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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2403.16458 |
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| _version_ | 1866914882187689984 |
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| author | You, Changsheng Cai, Yunlong Liu, Yuanwei Di Renzo, Marco Duman, Tolga M. Yener, Aylin Swindlehurst, A. Lee |
| author_facet | You, Changsheng Cai, Yunlong Liu, Yuanwei Di Renzo, Marco Duman, Tolga M. Yener, Aylin Swindlehurst, A. Lee |
| contents | To accommodate new applications such as extended reality, fully autonomous vehicular networks and the metaverse, next generation wireless networks are going to be subject to much more stringent performance requirements than the fifth-generation (5G) in terms of data rates, reliability, latency, and connectivity. It is thus necessary to develop next generation advanced transceiver (NGAT) technologies for efficient signal transmission and reception. In this tutorial, we explore the evolution of NGAT from three different perspectives. Specifically, we first provide an overview of new-field NGAT technology, which shifts from conventional far-field channel models to new near-field channel models. Then, three new-form NGAT technologies and their design challenges are presented, including reconfigurable intelligent surfaces, flexible antennas, and holographic multi-input multi-output (MIMO) systems. Subsequently, we discuss recent advances in semantic-aware NGAT technologies, which can utilize new metrics for advanced transceiver designs. Finally, we point out other promising transceiver technologies for future research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_16458 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Next Generation Advanced Transceiver Technologies for 6G and Beyond You, Changsheng Cai, Yunlong Liu, Yuanwei Di Renzo, Marco Duman, Tolga M. Yener, Aylin Swindlehurst, A. Lee Information Theory Signal Processing To accommodate new applications such as extended reality, fully autonomous vehicular networks and the metaverse, next generation wireless networks are going to be subject to much more stringent performance requirements than the fifth-generation (5G) in terms of data rates, reliability, latency, and connectivity. It is thus necessary to develop next generation advanced transceiver (NGAT) technologies for efficient signal transmission and reception. In this tutorial, we explore the evolution of NGAT from three different perspectives. Specifically, we first provide an overview of new-field NGAT technology, which shifts from conventional far-field channel models to new near-field channel models. Then, three new-form NGAT technologies and their design challenges are presented, including reconfigurable intelligent surfaces, flexible antennas, and holographic multi-input multi-output (MIMO) systems. Subsequently, we discuss recent advances in semantic-aware NGAT technologies, which can utilize new metrics for advanced transceiver designs. Finally, we point out other promising transceiver technologies for future research. |
| title | Next Generation Advanced Transceiver Technologies for 6G and Beyond |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2403.16458 |