Mr Junkai Zhang is currently a PhD student supervised by Prof Tharmalingam Ratnarajah at the School of Engineering, The University of Edinburgh, UK. He received his Master's degree at The University of Edinburgh, UK, in Signal Processing and Commnunications with Distinction, in 2019 (Thesis: Fast Kernel Methods in Machine Learning). In 2018, he received his Bachelor's degree at Shenyang Ligong University, China, in Communication Engineering (Thesis: Speech Signal Filtering based on MATLAB).
PhD in Engineering (Wireless Communications), The University of Edinburgh, UK. Supervised by Prof Tharmalingam Ratnarajah, 2019- to date.
MSc in Signal Processing and Communications, with Distinction, The University of Edinburgh, UK. Supervised by Prof Michael E Davies, 2018-2019.
BEng in Communication Engineering, Shenyang Ligong University, China. Supervised by Prof Lizhong Zhu, 2014-2018.
Array Processing and MIMO System (Tutor) (2019-2020)
Digital Signal Processing Laboratory (Demonstrator) (2020-2021)
My research interest is based on mmWave IAB Full Duplex which is also my PhD project. The project aims at designing a New Radio (NR) integrated access and backhaul (IAB) network that is capable of simultaneously wirelessly backhaul the access traffic and wirelessly providing access to UEs utilizing the same time and frequency resources, thus scaling the spectrum efficiency with the number of IAB/user nodes.
J. Zhang, N. Garg, M. Holm, and T. Ratnarajah, “Design of Full-Duplex Millimeter-Wave Integrated Access and Backhaul Networks”, IEEE Wireless Commun. Mag., vol. 28, no. 1, pp. 60-67, Feb. 2021. https://ieeexplore.ieee.org/document/9363025
J. Zhang, N. Garg, M. Holm, and T. Ratnarajah, “Nyström Method-Based Hybrid Precoding for mmWave Full-Duplex Integrated Access and Backhaul Systems”, in Proc. IEEE WCNC, Nanjing, China, Mar. 2021. https://ieeexplore.ieee.org/document/9417423