18 Mar, 2021 (Thu)Time:
3:00 pmWebinar Link:
SpeakerMr. Zongze Li,
Department of Electrical and Electronic Engineering
The University of Hong Kong
Non-orthogonal multiple access (NOMA) is a promising solution for secure transmission under massive access. However, in addition to the uncertain channel state information (CSI) of the eavesdroppers due to their passive nature, the CSI of the legitimate users may also be imperfect at the base station due to the limited feedback. Under both channel uncertainties, the optimal power allocation and transmission rate design for a secure NOMA scheme is currently not known due to the difficulty of handling the probabilistic constraints. This paper fills this gap by proposing novel transformation of the probabilistic constraints and variable decoupling so that the security guaranteed sum-rate maximization problem can be solved by alternatively executing branch-and-bound method and difference of convex programming. To scale the solution to a truly massive access scenario, a first-order algorithm with very low complexity is further proposed. Simulation results show that the proposed first-order algorithm achieves identical performance to the conventional method but saves at least two orders of magnitude in computation time. Moreover, the resultant transmission scheme significantly improves the security guaranteed sum-rate compared to the orthogonal multiple access transmission and NOMA ignoring CSI uncertainty.
Zoom Link (during COVID-19 special period):
Meeting ID: 950 6656 1290
Biography of the speaker:
Zongze Li received the B.E. and M.Phil. degrees from Xian Jiaotong University, Xian, China, in 2014 and 2017, respectively. He is currently pursuing the Ph.D. in Electrical and Electronic Engineering, at the University of Hong Kong. His research interests include signal processing techniques and in the general areas of wireless communications.
All are welcome.
OrganizerDr. Y.C. Wu
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