About Me

Dr. Zhijin Qin received her B.S. degree from Beijing University of Posts and Telecommunications in 2012, and the Ph.D. degree on Electronic Engineering from Queen Mary University of London (QMUL) in 2016. She was a Postdoctoral Research Associate at Imperial College London from 2016 to 2017, and then a Lecturer at Lancaster University from 2017 to 2018. Since 2018, she has been a Lecturer with the School of Electronic Engineering and Computer Science at QMUL.

Her research interest includes deep learning enabled semantic communications, end-to-end communications, deep compressive sensing, intelligent resource allocation in various applications, such as UAV communications and reconfigurable intelligent surface. She is serving as an area editor of IEEE JSAC Series on Communications and Networks, an associate editor of IEEE Transactions on Communications, IEEE Communications Letters, and IEEE Transactions on Cognitive Communications and Networking. She has served as the track-chair for IEEE VTC fall 2019, IEEE GLOBECOM 2020.

Zhijin's Google Scholar Page.

Semantic Communications

Compressive Sensing

Internet of Things

Intellignet Applications

News

News

PhD Scholarship

I'm always looking for self-motivated students who want to pursue a Ph.D degree in Electronic Engineering and Computer science [Research Video]. If you are with a solid background in wireless communications/computer science and a strong grounding in machematical skills, please drop me an email with your CV. More information on the application process and funding opportunities is available [Applying for a PhD].

  1. Various full scholarships from the school are avaialble, apply by 31st Jan. 2021. Please send me an email for more information
  2. CSC scholarship for Chinese students [More information].
  3. Pakistan HEC-QMUL PhD Scholarships [More information].
  4. CONACyT Scholarships [More information].

News

  1. [Dec. 2020] I am giving a tutorial on semantic communication systems at IEEE GLOBECOM 2020. Click for more details.
  2. [Nov. 2020] Our work on distributed semantic communications is accepted by IEEE JSAC. Click for more details.
  3. [Aug. 2020] Five papers from the group have been accepted by IEEE GLOBECOM 2020.
  4. [Nov. 2019] Our new book "Non-Orthogonal Multiple Access for Massive Connectivity" is published.
  5. [Mar. 2019] The best reading in ``Machine Learning in Communications'' is released!
  6. [Jan. 2019] A full scholarship is available on ``deep learning for signal processing and wireless communications'' to start in 2019, apply it now!
  7. [Jan. 2019] Zhijin Qin received 2018 IEEE Signal Processing Society Young Author Best Paper Award for the paper co-authored with Yue Gao, Mark D. Plumbley, and Clive G. Parini, for "Wideband Spectrum Sensing on Real-Time Signals at Sub-Nyquist Sampling Rates in Single and Cooperative Multiple Nodes", IEEE Transactions on Signal Processing, vol. 64, no. 12, June 2016.
  8. [Dec. 2018] We are organizing the 5th IEEE WCNC International Workshop on Smart Spectrum, extended deadline 30th Jan. 2019.
  9. [Jul. 2018] Our recent overview on ``Deep learning in physical layer communications'' is avaiable.
  10. [10/10/2018] Our paper ``Low-power wide-area networks for sustainable IoT'' has been accepted by IEEE Wireless Commun., available here.
  11. [05/10/2018] Our paper ``UAV based on non-orthogonal multiple access'' has been accepted by IEEE Commun. Mag., available here.
What I do?

