Dr Zhijin Qin

Research Associate

Address
Imperial College, South Kensington Campus, Department of Computing, Huxley Building, 180 Queens Gate, London, SW7 2RH, Room 563a.
Email
z.qin@imperial.ac.uk
LinkedIn
https://www.linkedin.com/in/zhijin-qin-2336536b

Zhijin is working as a research associate for ICRI project in Imperial College London since May 2016. She obtained her PhD from Queen Mary University of London in 2016.

Her recent research interests include:

  1. Low-power wide-area networks in IoT;
  2. Compressive sensing & matrix completion in cognitive radio and water sensor networks;
  3. Non-orthogonal multiple access in 5G networks.

Selected Publications

  1. Z. Qin, Y. Liu, G. Y. Li and J. A. McCann, Performance Analysis of Clustered Low-Power Wide-Area Networks”, 2017 (under review).
  2. Z. Qin, Y. Gao and M. Plumbley, “Malicious User Detection Based on Low-Rank Matrix Completion in Cooperative Spectrum Sensing”, IEEE Transactions on Signal Processing, 2016 (major revision).
  3. Y. Cai, Z. Qin, F. Cui, G. Y. Li and J. A. McCann, Modulation and Multiple Access for 5G Networks”, IEEE Communications Surveys & Tutorials, 2017 (minor revision).
  4. Y. Liu, Z. Qin, M. Elkashlan, A. Nallanathan and J. A. McCann, Non-orthogonal Multiple Access in Hybrid Heterogeneous Networks”,  IEEE Journal on Selected Areas in Communications, 2017 (accept with minor revision).
  5. 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”,   in IEEE Transactions on Wireless Communications, vol. 16, no. 3, pp. 1656-1672, Mar. 2017.
  6. Z. Qin, Y. Liu, Y. Gao, M. Elkashlan and A. Nallanathan, “Wireless Powered Cognitive Radio Networks with Compressive Sensing and Matrix Completion”, in IEEE Transactions on Communications, vol. 65, no. 4, pp. 1464-1476, Apr. 2017.
  7. 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)
  8. 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”, in IEEE Transactions on Signal Processing, vol. 64, no. 12, pp. 3106-3117, Jun. 2016. (9th most downloaded articles of TSP, Jan. 2016)
  9. Z. Qin, Y. Gao, and C. Parini, “Data-Assisted Low Complexity Compressive Spectrum Sensing on Real-Time Signals under Sub-Nyquist Rate”, in IEEE Transactions on Wireless Communications, vol. 15, no. 2, pp. 1174-1185, Feb. 2016. (11th most downloaded articles of TWC, Feb. 2016)
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