, Y. Deng, M. Dohler and A. Nallanathan, ''Machine Learning for Massive Industrial Internet of Things'', to appear in IEEE Wireless Communications Magazine, 2021 [pdf].
    6. W. Zhou, L. Xing, J. Xia, L. Fan and A. Nallanathan, 'Dynamic Computation Offloading for MIMO Mobile Edge Computing Systems with Energy Harvesting', to appear in IEEE Trans. on Vehicular Technology, 2021 [pdf].
    7. L. Wang, K. Wang, C. Pan, W. Xu, N. Aslam and A. Nallanathan, 'Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing', to appear in IEEE Trans. on Mobile Computing, 2021 [pdf].
    8. Z. Du, Y. Deng, W. Guo, A. Nallanathan and Q. Wu, ‘Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge', to appear in IEEE Vehicular Technology Magazine, 2021. [pdf].
    9. T. Zhang, J. Lei, Y. Liu, C. Feng and A. Nallanathan, ‘Trajectory Optimization for UAV Emergency Communication with Limited User Equipment Energy: A safe-DQN Approach', to appear in IEEE Transactions on Green Communications and Networking, 2021 [pdf].
    10. L. Xu, H. Xing, Y. Deng, A. Nallanathan and Zhuansun, ‘Fairness-Aware Throughput Maximization for Underlaying Cognitive NOMA Networks', to appear in IEEE Systems Journal, 2021 [pdf].
    11. N. Jiang, Y. Deng and A. Nallanathan, ‘Traffic Prediction and Random Access Control Optimization: Learning and Non-learning based Approaches', IEEE Communications Magazine, Vol. 59, No. 3, pp. 16-22, May 2021. [pdf].
    12. Y. Omid, S. Shahabi, C. Pan, Y. Deng and A. Nallanathan, ‘Low-Complexity Robust Beamforming Design for IRS-Aided MISO Systems with Imperfect Channels', IEEE Communications Letters, Vol. 25, No. 5, pp. 1697-1701, May 2021. [pdf].
    13. S. Hong, C. Pan, H. Ren, K. Wang, K.K Chai and A. Nallanathan, 'Robust Transmission Design for Intelligent Reflecting Surface Aided Secure Communication Systems with Imperfect Cascaded CSI', IEEE Trans. on Wireless Communications, Vol. 20, No. 4, pp. 2487-25,01, April 2021 [pdf].
    14. W. Yi, Y. Liu and A. Nallanathan, ‘Signal Fractions Analysis and Safety-Distance Modeling in V2V Inter-lane Communications', IEEE Communications Letters, Vol. 25, No. 4, pp. 1387-1390, April 2021 [pdf].
    15. Y. Liu, Y. Deng, M. Elkashlan, A. Nallanathan, J. Yuan and R.K Mallik 'RACH in Self-Powered NB-IoT Networks: Energy Availability and Performance Evaluation', IEEE Trans. on Communications, Vol. 69, No. 3, pp. 1750-1764, March 2021 [pdf].
    16. N. Jiang, Y. Deng, A. Nallanathan and J. Yuan 'A Decoupled Learning Strategy for Massive Access Optimization in Cellular IoT Networks', IEEE Journal on Selected Areas in Communications, Vol. 39, No. 3, pp. 668-685, March 2021 [pdf].
    17. Y. Liu, Y. Deng, M. Elkashlan, A. Nallanathan and G.K Karagiannidis 'Analyzing Grant-Free Access for URLLC Service', IEEE Journal on Selected Areas in Communications, Vol. 39, No. 3, pp. 741- 755, March 2021 [pdf].
    18. T. Bai, H. Zhang, J. Wang, C. Xu, M. Elkashlan, A. Nallanathan and L. Hanzo, 'Fifty Years of Noise Modeling and Mitigation in Power-Line Communications', IEEE Communications Surveys and Tutorials, Vol. 23, No. 1, pp. 41-69, March 2021 [pdf].
    19. C. Li, J. Xia, F. Liu, D. Li, L. Fan, G.K Karagiannidis and A. Nallanathan, 'Dynamic Offloading for Multiuser Muti-CAP MEC Networks: A Deep Reinforcement Learning Approach', IEEE Trans. on Vehicular Technology, Vol. 70, No. 3, pp. 2922-2927, March 2021 [pdf].
    20. T. Bai, C. Pan, J. Wang Y. Deng, M. Elkashlan, A. Nallanathan and L. Hanzo, 'Dynamic Aerial Base Station Placement for Minimum-Delay Communications', IEEE Internet of Things Journal, Vol. 8, No. 3, pp. 1623-1635, February 2021 [pdf].
    21. K. Wang, C. Pan, H. Ren, W. Xu, L. Zhang and A. Nallanathan, 'Packet Error Probability and Effective Throughput for Ultra-reliable and Low-latency UAV Communications', IEEE Trans. on Communications, No. 1, Vol. 69, pp. 73-84, January 2021 [pdf].
    22. J. Xia, L. Fan, N. Yang, Y. Deng, T.Q Duong, G.K Karagiannidis and A. Nallanathan, 'Opportunistic Access Point Selection for Mobile Edge Computing Networks', IEEE Trans. on Wireless Communications, Vol. 20, No. 1, pp. 695-709, January 2021 [pdf].
    23. Y. Liu, Y. Deng, N. Jiang, M. Elkashlan and A. Nallanathan, 'Analysis of Random Access in NB-IoT Networks with Three Coverage Enhancement Groups: A Stochastic Geometry Approach', IEEE Trans. on Wireless Communications, Vol. 20, No. 1, pp. 549-564, January 2021 [pdf].