Here are some of my research expertise

Semantic Communication

Intelligent wireless communications at semantic level

Compressive Sensing

Sparse signal receovery and detection with sub-Nyquist sampling

Intelligent Applications

Intelligent resource allocation for applications: UAV and RIS

Internet of Things

Low-power wide-area networks in smart cities and smart agriculture

Publication

Publication

  1. H. Xie, Z. Qin, G. Y. Li, and B.-H. Juang, "Deep learning enabled semantic communication systems," IEEE Trans. Signal Process., accepted, 2021.
  2. H. Xie and Z. Qin, "A lite distributed semantic communication system for Internet of Things," IEEE J. Sel. Areas Commun., vol. 39, no. 1, pp. 142-153, Jan. 2021.
  3. F. Benkhelifa, Z. Qin and J. A. McCann, "User fairness in energy harvesting-based LoRa networks with imperfect SF orthogonality," IEEE Trans. Commun., 2021.
  4. Y. Guo, Z. Qin, Y. Liu and N. Al-Dhahir, "Intelligent reflecting surface aided multiple access over fading channels," IEEE Trans. Commun., vol. 69, no. 3, pp. 2015-2027, Mar. 2021.
  5. Z. Ji, A. K. Kiani, Z. Qin and R. Ahmad, "Power optimization in device-to-device communications: A deep reinforcement learning approach with dynamic reward," IEEE Wireless Commun. Lett., vol. 10, no. 3, pp. 508-511, Mar. 2021.
  6. P. Liang, J. Fan, W. Shen, Z. Qin and G. Y. Li, "Deep learning and compressive sensing-based CSI feedback in FDD massive MIMO systems," IEEE Trans. Veh. Tech., vol. 69, no. 8, pp. 9217-9222, Aug. 2020
  7. B. Su, Z. Qin, and Q. Ni, "Energy efficient uplink transmissions in LoRa networks," IEEE Trans. Commun., vol. 68, no. 8, pp. 4960-4972, Aug. 2020.
  8. Z. Qin and G. Y. Li, "Pathway to Intelligent Radio", IEEE Wireless Commun., vol. 27, no. 1, pp. 9-15, Feb. 2020.
  9. N. Gao, Z. Qin, X. Jing, Q. Ni and S. Jin, "Anti-intelligent UAV jamming strategy via deep Q-networks", IEEE Trans. Commun., vol. 68, no. 1, pp. 569-581, Jan. 2020.
  10. Z. Qin, X. Zhou, L. Zhang, Y. Gao, Y. Liang and G. Y. Li, "20 years of evolution from cognitive to intelligent communications," IEEE Trans. Cognitive Commun. Netw., vol. 6, no. 1, pp. 6-20, Mar. 2020.
  11. Z. Qin, Y. Liu, G. Y. Li, and J. A. McCann, "Performance analysis of clustered LoRa networks'', IEEE Trans. Veh. Tech., vol. 68, no. 8, pp. 7616-7629, Aug. 2019.
  12. F. Cui, Y. Cai, Z. Qin, M. Zhao, and G. Y. Li, "Multiple access for mobile-UAV enabled networks: Joint trajectory design and resource allocation'', IEEE Trans. Commun., vol. 67, no. 7, pp. 4980-4994, Jul. 2019.
  13. Z. Qin, F. Y. Li, G. Y. Li, Q. Ni, and J. A. McCann, "Low-power wide-area networks for sustainable IoT'', IEEE Wireless Commun., vol. 26, no. 3, pp. 140-145, Jun. 2019.
  14. N. Gao, Z. Qin, and J. Jing, "Pilot contamination attack detection and defense strategy in wireless communications", IEEE Signal Process. Lett., vol. 26, no. 6, pp. 938-942, Jun. 2019.
  15. X. Liu, Z. Qin, Y. Gao, and J. A. McCann, "Resource allocation in wireless powered LoRa networks'', IEEE Internet Things J., vol. 6, no. 3, pp. 4935-4945, Jun. 2019.
  16. F. Cui, Z. Qin, Y. Cai, M. Zhao, and G. Y. Li, "Rethinking outage constraints for resource management in NOMA networks", IEEE J. Sel. Topics Signal Process., vol. 13, no. 3, pp. 423-435, Jun. 2019.
  17. Q. Hu, Y. Cai, G. Yu, Z. Qin, M. Zhao and G. Y. Li, "Joint offloading and trajectory design for UAV-enabled mobile edge computing systems," IEEE Internet Things J., vol. 6, no. 2, pp. 1879-1892, Apr. 2019. (Web of Science highly cited paper)
