Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems II
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866910761226338304 |
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| author | Hamadouche, Anis Ratnarajah, Tharm Masouros, Christos Thompson, John Sellathurai, Mathini |
| author_facet | Hamadouche, Anis Ratnarajah, Tharm Masouros, Christos Thompson, John Sellathurai, Mathini |
| contents | This study introduces an innovative beamforming design approach that incorporates the reliability of antenna array elements into the optimization process, termed "antenna health-aware selective beamforming". This method strategically focuses transmission power on more reliable antenna elements, thus enhancing system resilience and operational integrity. By integrating antenna health information and individual power constraints, our research leverages advanced optimization techniques such as the Group Proximal-Gradient Dual Ascent (GPGDA) to efficiently address nonconvex challenges in sparse array selection. Applying the proposed technique to a Dual-Functional Radar-Communication (DFRC) system, our findings highlight that increasing the sparsity promotion weight ($ρ_s$) generally boosts spectral efficiency and communication data rate, achieving perfect system reliability at higher $ρ_s$ values but also revealing a performance threshold beyond which further sparsity is detrimental. This underscores the importance of balanced sparsity in beamforming for optimizing performance, particularly in critical communication and defense applications where uninterrupted operation is crucial. Additionally, our analysis of the time complexity and power consumption associated with GPGDA underscores the need for optimizing computational resources in practical implementations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_17881 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems II Hamadouche, Anis Ratnarajah, Tharm Masouros, Christos Thompson, John Sellathurai, Mathini Signal Processing This study introduces an innovative beamforming design approach that incorporates the reliability of antenna array elements into the optimization process, termed "antenna health-aware selective beamforming". This method strategically focuses transmission power on more reliable antenna elements, thus enhancing system resilience and operational integrity. By integrating antenna health information and individual power constraints, our research leverages advanced optimization techniques such as the Group Proximal-Gradient Dual Ascent (GPGDA) to efficiently address nonconvex challenges in sparse array selection. Applying the proposed technique to a Dual-Functional Radar-Communication (DFRC) system, our findings highlight that increasing the sparsity promotion weight ($ρ_s$) generally boosts spectral efficiency and communication data rate, achieving perfect system reliability at higher $ρ_s$ values but also revealing a performance threshold beyond which further sparsity is detrimental. This underscores the importance of balanced sparsity in beamforming for optimizing performance, particularly in critical communication and defense applications where uninterrupted operation is crucial. Additionally, our analysis of the time complexity and power consumption associated with GPGDA underscores the need for optimizing computational resources in practical implementations. |
| title | Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems II |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2412.17881 |