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Jie Tang

Researcher at South China University of Technology

Publications -  138
Citations -  4974

Jie Tang is an academic researcher from South China University of Technology. The author has contributed to research in topics: MIMO & Optimization problem. The author has an hindex of 30, co-authored 138 publications receiving 3153 citations. Previous affiliations of Jie Tang include University of Manchester & University of Electronic Science and Technology of China.

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Spectral-Energy Efficiency Trade-off-based Beamforming Design for MISO Non-Orthogonal Multiple Access Systems.

TL;DR: This paper proposes a novel beamforming design that jointly considers the trade-off between the two performance metrics in a multiple-input single-output non-orthogonal multiple access system and develops an iterative algorithm to solve this non-convex SOO problem using the sequential convex approximation technique.
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Beamforming and temporal power optimisation for an overlay cognitive radio relay network

TL;DR: The authors have proposed a joint spatial and temporal resource allocation technique to enhance the overall system power saving while satisfying the data rate or the signal-to-interference plus noise ratio requirement of the primary and secondary users.
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On Energy Harvesting of Hybrid TDMA-NOMA Systems

TL;DR: In this paper, the authors investigated the energy harvesting capabilities of non-orthogonal multiple access (NOMA) scheme integrated with the conventional time division multiple access scheme, which is referred to as hybrid TDMA-nOMA system and showed that it outperforms the conventional TDMA scheme in terms of transmit power consumption.
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Cooperative Jamming Secure Scheme for IWNs Random Mobile Users Aided by Edge Computing Intelligent Node Selection

TL;DR: The test results show that the novel scheme can improve the secrecy of random mobile users in the IWNs, and the ergodic secrecy capacity with CJ in random mobile scenes is derived.
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Physical Layer Key Generation in 5G Wireless Networks

TL;DR: In this article, the authors survey the existing key generation methods and introduce possible solutions for the existing issues, such as high signal directionality in beamforming to resist co-located eavesdroppers, utilizing the sparsity of millimeter wave (mmWave) channel to achieve a low bit disagreement ratio under low SNR, and exploiting hybrid precoding to reduce the temporal correlation among measured samples.