  18. Z. Qin, H. Ye, G. Y. Li, and B. F. Juang, "Deep learning in physical layer communications,'' IEEE Wireless Commun., vol. 26, no. 2, pp. 93-99, Apr. 2019. (Web of Science hot paper, Top 2 most downloaded paper in WC in 2019)
  19. Y. Liu, Z. Qin, Y. Cai, Y. Gao, G. Y. Li, and A. Nallanathan, "UAV based on non-orthogonal multiple access'', IEEE Commun. Mag., ol. 26, no. 1, pp. 52-57, Feb. 2019.
  20. X. Yue, Z. Qin, Y. Liu, Y. Chen and S. Kang, "A unified framework for non-orthogonal multiple access'', IEEE Trans. Commun., vol. 66, no. 11, pp. 5346-5359, Nov. 2018.
  21. Z. Qin, X. Yue, Y. Liu, Z. Ding and A. Nallanathan, "User association and resource allocation in unified NOMA enabled heterogeneous ultra dense networks", IEEE Commun. Mag., vol. 56, no. 6, pp. 86-92, Jun. 2018.
  22. Z. Qin, J. Fan, Y. Liu, Y. Gao and G. Y. Li, "Sparse representation for wireless communications: A compressive sensing approach'', IEEE Signal Process. Mag., vol. 35, no. 3, pp. 40-58, May 2018.
  23. Y. Cai, Z. Qin, F. Cui, G. Y. Li and J. A. McCann, "Modulation and multiple access for 5G networks'', IEEE Commun. Surveys Tuts., vol. 20, no. 1, pp. 629-646, First quarter 2018. (Web of Science highly cited paper, 7th most popular article of IEEE Commun. Surveys Tuts., Mar. 2018)
  24. Y. Liu, Z. Qin, M. Elkashlan, A. Nallanathan and J. A. McCann, "Non-orthogonal multiple access in large-scale heterogeneous networks", IEEE J. Sel. Areas Commun., vol. 35, no. 12, pp. 2667-2680, Dec. 2017.
  25. Y. Liu, Z. Qin, M. Elkashlan, Z. Ding, A. Nallanathan and L. Hanzo, "Nonorthogonal multiple access for 5G and beyond", Proc. IEEE, vol. 105, no. 12, pp. 2347-2381, Dec. 2017. (Web of Science highly cited paper, 9th most popular article of Proc. IEEE, Dec. 2017)
  26. Z. Qin, Y. Gao and M. Plumbley, "Malicious user detection based on low-rank matrix completion in cooperative spectrum sensing", IEEE Trans. Signal Process., vol. 66, no. 1, pp. 5-17, Jan. 2018. (6th most popular article of TSP, Nov. 2017)
  27. Z. Qin, Y. Liu, Y. Gao, M. Elkashlan and A. Nallanathan, "Wireless powered cognitive radio networks with compressive sensing and matrix completion", IEEE Trans. Commun., vol. 65, no. 4, pp.1464 - 1476, Apr. 2017.
  28. Y. Gao, Z. Qin, Z. Feng, Q. Zhang, O. Holland and M. Dohler, "Scalable & reliable IoT enabled by dynamic spectrum management for M2M in LTE-A", IEEE Internet of Things Journal, vol. 3, no. 6, pp. 1135-1145, Dec. 2016. (9th most popular article of IoT, Jan. 2017)
  29. Y. Liu, Z. Qin, M. Elkashlan, Y. Gao and L. Hanzo, "Enhancing the physical layer security of non-orthogonal multiple access in large-scale networks", IEEE Trans. Wireless Commun., vol. 16, no. 3, pp. 1656-1672, Mar. 2017. (Web of Science hot paper, 5th most popular article of TWC, Mar. 2017)
  30. Z. Qin, Y. Gao, M. Plumbley and C. Parini, "Wideband spectrum sensing on real-time signals at sub-Nyquist sampling rates in single and cooperative multiple nodes", IEEE Trans. Signal Process., vol. 64, no. 12, pp. 3106-3117, Jun. 2016. (2018 IEEE SPS Young Author Best Paper Award, Web of Science highly cited paper, 9th most popular article of TSP, Jan. 2016)
  31. Z. Qin, Y. Gao and C. Parini, "Data-assisted low complexity compressive spectrum sensing on real-time signals under sub-Nyquist rate", IEEE Trans. Wireless Commun., pp.1174-1185, Feb. 2016. (Web of Science highly cited paper, 11th most popular article of TWC, Feb. 2016)
  1. Z. Weng, Z. Qin, and G. Y. Li, "Semantic communications for speech signals", in Proc. IEEE Int. Conf. Commun. (ICC'21), 2021, to appear.
