Secure Cell-Free Massive MIMO ISAC Systems: Joint AP Selection and Power Allocation Against Eavesdropping
Ruiguang Wang, Takumi Takahashi, Hideki Ochiai

TL;DR
This paper proposes a secure cell-free massive MIMO ISAC system with joint AP selection and power allocation, effectively balancing communication, sensing, and security against eavesdropping.
Contribution
It introduces a novel AP partitioning strategy and a joint optimization framework for power allocation, enhancing security and performance in CF-mMIMO ISAC systems.
Findings
Significant improvements in communication rates and security levels.
Effective AP selection enhances sensing accuracy and eavesdropper suppression.
Trade-offs identified between security, sensing, and communication performance.
Abstract
This paper investigates a cell-free massive multiple-input-multiple-output (CF-mMIMO) integrated sensing and communication (ISAC) system that addresses the critical challenge of information leakage to potential eavesdroppers located within sensing zones. A novel access point (AP) selection strategy is proposed, which partitions the distributed APs into two functional groups: communication APs (C-APs), dedicated exclusively to data transmission, and sensing APs (S-APs), responsible for target detection and eavesdropper suppression. Closed-form expressions for the achievable communication rate, eavesdropping rate, and mainlobe-to-average-sidelobe ratio (MASR) are derived to evaluate system performance. Two complementary optimization problems are formulated using the successive convex approximation (SCA): (i) maximizing user rates under security constraints and (ii) minimizing…
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Taxonomy
TopicsRadar Systems and Signal Processing · Wireless Communication Security Techniques · Sparse and Compressive Sensing Techniques
