Towards Spectrally Efficient and Physically Reconfigurable Architectures for Multibeam-Waveform Co-Design in Joint Communication and Sensing
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arXiv
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| Autores principales: | , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866918160819552256 |
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| author | Ebrahimi, Najme Paidmarri, Arun Gallyas-Sanhueza, Alexandra Ma, Yuan Li, Haoling Abdelmagid, Basem Abdelaziz Huang, Tzu-Yuan Wang, Hua |
| author_facet | Ebrahimi, Najme Paidmarri, Arun Gallyas-Sanhueza, Alexandra Ma, Yuan Li, Haoling Abdelmagid, Basem Abdelaziz Huang, Tzu-Yuan Wang, Hua |
| contents | Joint Communication and Sensing (JCAS) platforms are emerging as a foundation of next-generation mmWave (MMW) and sub-THz systems, enabling both high-throughput data transfer and angular localization within a shared signal path. This paper investigates multibeam architectures for JCAS that simultaneously optimize waveform shaping and beamforming across the time, frequency, code, and direct analog/ radio frequency (RF) domains. The paper compares Orthogonal Frequency-Division Multiplexing (OFDM), Frequency Modulated Arrays (FMA), Time-Modulated Arrays (TMA), direct RF/MMW modulation, and Code-Division Multiple Access (CDMA)-based systems with respect to spectral efficiency, beam orthogonality, latency, and Angle-of-Arrival (AoA) estimation accuracy. The results highlight architecture-specific tradeoffs among beam agility, efficiency, accuracy and resolution, and complexity. It also provides a framework for selecting JCAS front ends optimized for power, latency, inter-beam and multi-user interference, and rapid system reconfiguration |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_12968 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards Spectrally Efficient and Physically Reconfigurable Architectures for Multibeam-Waveform Co-Design in Joint Communication and Sensing Ebrahimi, Najme Paidmarri, Arun Gallyas-Sanhueza, Alexandra Ma, Yuan Li, Haoling Abdelmagid, Basem Abdelaziz Huang, Tzu-Yuan Wang, Hua Signal Processing Joint Communication and Sensing (JCAS) platforms are emerging as a foundation of next-generation mmWave (MMW) and sub-THz systems, enabling both high-throughput data transfer and angular localization within a shared signal path. This paper investigates multibeam architectures for JCAS that simultaneously optimize waveform shaping and beamforming across the time, frequency, code, and direct analog/ radio frequency (RF) domains. The paper compares Orthogonal Frequency-Division Multiplexing (OFDM), Frequency Modulated Arrays (FMA), Time-Modulated Arrays (TMA), direct RF/MMW modulation, and Code-Division Multiple Access (CDMA)-based systems with respect to spectral efficiency, beam orthogonality, latency, and Angle-of-Arrival (AoA) estimation accuracy. The results highlight architecture-specific tradeoffs among beam agility, efficiency, accuracy and resolution, and complexity. It also provides a framework for selecting JCAS front ends optimized for power, latency, inter-beam and multi-user interference, and rapid system reconfiguration |
| title | Towards Spectrally Efficient and Physically Reconfigurable Architectures for Multibeam-Waveform Co-Design in Joint Communication and Sensing |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2510.12968 |