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Foundations and Trends® in Networking
Article . 2025 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2026
License: CC BY
Data sources: Datacite
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Cell-free Integrated Sensing and Communication

Authors: Galappaththige, Diluka; Tellambura, Chintha;

Cell-free Integrated Sensing and Communication

Abstract

Cell-free (CF) integrated sensing and communication (ISAC) merges the CF architecture with ISAC functionalities. CF-ISAC leverages distributed access points, removes cell boundaries, and enhances coverage, spectral efficiency, and reliability. It also improves energy efficiency, enabling robust multi-user communication, distributed multi-static sensing, and seamless resource optimization. A comprehensive survey on CF-ISAC has been lacking. This monograph addresses that gap by covering the foundational principles, cooperative transmission, radar cross-section, target parameter estimation, ISAC integration levels, sensing metrics, and key applications. It also explores the advantages of multi-static sensing. Performance analysis, resource allocation, security, and user/ target-centric designs are discussed. Finally, synchronization, multi-target detection, interference management, and fron-thaul limitations are discussed. Advanced antenna technologies, network-assisted systems, near-field CF-ISAC, cross-technology integration, and machine learning approaches are presented. Diluka Galappaththige and Chintha Tellambura (2025), “Cell-free Integrated Sensing and Communication”, Foundations and Trends® in Networking: Vol. 16, No. 1-2, pp 1-170. DOI: 10.1561/1300000079. ©2025 D. Galappaththige and C. Tellambura

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Keywords

Signal Processing (eess.SP), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Top 10%
Top 10%
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