Optimal Energy-Efficient Design of Confidential Multiple-Antenna Systems

Energy-efficient resource allocation in multiple-antenna wiretap channels is investigated, subject to maximum power and minimum secrecy capacity/rate constraints. Two energy-efficient metrics are optimized, namely the secrecy energy efficiency, defined as the ratio between the system secrecy capacit...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on information forensics and security 2018-01, Vol.13 (1), p.237-252
Main Authors: Zappone, Alessio, Pin-Hsun Lin, Jorswieck, Eduard
Format: Article
Language:English
Subjects:
Antennas
Energy efficiency
fractional programming
Measurement
MIMO-ME
MISO-SE
Network security
Optimization
Physical layer
physical layer security
resource allocation
Resource management
Transmitters
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Energy-efficient resource allocation in multiple-antenna wiretap channels is investigated, subject to maximum power and minimum secrecy capacity/rate constraints. Two energy-efficient metrics are optimized, namely the secrecy energy efficiency, defined as the ratio between the system secrecy capacity and the consumed power, and the secret-key energy efficiency, defined as the ratio between the system secret-key capacity and the consumed power. If the legitimate receiver and the eavesdropper have a single antenna, and the transmitter has multiple antennas, the global solution can be expressed by a simple formula that requires negligible complexity to be computed. Instead, if all nodes have multiple-antennas, provably convergent and computationally-friendly iterative algorithms are provided, which are able to determine the global maximum of the secret-key energy efficiency and candidate solutions of the secrecy energy efficiency maximization problem. Numerical results assess the performance of the proposed methods.
ISSN:1556-6013
1556-6021
DOI:10.1109/TIFS.2017.2746009