A Reconfigurable Subarray Architecture and Hybrid Beamforming for Millimeter-Wave Dual-Function-Radar-Communication Systems
Xin Jin, Tiejun Lv, Wei Ni, Zhipeng Lin, Qiuming Zhu, Ekram Hossain,, H. Vincent Poor

TL;DR
This paper introduces a reconfigurable subarray architecture with hybrid beamforming for millimeter-wave dual-function radar-communication systems, optimizing performance and energy efficiency through advanced algorithms.
Contribution
It proposes a novel reconfigurable subarray architecture and joint optimization method for hybrid beamforming in mmWave DFRC systems, enhancing efficiency and performance.
Findings
Improves energy efficiency by over 83% compared to other architectures.
Achieves effective communication and radar sensing with moderate hardware complexity.
Provides convergence and complexity analysis of the proposed algorithms.
Abstract
Dual-function-radar-communication (DFRC) is a promising candidate technology for next-generation networks. By integrating hybrid analog-digital (HAD) beamforming into a multi-user millimeter-wave (mmWave) DFRC system, we design a new reconfigurable subarray (RS) architecture and jointly optimize the HAD beamforming to maximize the communication sum-rate and ensure a prescribed signal-to-clutter-plus-noise ratio for radar sensing. Considering the non-convexity of this problem arising from multiplicative coupling of the analog and digital beamforming, we convert the sum-rate maximization into an equivalent weighted mean-square error minimization and apply penalty dual decomposition to decouple the analog and digital beamforming. Specifically, a second-order cone program is first constructed to optimize the fully digital counterpart of the HAD beamforming. Then, the sparsity of the RS…
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Taxonomy
TopicsMicrowave Engineering and Waveguides · Millimeter-Wave Propagation and Modeling · Antenna Design and Optimization
