Next Generation Wi-Fi and 5G NR-U in the 6 GHz Bands: Opportunities & Challenges
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Abstract (arXiv)
The ever-increasing demand for unlicensed spectrum has prompted regulators in the US and Europe to consider opening up the 6 GHz bands for unlicensed access. These bands will open up 1.2 GHz of additional spectrum for unlicensed radio access technologies (RATs), such as Wi-Fi and 5G New Radio Unlicensed (NR-U), in the US and if permitted, 500 MHz of additional spectrum in Europe. The abundance of spectrum in these bands creates new opportunities for the design of mechanisms and features that can support the emerging bandwidth-intensive and latency-sensitive applications. However, coexistence of unlicensed devices both with the bands' incumbent users and across different unlicensed RATs present significant challenges. In this paper, we provide a comprehensive survey of the existing literature on various issues surrounding the operations of unlicensed RATs in the 6 GHz bands. In particular, we discuss how key features in next-generation Wi-Fi are being designed to leverage these additional unlicensed bands. We also shed light on the foreseeable challenges that designers of unlicensed RATs might face in the near future. Our survey encompasses key research papers, contributions submitted to standardization bodies and regulatory agencies, and documents presented at various other venues. Finally, we highlight a few key research problems that are likely to arise due to unlicensed operations in the 6 GHz bands. Tackling these research challenges effectively will be critical in ensuring that the new unlicensed bands are efficiently utilized while guaranteeing the interference-free operation of the bands' incumbent users.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Jun 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 1.
4 papers.
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- 2021A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharingcited by 3
- 2022A Comprehensive Study on Artificial Intelligence Algorithms to Implement Safety Using Communication Technologiescited by 0
- 2024RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge13 Sep 2024
- 2022Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals11 Sep 2022
- 2022A Comprehensive Study on Artificial Intelligence Algorithms to Implement Safety Using Communication Technologies17 May 2022
- 2021A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing5 Oct 2021