Joint Transmit Beamforming and Receive Filters Design for Coordinated Two-Cell Interfering Dual-Functional Radar-Communication Networks

Dual-functional radar-communication (DFRC) has been viewed as a promising component in future networks. The considered two-cell interfering DFRC network involves two multi-antenna base stations (BSs), and each BS serves multiple single-antenna users and receives echo signals to detect the target. An...

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Bibliographic Details
Published inIEEE transactions on vehicular technology Vol. 71; no. 11; pp. 12362 - 12367
Main Authors Li, Yiqing, Jiang, Miao
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Antenna arrays
Antennas
Array signal processing
Beamforming
Communication networks
Computational geometry
Convexity
Dual-functional radar-communication (DFRC)
inter- ference channel (IFC)
Interference
joint beamforming optimization
Optimization
Radar
Radio equipment
Signal to noise ratio
successive inner convex approximation (SICA)
Target detection
Transmitting antennas
zero-forcing (ZF)
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Summary:Dual-functional radar-communication (DFRC) has been viewed as a promising component in future networks. The considered two-cell interfering DFRC network involves two multi-antenna base stations (BSs), and each BS serves multiple single-antenna users and receives echo signals to detect the target. An optimization framework for the joint transmit beamforming and receive filters design of a coordinated two-cell network is formulated. Specifically, we minimize the transmit power at two BSs subject to the signal-to-interference-and-noise ratio constraints. To solve the formulated non-convex optimization problem, an alternating optimization-based method is invoked. For the transmit beamforming design, a locally optimal successive inner convex approximation (SICA)-based method with fast convergence is firstly proposed. To further reduce the computational complexity, we also provide three zero-forcing (ZF)-based sub-optimal methods for practical consideration. For the receive filters design, a power iterations-based method is proposed. Simulation results validate the effectiveness of our proposed SICA-based locally optimal and ZF-based sub-optimal schemes.
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content type line 14
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2022.3193001