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CLC number: TN929.5
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2023-08-09
Cited: 0
Clicked: 980
Citations: Bibtex RefMan EndNote GB/T7714
Secure resource allocation against colluding eavesdropping in a user-centric cell-free massive multiple-input multiple-output system
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Na LI, Yuanyuan GAO, Kui XU, Xiaochen XIA, Huazhi HU, Yang LI, Yueyue ZHANG. Secure resource allocation against colluding eavesdropping in a user-centric cell-free massive multiple-input multiple-output system[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(4): 500-512.
@article{title="Secure resource allocation against colluding eavesdropping in a user-centric cell-free massive multiple-input multiple-output system",
author="Na LI, Yuanyuan GAO, Kui XU, Xiaochen XIA, Huazhi HU, Yang LI, Yueyue ZHANG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="25",
number="4",
pages="500-512",
year="2024",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200599"
}
%0 Journal Article
%T Secure resource allocation against colluding eavesdropping in a user-centric cell-free massive multiple-input multiple-output system
%A Na LI
%A Yuanyuan GAO
%A Kui XU
%A Xiaochen XIA
%A Huazhi HU
%A Yang LI
%A Yueyue ZHANG
%J Frontiers of Information Technology & Electronic Engineering
%V 25
%N 4
%P 500-512
%@ 2095-9184
%D 2024
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200599
TY - JOUR
T1 - Secure resource allocation against colluding eavesdropping in a user-centric cell-free massive multiple-input multiple-output system
A1 - Na LI
A1 - Yuanyuan GAO
A1 - Kui XU
A1 - Xiaochen XIA
A1 - Huazhi HU
A1 - Yang LI
A1 - Yueyue ZHANG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 25
IS - 4
SP - 500
EP - 512
%@ 2095-9184
Y1 - 2024
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2200599
Abstract: We investigate the resource allocation problem of a cell-free massive multiple-input multiple-output system under the condition of colluding eavesdropping by multiple passive eavesdroppers. To address the problem of limited pilot resources, a scheme is proposed to allocate the pilot with the minimum pollution to users based on access point selection and optimize the pilot transmission power to improve the accuracy of channel estimation. Aiming at the secure transmission problem under a colluding eavesdropping environment by multiple passive eavesdroppers, based on the local partial zero-forcing precoding scheme, a transmission power optimization scheme is formulated to maximize the system’s minimum security spectral efficiency. Simulation results show that the proposed scheme can effectively reduce channel estimation error and improve system security.
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