T
Tong-Xing Zheng
Researcher at Xi'an Jiaotong University
Publications - 90
Citations - 2115
Tong-Xing Zheng is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Channel state information & Throughput. The author has an hindex of 19, co-authored 77 publications receiving 1664 citations. Previous affiliations of Tong-Xing Zheng include Southeast University.
Papers
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Energy-Efficient Transmission Design in Non-orthogonal Multiple Access
TL;DR: This correspondence studies the benefit of NOMA in enhancing energy efficiency for a multiuser downlink transmission and proposes an EE-optimal power allocation strategy that maximizes EE.
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Physical Layer Security in Heterogeneous Cellular Networks
TL;DR: In this article, an access threshold-based secrecy mobile association policy was proposed to associate each user with the BS providing the maximum truncated average received signal power beyond a threshold, and the connection probability and secrecy probability of a randomly located user were investigated.
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Multi-Antenna Transmission With Artificial Noise Against Randomly Distributed Eavesdroppers
TL;DR: This paper provides a comprehensive secrecy performance analysis and system design/optimization under a stochastic geometry framework, and presents explicit solutions on the optimal transmission parameters, including the wiretap code rates, the on-off transmission threshold and the power allocation ratio.
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Secure MISO Wiretap Channels With Multiantenna Passive Eavesdropper: Artificial Noise vs. Artificial Fast Fading
TL;DR: The AFF scheme is named and it is shown that with this scheme, the eavesdropper will face a noncoherent Ricean fading single-input-multiple-output channel and the closed-form secrecy rate is difficult to obtain, but an exact expression is derived for the single-antenna-eavesdropper case and a lower bound for the multiantenna-Eaves dropper case, both of which can be numerically calculated conveniently.
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Multi-Antenna Covert Communications in Random Wireless Networks
TL;DR: In this paper, a stochastic geometry framework was proposed to optimize the covert transmission performance of a multi-antenna-aided covert communication with randomly located wardens and interferers, considering both centralized and distributed antenna systems.