Performance Analysis of Artificial Noise-Assisted Location-Based Beamforming in Rician Wiretap Channels.

Hua Fu, Xiaoyu Zhang, Linning Peng

Abstract read

In one paragraph

Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

On the Security of Cell-Free Massive MIMO Networks.Sensors (Basel, Switzerland) · 2026
Review

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hua FuSchool of Cyber Science and Engineering, Southeast University, Nanjing 210096, China.ORCID 0000-0001-7863-2989

Xiaoyu ZhangSchool of Cyber Science and Engineering, Southeast University, Nanjing 210096, China.

Linning PengSchool of Cyber Science and Engineering, Southeast University, Nanjing 210096, China.

Funding

Guangdong Key Research and Development Program 2020B0303010001Jiangsu Provincial Key Laboratory of Network and Information Security BM2003201National Key Research and Development Program of China 2022YFB4300300National Natural Science Foundation of China 62001106 and 62171120

6 · The paper itself

Abstract

This paper studies the performance of location-based beamforming with the presence of artificial noise (AN). Secure transmission can be achieved using the location information of the user. However, the shape of the beam depends on the number of antennas used. When the scale of the antenna array is not sufficiently large, it becomes difficult to differentiate the performance between the legitimate user and eavesdroppers nearby. In this paper, we leverage AN to minimize the area near the user with eavesdropping risk. The impact of AN is considered for both the legitimate user and the eavesdropper. Closed-form expressions are derived for the expectations of the signal to interference plus noise ratios (SINRs) and the bit error rates. Then, a secure beamforming scheme is proposed to ensure a minimum SINR requirement for the legitimate user and minimize the SINR of the eavesdropper. Numerical results show that, even with a small number of antennas, the proposed beamforming scheme can effectively degrade the performance of eavesdroppers near the legitimate user.

Indexed as

artificial noiselocation-based beamformingphysical layer securitywiretap channel

Identifiers

PMID38136506

DOI10.3390/e25121626

PMCPMC10743292

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.