J
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.
Papers
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Adaptive Base Station Cooperation for Physical Layer Security in Two-Cell Wireless Networks
TL;DR: This work proposes a mechanism for transmit strategy adaptation with security protection that enables adaptive secure transmission, and thus is flexible and environment-adaptive, and numerical results confirm that the scheme is efficient in power resource utilization.
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An Indoor Localization Algorithm Based on Continuous Feature Scaling and Outlier Deleting
TL;DR: A new continuous-feature-scaling model is proposed, which uses continuous weights instead of the discrete weights used in the FS- $k$ NN, and needs not divide the entire RSSI space into the intervals.
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Energy-Efficient Heterogeneous Cellular Networks With Spectrum Underlay and Overlay Access
TL;DR: In this paper, a joint subcarrier assignment and power allocation scheme for quality-of-service-constrained energy-efficiency (EE) optimization in the downlink of an orthogonal frequency division multiple access based two-tier heterogeneous cellular network is proposed.
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Cascaded Channel Estimation for RIS Assisted mmWave MIMO Transmissions
TL;DR: In this article, the authors proposed a cascaded channel estimation framework for an RIS assisted mmWave multiple-input multiple-output (MIMO) system, where the wideband effect on transmission model is considered.
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Associating MIMO beamforming with security codes to achieve unconditional communication security
TL;DR: This study investigates the framework of associating multiple-input–multiple-output (MIMO) beamforming with secure code to achieve unconditional secure communications in the wireless passive eavesdropping environment and presents a profound theoretical analysis for the MIMO advantage channel and the exact closed-form expressions of secrecy outage probability.