MIMO DF Relay Beamforming for Secrecy with Artificial Noise, Imperfect CSI, and Finite-Alphabet
Sanjay Vishwakarma, A. Chockalingam

TL;DR
This paper proposes a MIMO decode-and-forward relay beamforming scheme with artificial noise and imperfect CSI to enhance secrecy rates against multiple eavesdroppers, considering finite-alphabet inputs and fixed common message rate.
Contribution
It introduces a robust optimization framework for secrecy rate maximization under imperfect CSI, power constraints, and artificial noise injection in MIMO relay systems.
Findings
Artificial noise improves secrecy rate under imperfect CSI.
Finite-alphabet inputs impact secrecy performance.
Imperfect CSI reduces achievable secrecy rates.
Abstract
In this paper, we consider decode-and-forward (DF) relay beamforming with imperfect channel state information (CSI), cooperative artificial noise (AN) injection, and finite-alphabet input in the presence of an user and non-colluding eavesdroppers. The communication between the source and the user is aided by a multiple-input-multiple-output (MIMO) DF relay. We use the fact that a wiretap code consists of two parts: i) common message (non-secret), and ii) secret message. The source transmits two independent messages: i) common message (non-secret), and ii) secret message. The common message is transmitted at a fixed rate , and it is intended for the user. The secret message is also intended for the user but it should be kept secret from the eavesdroppers. The source and the MIMO DF relay operate under individual power constraints. In order to improve the secrecy rate, the…
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Taxonomy
TopicsWireless Communication Security Techniques · Cooperative Communication and Network Coding · Advanced MIMO Systems Optimization
