Joint Beamforming Design for Dual-Functional MIMO Radar and Communication Systems Guaranteeing Physical Layer Security

Fuwang Dong1; Wei Wang2; Xin Li2; Fan Liu1; Sheng Chen3; Lajos Hanzo3

2023

10.1109/TGCN.2022.3233863

IEEE Transactions on Green Communications and Networking   影响因子和分区

2473-2400

2473-2400

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.

Dual-functional radar and communication system joint beamforming design physical layer security multi-user MIMO

SCI ; EI

英语

第一

National Natural Science Foundation[62271163] ; Fundamental Research Funds for the Central Universities["3072022QBZ0401","3072021CFT0404"] ; National Natural Science Foundation of China[62101234] ; Young Elite Scientist Sponsorship Program by the China Association for Science and Technology (CAST)[YESS20210055] ; Engineering and Physical Sciences Research Council["EP/W016605/1","EP/P003990/1"] ; European Research Council's Advanced Fellow Grant QuantCom[789028]

Telecommunications

Telecommunications

WOS:000944152100042

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

20230613540966

Beamforming ; Channel state information ; Convex optimization ; Covariance matrix ; Degrees of freedom (mechanics) ; Economic and social effects ; MIMO radar ; MIMO systems ; Quality of service ; Radar signal processing ; Tracking radar

Electromagnetic Waves in Relation to Various Structures:711.2 ; Information Theory and Signal Processing:716.1 ; Radar Systems and Equipment:716.2 ; Mathematics:921 ; Mechanics:931.1 ; Social Sciences:971

2-s2.0-85147218177

IEEE

1.Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China
2.College of Intelligent System Science and Engineering, Harbin Engineering University, Harbin, China
3.School of Electronic and Computer Science, University of Southampton, Southampton, U.K.

Fuwang Dong,Wei Wang,Xin Li,et al. Joint Beamforming Design for Dual-Functional MIMO Radar and Communication Systems Guaranteeing Physical Layer Security[J]. IEEE Transactions on Green Communications and Networking,2023,PP(99):1-1.

Fuwang Dong,Wei Wang,Xin Li,Fan Liu,Sheng Chen,&Lajos Hanzo.(2023).Joint Beamforming Design for Dual-Functional MIMO Radar and Communication Systems Guaranteeing Physical Layer Security.IEEE Transactions on Green Communications and Networking,PP(99),1-1.

Fuwang Dong,et al."Joint Beamforming Design for Dual-Functional MIMO Radar and Communication Systems Guaranteeing Physical Layer Security".IEEE Transactions on Green Communications and Networking PP.99(2023):1-1.