Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 288

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Physical Layer Network Security in the Full-Duplex Relay System

Open access
Chen, Gaojie, Gong, Yu, Xiao, Pei, Chambers, Jonathon A.·2015·IEEE Transactions on Information Forensics and Security

Abstract

This paper investigates the secrecy performance of full-duplex relay (FDR) networks. The resulting analysis shows that FDR networks have better secrecy performance than half duplex relay networks, if the self-interference can be well suppressed. We also propose a full duplex jamming relay network, in which the relay node transmits jamming signals while receiving the data from the source. While the full duplex jamming scheme has the same data rate as the half duplex scheme, the secrecy performance can be significantly improved, making it an attractive scheme when the network secrecy is a primary concern. A mathematic model is developed to analyze secrecy outage probabilities for the half duplex, the full duplex and full duplex jamming schemes, and the simulation results are also presented to verify the analysis.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tifs.2015.2390136

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 19 references

Cited by

See all 288

Metadata

Authors
Chen, G., Gong, Y., Xiao, P., & Chambers, J. A.
Venue
IEEE Transactions on Information Forensics and Security
Published
2015-03
Volume
10
Issue
3
Pages
574-583
ISSN
  • 1556-6013 (ISSN-L)
  • 1556-6021
OpenAlex
W2124431228
Cited by
288
References
19
FWCI
23.74
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Physical Layer Network Security in the Full-Duplex Relay System. https://app.cochat.ai/papers/10.1109/tifs.2015.2390136
The paper
Chen, G., Gong, Y., Xiao, P., & Chambers, J. A. (2015). Physical Layer Network Security in the Full-Duplex Relay System. IEEE Transactions on Information Forensics and Security. https://doi.org/10.1109/tifs.2015.2390136

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.