Secure MIMO Communication Relying on Movable Antennas

This paper considers a movable antenna (MA)-aided secure multiple-input multiple-output (MIMO) communication system consisting of a base station (BS), a legitimate information receiver (IR) and an eavesdropper (Eve), where the BS is equipped with MAs to enhance the system's physical layer secur...

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Bibliographic Details
Published in:IEEE transactions on communications Vol. 73; no. 4; pp. 2159 - 2175
Main Authors: Tang, Jun, Pan, Cunhua, Zhang, Yang, Ren, Hong, Wang, Kezhi
Format: Journal Article
Language:English
Published: New York IEEE 01.04.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
antenna position optimization
Antennas
Array signal processing
artificial noise (AN)
Communications systems
Covariance matrices
Covariance matrix
Lagrange multiplier
MIMO communication
Movable antenna (MA)
Multicast algorithms
Optimization
physical layer security (PLS)
Secrecy aspects
Security
ISSN:0090-6778, 1558-0857
Online Access:Get full text
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Summary:This paper considers a movable antenna (MA)-aided secure multiple-input multiple-output (MIMO) communication system consisting of a base station (BS), a legitimate information receiver (IR) and an eavesdropper (Eve), where the BS is equipped with MAs to enhance the system's physical layer security (PLS). Specifically, we aim to maximize the secrecy rate (SR) by jointly optimizing the transmit precoding (TPC) matrix, the artificial noise (AN) covariance matrix and the MAs' positions under the constraints of the maximum transmit power and the minimum spacing between MAs. To solve this non-convex problem with highly coupled optimization variables, the block coordinate descent (BCD) method is applied to alternately update the variables. Specifically, we first reformulate the SR into a tractable form, and derive the optimal TPC matrix and the AN covariance matrix with fixed MAs' positions by applying the Lagrangian multiplier method in semi-closed forms. Then, the majorization-minimization (MM) algorithm is employed to iteratively optimize each MA's position while keeping others fixed. We also extend this work to the more general multicast scenario. Finally, simulation results are provided to demonstrate the effectiveness of the proposed algorithms and the significant advantages of the MAs over conventional fixed position antennas (FPAs) in enhancing system's security.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2024.3465369