Cell-free massive MIMO surveillance systems

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

Abstract

Wireless surveillance, in which untrusted communications links are proactively monitored by legitimate agencies, has started to garner a lot of interest for enhancing the national security. In this paper, we propose a new cell-free massive multiple-input multiple-output (CF-mMIMO) wireless surveillance system, where a large number of distributed multi-antenna aided legitimate monitoring nodes (MNs) embark on either observing or jamming untrusted communication links. To facilitate concurrent observing and jamming, a subset of the MNs is selected for monitoring the untrusted transmitters (UTs), while the remaining MNs are selected for jamming the untrusted receivers (URs). We analyze the performance of CF-mMIMO wireless surveillance and derive a closed-form expression for the monitoring success probability of MNs. We then propose a greedy algorithm for the observing vs, jamming mode assignment of MNs, followed by the conception of a jamming transmit power allocation algorithm for maximizing the minimum monitoring success probability concerning all the UT and UR pairs based on the associated long-term channel state information knowledge. In conclusion, our proposed CF-mMIMO system is capable of significantly improving the performance of the MNs compared to that of the state-of-the-art baseline. In scenarios of a mediocre number of MNs, our proposed scheme provides an 11-fold improvement in the minimum monitoring success probability compared to its colocated mMIMO benchmarker.
Original languageEnglish
Title of host publicationGLOBECOM 2023 - 2023 IEEE Global Communications Conference: Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5973-5978
ISBN (Electronic)9798350310900
ISBN (Print)9798350310917
DOIs
Publication statusPublished - 26 Feb 2024
Event36th IEEE International System-on-Chip Conference 2023 - Hyatt Regency, Santa Clara, United States
Duration: 05 Sept 202308 Sept 2023
https://www.ieee-socc.org/

Publication series

Name IEEE International System-on-Chip Conference (SOCC): proceedings
ISSN (Print)2164-1676
ISSN (Electronic)2164-1706

Conference

Conference36th IEEE International System-on-Chip Conference 2023
Abbreviated titleSOCC 2023
Country/TerritoryUnited States
CitySanta Clara
Period05/09/202308/09/2023
Internet address

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