  2. Z. Ji and Z. Qin, "Reconfigurable intelligent surface enhanced device-to-device communications", in Proc. IEEE Global Telecom. Conf. (GLOBECOM'20), 2020, to appear.
  3. Y. Guo, Z. Qin, Y. Liu, N. Al-Dhahir, "Intelligent reflecting surface assisted NOMA over fading channels", in Proc. IEEE Global Telecom. Conf. (GLOBECOM'20), 2020, to appear.
  4. H. Xie, Z. Qin, G. Y. Li and B. F. Juang, "Deep learning based semantic communications: An initial investigation", in Proc. IEEE Global Telecom. Conf. (GLOBECOM'20), 2020, to appear.
  5. J. Zuo, Y. Liu, Z. Qin and C. Shen, "The application of intelligent reflecting surface in downlink NOMA systems," in Proc. IEEE Intl. Conf. Commun. Workshops (ICC Workshops'2020 ), Dublin, Ireland, 2020, pp. 1-6.
  6. Y. Qi, Z. Yang, Z. Qin, Y. Liu, and Y. Chen, "Big data prediction in location-aware wireless caching: A machine learning approach'', in Proc. IEEE Global Telecom. Conf. (GLOBECOM'19), Waikoloa, HI, USA, 2019, pp. 1-6.
  7. J. Wang, Y. Liu, Z. Qin, Z. Chen, and Y. Liu, "Subchannel assignment and power allocation for NOMA in spatial modulation systems'', in Proc. IEEE Global Telecom. Conf. (GLOBECOM'19), Waikoloa, HI, USA, 2019, pp. 1-6.
  8. F. Cui, Z. Qin, Y. Cai, M. Zhao, and G. Y. Li, "Resource allocation for NOMA networks under alternative outage constraints'', in Proc. IEEE Veh. Technol. Conf. (VTC-Autumn'19), Shanghai, China, May 2019, pp. 1-6.
  9. F. Benkhelifa, Z. Qin, and J. A. McCann, "Minimum throughput maximization in LoRa networks powered by ambient energy harvesting", in Proc. IEEE Int. Conf. Commun. (ICC'19), Shanghai, China, May 2019, pp. 1-7.
  10. N. Gao, Z. Qin, Q. Ni, and X. Jing, "Anti-Intelligent UAV Jamming Strategy via Deep Q-Networks", in Proc. IEEE Int. Conf. Commun. (ICC'19), Shanghai, China, May 2019, pp. 1-6.
  11. X. Liu, Z. Qin, and Y. Gao, "Resource allocation for edge computing in IoT networks via reinforcement learning", in Proc. IEEE Int. Conf. Commun. (ICC'19), Shanghai, China, May 2019, pp. 1-6.
  12. L. Hadley, Z. Ding, and Z. Qin, "Capacity Analysis of Asymmetric Multi-Antenna Relay Systems using Free Probability Theory", in Proc. IEEE Veh. Technol. Conf. (VTC-Spring'19), Kuala Lumpur, Malaysia, May 2019, pp. 1-5.
  13. B. Su, Z. Qin, and Q. Ni, "Energy efficient resource allocation for uplink LoRa networks", in Proc. IEEE Global Telecom. Conf. (GLOBECOM'18), Abu Dhabi, UAE, Dec. 2018, pp. 1-6.
  14. F. Cui, Y. Cai, Z. Qin, Q. Shi, M. Zhao and G. Y. Li, "Joint trajectory design and power allocation for UAV-enabled non-orthogonal multiple access systems", in Proc. IEEE Global Telecom. Conf. (GLOBECOM'18), Abu Dhabi, UAE, Dec. 2018, pp. 1-7.
  15. F. Shi, Z. Qin, D. Wu and J. A. McCann, "MPCSToken: Smart contract enabled fault-tolerant incentivisation for mobile P2P crowd service", in Proc. IEEE Intl. Conf. Distributed Comput. Syst. (ICDCS'18), Vienna, Jul. 2018, pp. 961-971
  16. F. Shi, Z. Qin and J. A. McCann, "EventMe: Location-based event content distribution through human centric device-to-device communications", in Proc. IEEE Int. Conf. Commun. (ICC'18), Kansas City, MO, May 2018, pp. 1-6.
  17. X. Yue, Z. Qin, Y. Liu, X. Dai and Y. Chen, ``Outage performance of a unified non-orthogonal multiple access framework", in Proc. IEEE Int. Conf. Commun. (ICC'18), Kansas City, MO, May 2018, pp. 1-6.
  18. Z. Qin and J. A. McCann, "Resource efficiency in low-power wide-area networks for IoT applications", in Proc. IEEE Global Telecom. Conf. (GLOBECOM'17), Singapore, Dec. 2017, pp.1-7. (Best Paper Award)
