Towards an AI/ML-defined Radio for Wi-Fi: Overview, Challenges, and Roadmap
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914803958677504 |
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| author | Bellalta, Boris Kosek-Szott, Katarzyna Szott, Szymon Wilhelmi, Francesc |
| author_facet | Bellalta, Boris Kosek-Szott, Katarzyna Szott, Szymon Wilhelmi, Francesc |
| contents | Will AI/ML-defined radios become a reality in the near future? In this paper, we introduce the concept of an AI/ML-defined radio - a radio architecture specifically designed to support AI/ML-based optimization and decision-making in communication functions - and depict its promised benefits and potential challenges. Additionally, we discuss a potential roadmap for the development and adoption of AI/ML-defined radios, and highlight the enablers for addressing their associated challenges. While we offer a general overview of the AI/ML-defined radio concept, our focus throughout the paper remains on Wi-Fi, a wireless technology that may significantly benefit from the integration of AI/ML-defined radios, owing to its inherent decentralized management and operation within unlicensed frequency bands. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_12675 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Towards an AI/ML-defined Radio for Wi-Fi: Overview, Challenges, and Roadmap Bellalta, Boris Kosek-Szott, Katarzyna Szott, Szymon Wilhelmi, Francesc Networking and Internet Architecture Will AI/ML-defined radios become a reality in the near future? In this paper, we introduce the concept of an AI/ML-defined radio - a radio architecture specifically designed to support AI/ML-based optimization and decision-making in communication functions - and depict its promised benefits and potential challenges. Additionally, we discuss a potential roadmap for the development and adoption of AI/ML-defined radios, and highlight the enablers for addressing their associated challenges. While we offer a general overview of the AI/ML-defined radio concept, our focus throughout the paper remains on Wi-Fi, a wireless technology that may significantly benefit from the integration of AI/ML-defined radios, owing to its inherent decentralized management and operation within unlicensed frequency bands. |
| title | Towards an AI/ML-defined Radio for Wi-Fi: Overview, Challenges, and Roadmap |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2405.12675 |