Analysis and Design of Secure Massive MIMO Systems in the Presence of Hardware Impairments
Jun Zhu, Derrick Wing Kwan Ng, Ning Wang, Robert Schober, and Vijay K., Bhargava

TL;DR
This paper analyzes how hardware impairments affect the secrecy performance of massive MIMO systems, proposing optimization strategies and a new precoding method to mitigate negative effects and enhance security.
Contribution
It provides a comprehensive analysis of hardware impairments on secrecy in massive MIMO, deriving bounds and proposing a generalized null-space precoding technique.
Findings
Additive distortion noise can improve secrecy performance.
Hardware impairments generally reduce secrecy rates.
Spatially orthogonal pilots are preferable unless phase noise is very strong.
Abstract
To keep the hardware costs of future communications systems manageable, the use of low-cost hardware components is desirable. This is particularly true for the emerging massive multiple-input multiple-output (MIMO) systems which equip base stations (BSs) with a large number of antenna elements. However, low-cost transceiver designs will further accentuate the hardware impairments which are present in any practical communication system. In this paper, we investigate the impact of hardware impairments on the secrecy performance of downlink massive MIMO systems in the presence of a passive multiple-antenna eavesdropper. Thereby, for the BS and the legitimate users, the joint effects of multiplicative phase noise, additive distortion noise, and amplified receiver noise are taken into account, whereas the eavesdropper is assumed to employ ideal hardware. We derive a lower bound for the…
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Taxonomy
TopicsWireless Communication Security Techniques · Advanced MIMO Systems Optimization · Antenna Design and Analysis
