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Physical-Layer Security in Mixed Near- and Far-Field Communication Systems

  • Tianyu Liu
  • , Changsheng You*
  • , Cong Zhou
  • , Yunpu Zhang
  • , Shiqi Gong
  • , Heng Liu
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Extremely large-scale arrays (XL-arrays) have emerged as a promising technology to improve the spectrum efficiency and spatial resolution of future wireless systems. Different from existing works that mostly considered physical layer security (PLS) in either the far-field or near-field, we consider in this paper a new and challenging scenario, where legitimate users (Bobs) are located in the far-field while eavesdroppers (Eves) are located in the near-field for intercepting confidential information at short distance, referred to as the mixed near- and far-field PLS. Specifically, we formulate an optimization problem to maximize the sum-secrecy-rate of all Bobs by designing their power allocation. To shed useful insights, we first consider a one-Bob-one-Eve system and characterize the insecure-transmission region of the Bob. Interestingly, we show that the insecure-transmission region is significantly expanded as compared to that in conventional far-field PLS systems, due to the energy-spread effect in the mixed-field scenario. Then, we propose an efficient algorithm to obtain a high-quality solution to the non-convex optimization problem. Finally, numerical results demonstrate that our proposed algorithm achieves a higher sum-secrecy-rate than the benchmark scheme where the power allocation is designed based on the (simplified) far-field channel model. © 2025 IEEE.
Original languageEnglish
Title of host publicationProceedings of the 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC)
PublisherIEEE
Number of pages5
ISBN (Electronic)978-1-6654-7776-5
ISBN (Print)978-1-6654-7777-2
DOIs
Publication statusPublished - 2025
Event26th IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC 2025) - Surrey, United Kingdom
Duration: 7 Jul 202510 Jul 2025

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
ISSN (Print)2325-3789
ISSN (Electronic)1948-3252

Conference

Conference26th IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC 2025)
PlaceUnited Kingdom
CitySurrey
Period7/07/2510/07/25

Funding

This work was supported in part by the National Key Research and Development Program Youth Scientist Project under Grant 2023YFB2905100; in part by the National Natural Science Foundation of China under Grant 62201242 and 62331023; in part by the Guangdong Basic and Applied Basic Research Foundation under Grant 2024A1515010097; in part by the Shenzhen Science and Technology Program under Grant 20231115131633001 and Grant JCYJ20240813094212016; in part by the High level of special funds under Grant G03034K004; and in part by the Program under Grant 2023QN10X152.

Research Keywords

  • extremely large-scale array (XL-array)
  • mixed near- and far-field channels
  • Physical layer security (PLS)
  • power allocation

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