  19. G. Jackson, Z. Qin and J. A. McCann, "Long term sensing via battery health adaptation", in Proc. IEEE Intl. Conf. Distributed Comput. Syst. (ICDCS'17), Atlanta, GA, Jun. 2017, pp. 2240-2245.
  20. F. Shi, Z. Qin and J. A. McCann, "OPPay: Design and implementation of a payment system for opportunistic data services", in Proc. IEEE Intl. Conf. Distributed Comput. Syst. (ICDCS'17), Atlanta, GA, Jun. 2017, pp. 1618-1628.
  21. Z. Qin, Y. Liu, G. Y. Li and J. A. McCann, "Modelling and analysis of low-power wide-area networks", in Proc. IEEE Intel. Conf. Commun. (ICC'17), Paris, France, May 2017, pp. 1-7.
  22. M. Haghighi, Z. Qin, D. Carboni, U. Adeel, F. Shi and J. A. McCann, "Game theoretic and auction-based algorithms towards opportunistic communications in LPWA LoRa networks," in Proc. IEEE World Forum on Internet of Things (WF-IoT'16), Reston, VA, Dec. 2016, pp. 735-740.
  23. Y. Liu, Z. Qin, M. Elkashlan, Y. Gao and A. Nallanathan, "Non-orthogonal multiple access in massive MIMO aided heterogeneous networks", in Proc. IEEE Global Telecom. Conf. (GLOBECOM'16), Washington, DC, Dec. 2016, pp. 1-6.
  24. Y. Gao, Z. Qin, "Implementation of compressive sensing with real-time signals over TV white space spectrum in cognitive radio", in Proc. IEEE Veh. Technol. Conf. (VTC-Fall'16), Montreal, Canada, Sep. 2016, pp. 1-5.
  25. O. Holland, S. Wong, Z. Qin and Y. Gao, "Virtualized VHF/UHF transmission paired with mobile access for the Tactile Internet", in Proc. Intl. Conf. Telecom. (ICT'16), Thessaloniki, May 2016, pp. 1-5.
  26. Z. Qin, Y. Liu, Z. Ding, Y. Gao and M. Elkashlan, "Physical layer security for 5G non-orthogonal multiple access in large-scale networks", in Proc. IEEE Intl. Conf. Commun. (ICC'16), Kuala Lumpur, 2016, pp. 1-6.
  27. Z. Qin, Y. Liu, Y. Gao, M. Elkashlan and A. Nallanathan, "Throughput analysis for compressive spectrum sensing with wireless power transfer", in Proc. IEEE Global Telecom. Conf. (GLOBECOM'15), San Diego, CA, Dec. 2015, pp.1-6.
  28. O. Holland, S. Ping, A. Aijaz, J. Chareau, P. Chawdhry, Y. Gao, Z. Qin, and H. Kokkinen, "To white space or not to white space: That is the trial within the Ofcom TV white spaces pilot", in Proc. IEEE Intl. Symp. Dynamic Spectrum Access Netw. (DYSPAN'15), Stockholm, Sweden, Sep. 2015, pp.11 - 22.
  29. O. Holland et al., ``Some Initial results and observations from a series of trials within the Ofcom TV white spaces pilot", in Proc. IEEE Veh. Technol. Conf. (VTC-Spring'15), Glasgow, UK, May 2015, pp.1-7.
  30. Z. Qin, L. Wei, Y. Gao and C. Parini, "Compressive spectrum sensing augmented by geo-location database", in Proc. IEEE Wireless Commun. Netw. Conf. Workshops (WCNC'15), New Orleans, Mar. 2015, pp.170-175.
  31. X. Zhang, Z. Qin and Y. Gao, "Dynamic adjustment of sparsity upper bound in wideband compressive spectrum sensing", in Proc. IEEE Global Conf. Signal Info. Process. (GlobalSIP'14), Atlanta, GA, Dec. 2014, pp. 1214-1218.
  32. Z. Qin, Y. Gao, M. Plumbley, and C. Parini, "Efficient compressive spectrum sensing algorithm for M2M devices", in Proc. IEEE Global Conf. Signal Info. Process. (GlobalSIP'14), Atlanta, GA, Dec. 2014, pp. 1170-1174.
  33. Z. Qin, Y. Gao, M. Plumbley, C. Parini, and L. Cuthbert, "Low-rank matrix completion based malicious user detection in cooperative spectrum sensing", in Proc. IEEE Global Conf. Signal Info. Process. (GlobalSIP'13), Austin, TX, Dec. 2013, pp.1186-1189.
  34. Z. Qin, N. Wang, Y. Gao, and L. Cuthbert, "Adaptive threshold for energy detector based on discrete wavelet packet transform", in Proc. Wireless Technol. Symp. (WPS'12), London, U.K., April 2012, pp.1-5. (Best Paper Award)
Activities