    Most Recent Conference Publications

    1. H. Ren, C. Pan, Y. Deng, M. Elkashlan and A. Nallanathan, ‘Transmit Power Minimization for Secure Short-packet Transmission in a Mission-Critical IoT Scenario', to appear in Proc. of IEEE GLOBECOM'20, Taipei, Taiwan, December 2020.
    2. G. Zhou, C. Pan, H. Ren, K. Wang and A. Nallanathan, ‘Outage Constrained Transmission Design for IRS-aided Communications with Imperfect Cascaded Channels', to appear in Proc. of IEEE GLOBECOM'20, Taipei, Taiwan, December 2020.
    3. S. Hong, C. Pan, H. Ren, K. Wang, A. Nallanathan and H. Li, ‘Robust Transmission Design for Intelligent Reflecting Surface Aided Secure Communications', to appear in Proc. of IEEE GLOBECOM'20, Taipei, Taiwan, December 2020.
    4. L. Zhang, C. Pan, Y. Wang, H. Ren, K. Wang and A. Nallanathan, ‘Robust Beamforming Optimization for Intelligent Reflecting Surface Aided Cognitive Radio Networks', to appear in Proc. of IEEE GLOBECOM'20, Taipei, Taiwan, December 2020.
    5. N. Jiang, Y. Deng and A. Nallanathan, ‘Deep Reinforcement Learning for Discrete and Continuous Massive Access Control Optimization', Proc. of IEEE ICC'20, Dublin, Ireland, June 2020.
    6. Y. Wang, C. Feng, T. Zhang, Y. Liu and A. Nallanathan, ‘QoE Based Network Deployment and Caching Placement for Cache-Enabling UAV Networks', Proc. of IEEE ICC'20, Dublin, Ireland, June 2020.
    7. H. Zhang, T. Zhang, K. Long, A. Nallanathan and V.C.M Leung, ‘Resource Allocation for Energy Efficient NOMA UAV Network under Imperfect CSI', Proc. of IEEE ICC'20, Dublin, Ireland, June 2020.
    8. W. Ahsan, W. Yi, Y. Liu, Z. Qin and A. Nallanathan, ‘Reinforcement Learning for User Clustering in NOMA-enabled Uplink IoT', Proc. of IEEE ICC'20 (NOMA5G Workshop), Dublin, Ireland, June 2020.

     


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