G
Gan Zheng
Researcher at Loughborough University
Publications - 267
Citations - 11485
Gan Zheng is an academic researcher from Loughborough University. The author has contributed to research in topics: Beamforming & Telecommunications link. The author has an hindex of 48, co-authored 225 publications receiving 8927 citations. Previous affiliations of Gan Zheng include University College London & University of Peradeniya.
Papers
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Journal ArticleDOI
Simultaneous wireless information and power transfer in modern communication systems
Ioannis Krikidis,Stelios Timotheou,Symeon Nikolaou,Gan Zheng,Derrick Wing Kwan Ng,Robert Schober +5 more
TL;DR: An overview of SWIPT systems with a particular focus on the hardware realization of rectenna circuits and practical techniques that achieveSWIPT in the domains of time, power, antennas, and space is provided.
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Physical layer security for massive MIMO: An overview on passive eavesdropping and active attacks
TL;DR: It is shown that MaMIMO itself is robust against passive eavesdropping attacks and a pilot contamination scheme that actively attacks the channel estimation process is reviewed.
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Wireless Information and Power Transfer With Full Duplex Relaying
TL;DR: This paper proposes two tight SM capacity upper bounds and presents the solution of the optimal time split ratio for the maximum system throughput according to the proposed upper bound and conducts Monte-carlo simulations to reveal the throughput gain of the proposed SM-FD relaying protocol.
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Optimal Cooperative Jamming to Enhance Physical Layer Security Using Relays
TL;DR: This correspondence studies cooperative jamming to increase the physical layer security of a wiretap fading channel via distributed relays and shows that the optimization problem can be solved using a combination of convex optimization and a one-dimensional search.
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Improving Physical Layer Secrecy Using Full-Duplex Jamming Receivers
TL;DR: The proposed self-protection scheme eliminates the need for external helpers and provides system robustness and the optimal jamming covariance matrix is rank-1, and can be found via an efficient 1-D search.