Activities

Editorship

  • Area Editor, IEEE JSAC on Machine Learning for Communications and Networks
  • Associate Editor, IEEE Transactions on Communications
  • Associate Editor, IEEE Transactions on Cognitive Communications and Networking
  • Associate Editor, IEEE Communications Letters
  • Track co-chair

  • IEEE Global Communications Conference, 2021
  • IEEE Global Communications Conference, 2020
  • IEEE Vehicular Technology Conference (VTC), 2019 Fall
  • IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2018
  • IEEE WoWMoM COgnitive Radio Applications and aLgorithms (CORAL) Workshop, 2017
  • Teaching and Supervision

    Teaching and Supervision

    Teaching

  • EBU6444: Communication System Electronics (UG), 2018, 2019, 2020
  • EBU5504: Networks and Protocols (UG), 2018, 2019, 2020
  • SCC.160: Fundamentals of Communication Systems (UG), 2017
  • PhD Supervision

  • H. Xie, "Semantic Communications", Sep. 2019~now.
  • Z. Ji, "Deep learning for wireless resource allocation", Sep. 2019~now.
  • Y. Guo, "Massive access", Sep. 2019~now.
  • Z. Weng, "Semantic Communications", Jan. 2020~now.
  • W. Sheng, "Deep learning enabled channel estimation", Jan. 2020~now.
  • External Examiner

  • F. J. Martin-Vega, University of Malaga, Spain, 2017.
  • Y. Liu, University of Southampton, UK, 2020.
  • Get in Touch

    Contact

    E212, Engineering Building Queen Mary University of London

    Mile End Road, London E1 4NS, UK