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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Vydáno v:IEEE transactions on vehicular technology Ročník 71; číslo 11; s. 12362 - 12367
Hlavní autoři: Li, Yiqing, Jiang, Miao
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.11.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
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)
ISSN:0018-9545, 1939-9359
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Shrnutí: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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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2022.3193001