JOURNAL ARTICLE

Robust joint beamforming and artificial noise design for amplify-and-forward multi-antenna relay systems

Abstract

In this paper, we address physical layer security for amplify-and-forward (AF) multi-antenna relay systems in the presence of multiple eavesdroppers. A robust joint design of cooperative beamforming (CB) and artificial noise (AN) is proposed with imperfect channel state information (CSI) of both the destination and the eavesdroppers. We aim to maximize the worst-case secrecy rate subject to the sum power and the per-antenna power constraints at the relay. Such joint design problem is non-convex. By utilizing the semidefinite relaxation (SDR) technique, S-procedure and the successive convex approximation (SCA) algorithm, the original non-convex optimization problem is recast into a series of semidefinite programs (SDPs) which can be efficiently solved using interior-methods. Simulation results are presented to verify the effectiveness of the proposed design.

Keywords:
Beamforming Relay Artificial noise Computer science Relaxation (psychology) Optimization problem Channel state information Antenna (radio) Mathematical optimization Physical layer Noise (video) Convex optimization Power (physics) Regular polygon Wireless Algorithm Telecommunications Mathematics Artificial intelligence

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4
Cited By
0.50
FWCI (Field Weighted Citation Impact)
24
Refs
0.72
Citation Normalized Percentile
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Citation History

Topics

Wireless Communication Security Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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