Secure Transmission in Multi-Cell Massive MIMO Systems
Jun Zhu, Robert Schober, and Vijay K. Bhargava

TL;DR
This paper analyzes physical layer security in multi-cell massive MIMO systems, exploring how artificial noise and pilot contamination affect secrecy rates and proposing a low-complexity AN shaping method.
Contribution
It introduces a comprehensive analysis of secure downlink transmission with artificial noise in multi-cell massive MIMO, comparing conventional and random AN shaping matrices.
Findings
Artificial noise is essential for positive secrecy rates when user and eavesdropper experience similar path-loss.
Secure transmission can be compromised if eavesdropper has many antennas or insufficient power for channel estimation.
Random AN shaping matrices offer a good balance between performance and complexity.
Abstract
In this paper, we consider physical layer security provisioning in multi-cell massive multiple-input multiple-output (MIMO) systems. Specifically, we consider secure downlink transmission in a multi-cell massive MIMO system with matched-filter precoding and artificial noise (AN) generation at the base station (BS) in the presence of a passive multi-antenna eavesdropper. We investigate the resulting achievable ergodic secrecy rate and the secrecy outage probability for the cases of perfect training and pilot contamination. Thereby, we consider two different AN shaping matrices, namely, the conventional AN shaping matrix, where the AN is transmitted in the null space of the matrix formed by all user channels, and a random AN shaping matrix, which avoids the complexity associated with finding the null space of a large matrix. Our analytical and numerical results reveal that in multi-cell…
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Taxonomy
TopicsWireless Communication Security Techniques · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
