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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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Hybrid Beamforming Design and Resource Allocation for UAV-Aided Wireless-Powered Mobile Edge Computing Networks With NOMA

TL;DR: By applying the polyhedral annexation method and the deep deterministic policy gradient (DDPG) algorithm, an effective algorithm is developed to derive the closed-form solution for the optimal 3D deployment of the UAV, and a solution is found for the hybrid beamformer.
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Light-Weight Physical Layer Enhanced Security Schemes for 5G Wireless Networks

TL;DR: By integrating physical layer security with novel techniques and application scenarios in 5G communication, several promising strategies are elaborate, including massive MIMO beamforming with security code communication, self-adaptive mobile and cooperative secure communication with dynamic channel prediction, physical layer assisted authentication and secret key distribution.
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A Cross-Layer Secure Communication Model Based on Discrete Fractional Fourier Fransform (DFRFT)

TL;DR: The advantages between legitimate partners are extended via developing novel security codes on top of the proposed cross-layer DFRFT security communication model, aiming to achieve an error-free legitimate channel while preventing the eavesdropper from any useful information.
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A Unified Model for the Design and Analysis of Spatially-Correlated Load-Aware HetNets

TL;DR: A unified framework for the performance analysis of arbitrary-loaded downlink heterogeneous networks (HetNets) in which interfering sources are inherently spatially-correlated, which allows for relaxation of several major limitations in the existing state-of-the-art models.
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On the Energy Efficiency–Spectral Efficiency Tradeoff in MIMO-OFDMA Broadcast Channels

TL;DR: This paper investigates the fundamental energy efficiency-spectral efficiency (EE-SE) relationship in a multiple-input-multiple-output (MIMO) orthogonal frequency-division multiple-access (OFDMA) broadcast channel with a practical power model and proposes a two-layer resource allocation algorithm to tackle the comprehensive EE-SE tradeoff problem.