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Zhedong Liu

dblp:239/3235 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0001-9070-4236ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Physical-layer communications · 52% Wireless networking · 26% Routing and switching · 22%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › cognitive radio
spectrum sensing
0.412020
On robust spectrum sensing using M-estimators of covariance matrix · Sci. China Inf. Sci. 2020
Routing and switching › packet forwarding › forwarding protocol
decode-and-forward relaying
0.412019
Secrecy Analysis in DF Relay Over Generalized-K Fading Channels · IEEE Trans. Commun. 2019
Physical-layer communications
physical layer security
0.412019
Secrecy Analysis in DF Relay Over Generalized-K Fading Channels · IEEE Trans. Commun. 2019
Physical-layer communications › physical layer security › secrecy performance analysis
secrecy outage probability
0.412019
Secrecy Analysis in DF Relay Over Generalized-K Fading Channels · IEEE Trans. Commun. 2019
Mathematical optimization › statistical estimation
m-estimators
0.112020
On robust spectrum sensing using M-estimators of covariance matrix · Sci. China Inf. Sci. 2020
Physical-layer communications
fading channels
0.112019
Secrecy Analysis in DF Relay Over Generalized-K Fading Channels · IEEE Trans. Commun. 2019

Methods — techniques the papers use, named apart from their topics

m-estimators of covariance matrix · 0.9monte carlo simulation · 0.4closed-form analysis · 0.4
YearPublicationVenuePosition
2020 On robust spectrum sensing using M-estimators of covariance matrix
Zhedong Liu, Abla Kammoun, Mohamed-Slim Alouini
Sci. China Inf. Sci.1
2019 Secrecy Analysis in DF Relay Over Generalized-K Fading Channels
abstract
In this paper, we analyze the secrecy performance of the decode-and-forward (DF) relay system in generalized-K fading channels. In a typical four-node communications model, a source (S) sends confidential information to a destination (D) via a relay (R) using DF strategy in two time slots, while an eavesdropper (E) wants to overhear the information from S to D over generalized-K fading channels. To be more realistic, we assume that E can receive the signals of two time slots, and there is no direct link between S and D because of heavy fading. Based on those assumptions, we derive closed-form expressions for the secrecy outage probability (SOP) and ergodic secrecy capacity (ESC) by using a tight approximate probability density function of the generalized-K model. Furthermore, asymptotic expressions for the SOP and ESC are also derived in the high signal-to-noise ratio region, not only because we can get some insights about SOP and ESC, but also because expressions for SOP and ESC can be simplified significantly. The single relay system is subsequently extended into a multi-relay system, where the asymptotic SOP analysis of three proposed relay selection strategies is investigated. Moreover, the security-reliability tradeoff analysis in the multi-relay system is also presented given that S adopts a constant code rate. Finally, the Monte-Carlo simulation is used to demonstrate the accuracy of the derived closed-form expressions.
Hui Zhao 0010, Zhedong Liu, Liang Yang 0001, Mohamed-Slim Alouini
IEEE Trans. Commun.2