9 research outputs found
Secret Channel Training to Enhance Physical Layer Security With a Full-Duplex Receiver
This work proposes a new channel training (CT)
scheme for a full-duplex receiver to enhance physical layer
security. Equipped with NB full-duplex antennas, the receiver
simultaneously receives the information signal and transmits
artificial noise (AN). In order to reduce the non-cancellable
self-interference due to the transmitted AN, the receiver has
to estimate the self-interference channel prior to the data
communication phase. In the proposed CT scheme, the receiver
transmits a limited number of pilot symbols which are known
only to itself. Such a secret CT scheme prevents an eavesdropper
from estimating the jamming channel from the receiver to
the eavesdropper, hence effectively degrading the eavesdropping
capability. We analytically examine the connection probability
(i.e., the probability of the data being successfully decoded by the
receiver) of the legitimate channel and the secrecy outage probability
due to eavesdropping for the proposed secret CT scheme.
Based on our analysis, the optimal power allocation between CT
and data/AN transmission at the legitimate transmitter/receiver
is determined. Our examination shows that the newly proposed
secret CT scheme significantly outperforms the non-secret CT
scheme that uses publicly known pilots when the number of
antennas at the eavesdropper is larger than one.ARC Discovery Projects Grant DP15010390
Secure Massive MIMO Communication with Low-resolution DACs
In this paper, we investigate secure transmission in a massive multiple-input
multiple-output (MIMO) system adopting low-resolution digital-to-analog
converters (DACs). Artificial noise (AN) is deliberately transmitted
simultaneously with the confidential signals to degrade the eavesdropper's
channel quality. By applying the Bussgang theorem, a DAC quantization model is
developed which facilitates the analysis of the asymptotic achievable secrecy
rate. Interestingly, for a fixed power allocation factor , low-resolution
DACs typically result in a secrecy rate loss, but in certain cases they provide
superior performance, e.g., at low signal-to-noise ratio (SNR). Specifically,
we derive a closed-form SNR threshold which determines whether low-resolution
or high-resolution DACs are preferable for improving the secrecy rate.
Furthermore, a closed-form expression for the optimal is derived. With
AN generated in the null-space of the user channel and the optimal ,
low-resolution DACs inevitably cause secrecy rate loss. On the other hand, for
random AN with the optimal , the secrecy rate is hardly affected by the
DAC resolution because the negative impact of the quantization noise can be
compensated for by reducing the AN power. All the derived analytical results
are verified by numerical simulations.Comment: 14 pages, 10 figure
Performance Analysis of Directional Modulation With Finite-Quantized RF Phase Shifters in Analog Beamforming Structure
The radio frequency (RF) phase shifter with finite quantization bits in analog beamforming (AB) structure forms quantization error (QE) and causes a performance loss of received signal to interference plus noise ratio (SINR) at the receiver (called Bob). By using the law of large numbers in probability theory, the closed-form expression of the SINR performance loss is derived to be inversely proportional to the square of Sinc (or sin(x)/x) function. Here, a phase alignment method is applied in the directional modulation transmitter with the AB structure. Also, the secrecy rate (SR) expression is derived with the QE. From the numerical simulation results, we find that the SINR performance loss gradually decreases as the number L of quantization bits increases. This loss is less than 0.3 dB when L is larger than or equal to three. As L exceeds five, the SINR performance loss at Bob can be approximately trivial. Similarly, the SR performance loss gradually reduces as L increases. In particular, the SR performance loss is about 0.1 bits/s/Hz for L = 3 at signal-to-noise ratio of 15 dB
Optimal Pilots for Anti-Eavesdropping Channel Estimation
Anti-eavesdropping channel estimation (ANECE) is a method that uses specially
designed pilot signals to allow two or more full-duplex radio devices each with
one or more antennas to estimate their channel state information (CSI)
consistently and at the same time prevent eavesdropper (Eve) with any number of
antennas from obtaining its CSI consistently. This paper presents optimal
designs of the pilots for ANECE based on two criteria. The first is the mean
squared error (MSE) of channel estimation for the users, and the second is the
mutual information (MI) between the pilot-driven signals observed by the users.
Closed-form optimal pilots are shown under the sum-MSE and sum-MI criteria
subject to a symmetric and isotropic condition. Algorithms for computing the
optimal pilots are shown for general cases. Fairness issues for three or more
users are discussed. The performances of different designs are compared