Precoding design for key generation in near-field extremely large-scale MIMO communications

Tianyu Lu, Liquan Chen*, Junqing Zhang, Chen Chen, Trung Q. Duong, Michail Matthaiou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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This paper investigates an artificial randomness-based key generation scheme in near-field extremely large-scale multiple-input multiple-output (XL-MIMO) communications, aiming to overcome the limitations of static wireless chan-nels in generating secret keys. The proposed approach introduces artificial randomness via the pre coding vector, enabling legitimate users to generate secret keys while preventing eavesdropping. To maximize the secret key rate (SKR), the singular value decomposition (SVD) method is utilized to identify the legitimate subspace for generating secret keys and its orthogonal subspace to thwart eavesdropping. Additionally, a Dinkelbach method-based power allocation algorithm is designed to inject noise into both the legitimate subspace and its orthogonal subspace. Our simulation results validate the efficiency of the proposed key generation scheme, demonstrating its superiority over existing approaches.

Original languageEnglish
Title of host publicationIEEE Conference on Global Communications (GLOBECOM 2023): proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9798350370218
ISBN (Print)9798350370225
Publication statusPublished - 21 Mar 2024
EventIEEE Global Communications Conference 2023 - Kuala Lumpur, Malaysia
Duration: 04 Dec 202308 Dec 2023

Publication series

NameGLOBECOM Proceedings
ISSN (Print)1930-529X
ISSN (Electronic)2576-6813


ConferenceIEEE Global Communications Conference 2023
Abbreviated titleGLOBECOM 2023
CityKuala Lumpur
Internet address


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