Joint Beamforming Design for Dual-Functional MIMO Radar and Communication Systems Guaranteeing Physical Layer Security
Joint Beamforming Design for Dual-Functional MIMO Radar and Communication Systems Guaranteeing Physical Layer Security
The dual-functional radar and communication (DFRC) technique constitutes a promising next-generation wireless solution, due to its benefits in terms of power consumption, physical hardware, and spectrum exploitation. In this paper, we propose sophisticated beamforming designs for multi-user DFRC systems by additionally taking the physical layer security (PLS) into account. We show that appropriately designed radar waveforms can also act as the traditional artificial noise conceived for drowning out the eavesdropping channel and for attaining increased design degrees of freedom (DoF). The joint beamforming design is formulated as a non-convex optimization problem for striking a compelling trade-off amongst the conflicting design objectives of radar transmit beampattern, communication quality of service (QoS), and the PLS level. Then, we propose a semidefinite relaxation (SDR)-based algorithm and a reduced-complexity version to tackle the non-convexity, where the globally optimal solutions are found. Moreover, a robust beamforming method is also developed for considering realistic imperfect channel state information (CSI) knowledge. Finally, simulation results are provided for corroborating our theoretical results and show the proposed methods' superiority.
Array signal processing, Covariance matrices, Downlink, Dual-functional radar and communication system, Interference, Radar, Radar detection, Signal to noise ratio, joint beamforming design, multi-user MIMO, physical layer security
537-549
Dong, Fuwang
ce4c8024-821b-45d1-bd5d-3fa6dbcbe89e
Wang, Wei
40507c2b-bc53-4988-8b9b-8d60370fd44a
Li, Xin
5b666dc3-3191-493b-a227-f798310246f1
Liu, Fan
307861de-ca67-4149-ab30-bc3551aa40fb
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
1 March 2023
Dong, Fuwang
ce4c8024-821b-45d1-bd5d-3fa6dbcbe89e
Wang, Wei
40507c2b-bc53-4988-8b9b-8d60370fd44a
Li, Xin
5b666dc3-3191-493b-a227-f798310246f1
Liu, Fan
307861de-ca67-4149-ab30-bc3551aa40fb
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Dong, Fuwang, Wang, Wei, Li, Xin, Liu, Fan, Chen, Sheng and Hanzo, Lajos
(2023)
Joint Beamforming Design for Dual-Functional MIMO Radar and Communication Systems Guaranteeing Physical Layer Security.
IEEE Transactions on Green Communications and Networking, 7 (1), .
(doi:10.1109/TGCN.2022.3233863).
Abstract
The dual-functional radar and communication (DFRC) technique constitutes a promising next-generation wireless solution, due to its benefits in terms of power consumption, physical hardware, and spectrum exploitation. In this paper, we propose sophisticated beamforming designs for multi-user DFRC systems by additionally taking the physical layer security (PLS) into account. We show that appropriately designed radar waveforms can also act as the traditional artificial noise conceived for drowning out the eavesdropping channel and for attaining increased design degrees of freedom (DoF). The joint beamforming design is formulated as a non-convex optimization problem for striking a compelling trade-off amongst the conflicting design objectives of radar transmit beampattern, communication quality of service (QoS), and the PLS level. Then, we propose a semidefinite relaxation (SDR)-based algorithm and a reduced-complexity version to tackle the non-convexity, where the globally optimal solutions are found. Moreover, a robust beamforming method is also developed for considering realistic imperfect channel state information (CSI) knowledge. Finally, simulation results are provided for corroborating our theoretical results and show the proposed methods' superiority.
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Accepted/In Press date: 28 December 2022
e-pub ahead of print date: 3 January 2023
Published date: 1 March 2023
Additional Information:
Funding Information:
This work was supported in part by the National Natural Science Foundation under Grant 62271163, and in part by the Fundamental Research Funds for the Central Universities under Grant 3072022QBZ0401 and Grant 3072021CFT0404. The work of Fan Liu was supported in part by the National Natural Science Foundation of China under Grant 62101234, and in part by the Young Elite Scientist Sponsorship Program by the China Association for Science and Technology (CAST) under Grant YESS20210055. The work of Lajos Hanzo was supported in part by the Engineering and Physical Sciences Research Council under Project EP/W016605/1 and Project EP/P003990/1 (COALESCE), and in part by the European Research Council's Advanced Fellow Grant QuantCom under Grant 789028.
Publisher Copyright:
© 2023 IEEE.
Keywords:
Array signal processing, Covariance matrices, Downlink, Dual-functional radar and communication system, Interference, Radar, Radar detection, Signal to noise ratio, joint beamforming design, multi-user MIMO, physical layer security
Identifiers
Local EPrints ID: 473848
URI: http://eprints.soton.ac.uk/id/eprint/473848
ISSN: 2473-2400
PURE UUID: bac443fb-0f2c-44f8-9934-22153941da91
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Date deposited: 01 Feb 2023 17:44
Last modified: 12 Nov 2024 02:32
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Contributors
Author:
Fuwang Dong
Author:
Wei Wang
Author:
Xin Li
Author:
Fan Liu
Author:
Sheng Chen
Author:
Lajos Hanzo
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