Downlink Secrecy Rate of One-Bit Massive MIMO System with Active Eavesdropping

02/29/2020
by   M. A. Teeti, et al.
0

In this study, we consider the physical layer security in the downlink of a Massive MIMO system employing one-bit quantization at the base station (BS). We assume an active eavesdropper that attempts to spoiling the channel estimation acquisition at the BS for a legitimate user, whereas overhearing on downlink transmission. We consider the two most widespread methods for degrading the eavesdropper's channel, the nullspace artificial noise (NS-AN) and random artificial noise (R-AN). Then, we present a lower bound on the secrecy rate and asymptotic performance, considering zero-forcing beamforming (ZF-BF) and maximum-ratio transmission beamforming (MRT-BF). Our results reveal that even when the eavesdropper is close enough to the intercepted user, a positive secrecy rate –which tends to saturation with increasing the number of BS antennas N—is possible, as long as the transmit power of eavesdropper is less than that of the legitimate user during channel training. We show that ZF-BF with NS-AN provides the best performance. It is found that MRT-BF and ZF-BF are equivalent in the asymptotic limit of N and hence the artificial noise technique is the performance indicator. Moreover, we study the impact of power-scaling law on the secrecy rate. When the transmit power of BS is reduced proportional to 1/N, the performance is independent of artificial noise asymptotically and hence the beamforming technique is the performance indicator. In addition, when the BS's power is reduced proportional to 1/√(N), all combinations of beamforming and artificial noise schemes are equally likely asymptotically, independent of quantization noise. We present various numerical results to corroborate our analysis.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/10/2020

Secure Simultaneous Information and Power Transfer for Downlink Multi-user Massive MIMO

In this paper, downlink secure transmission in simultaneous information ...
research
03/13/2019

Securing Downlink Massive MIMO-NOMA Networks with Artificial Noise

In this paper, we focus on securing the confidential information of mass...
research
03/11/2018

Updating Beamformers to Respond to Changes in Users

We consider a multi-user multiple-input single-output downlink system th...
research
07/16/2020

A Product Channel Attack to Wireless Physical Layer Security

We propose a novel attack that compromises the physical layer security o...
research
07/18/2018

High-Mobility Wideband Massive MIMO Communications: Doppler Compensation, Analysis and Scaling Law

In this paper, we apply angle-domain Doppler compensation for high-mobil...
research
05/05/2021

Massive MIMO-NOMA Systems Secrecy in the Presence of Active Eavesdroppers

Non-orthogonal multiple access (NOMA) and massive multiple-input multipl...
research
08/23/2018

Leakage Rate Analysis for Artificial Noise Assisted Massive MIMO with Non-coherent Passive Eavesdropper in Block-fading

Massive MIMO is one of the salient techniques for achieving high spectra...

Please sign up or login with your details

Forgot password? Click here to reset