Coexistence of Wi-Fi 6E and 5G NR-U: Can We Do Better in the 6 GHz Bands?
Gaurang Naik, Jung-Min Jerry Park
Abstract
Regulators in the US and Europe have stepped up their efforts to open the 6 GHz bands for unlicensed access. The two unlicensed technologies likely to operate and coexist in these bands are Wi-Fi 6E and 5G New Radio Unlicensed (NR-U). The greenfield 6 GHz bands allow us to take a fresh look at the coexistence between Wi-Fi and 3GPP-based unlicensed technologies. In this paper, using tools from stochastic geometry, we study the impact of Multi User Orthogonal Frequency Division Multiple Access, i.e., MU OFDMA-a feature introduced in 802.11ax-on this coexistence issue. Our results reveal that by disabling the use of the legacy contention mechanism (and allowing only MU OFDMA) for uplink access in Wi-Fi 6E, the performance of both NR-U networks and uplink Wi-Fi 6E can be improved. This is indeed feasible in the 6 GHz bands, where there are no operational Wi-Fi or NR-U users. In so doing, we also highlight the importance of accurate channel sensing at the entity that schedules uplink transmissions in Wi-Fi 6E and NR-U. If the channel is incorrectly detected as idle, factors that improve the uplink performance of one technology contribute negatively to the performance of the other technology.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Related papers
- 802.11ad in Smartphones: Energy Efficiency, Spatial Reuse, and Impact on ApplicationsShivang Aggarwal, Moinak Ghoshal, Piyali Banerjee, Dimitrios Koutsonikolas et al.INFOCOM 2021 · 18 citations
- Enriching Multi-User OFDMA in Wi-Fi Networks with Frequency-Selective Channel AwarenessKanghyun Lee, Youngwook Son, Jongyeon Park, Saewoong BahkINFOCOM 2025 · 3 citations
- CoBeam: Beamforming-based Spectrum Sharing With Zero Cross-Technology Signaling for 5G Wireless NetworksLorenzo Bertizzolo, Emrecan Demirors, Zhangyu Guan, Tommaso MelodiaINFOCOM 2020 · 16 citations
- A Systematic Threat Analysis and Practical Attacks on Automated Frequency Coordination SystemsYilu Dong, Tianchang Yang, Arupjyoti Bhuyan, Syed Rafiul HussainNSDI 2026
- Signal Detection and Classification in Shared Spectrum: A Deep Learning ApproachWenhan Zhang, Mingjie Feng, Marwan Krunz, Amirhossein Yazdani AbyanehINFOCOM 2021 · 66 citations
