An Overview of Physical Layer Security with Finite Alphabet Signaling
Journal article, 2018

Providing secure communications over the physical layer with the objective of achieving secrecy without requiring a secret key has been receiving growing attention within the past decade. The vast majority of the existing studies in the area of physical layer security focus exclusively on the scenarios where the channel inputs are Gaussian distributed. However, in practice, the signals employed for transmission are drawn from discrete signal constellations such as phase shift keying and quadrature amplitude modulation. Hence, understanding the impact of the finite-alphabet input constraints and designing secure transmission schemes under this assumption is a mandatory step towards a practical implementation of physical layer security. With this motivation, this article reviews recent developments on physical layer security with finite-alphabet inputs. We explore transmit signal design algorithms for single-antenna as well as multi-antenna wiretap channels under different assumptions on the channel state information at the transmitter. Moreover, we present a review of the recent results on secure transmission with discrete signaling for various scenarios including multi-carrier transmission systems, broadcast channels with confidential messages, cognitive multiple access and relay networks. Throughout the article, we stress the important behavioral differences of discrete versus Gaussian inputs in the context of the physical layer security. We also present an overview of practical code construction over Gaussian and fading wiretap channels, and discuss some open problems and directions for future research.

cooperative communications

finite-alphabet inputs

NOMA

OFDM

turbo codes

wiretap channel

spread spectrum techniques

full-duplex

convolutional codes

Physical layer security

cross-layer security.

artificial noise

channel state information

spatial modulation

coset coding

channel reciprocity

5G systems

millimeter wave

MIMO

precoding

Author

Sina Rezaei Aghdam

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Alireza Nooraiepour

Rutgers University

Tolga M. Duman

Bilkent University

IEEE Communications Surveys and Tutorials

1553-877X (ISSN)

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/COMST.2018.2880421

More information

Latest update

3/25/2021