Spatial Reuse in IEEE 802.11ax WLANs
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Abstract (arXiv)
Dealing with massively crowded scenarios is one of the most ambitious goals of next-generation wireless networks. With this goal in mind, the IEEE 802.11ax amendment includes, among other techniques, the Spatial Reuse (SR) operation. The SR operation encompasses a set of unprecedented techniques {that are expected to significantly boost Wireless Local Area Networks (WLANs) performance in dense environments}. In particular, the main objective of the SR operation is to maximize the utilization of the medium by increasing the number of parallel transmissions. Nevertheless, due to the novelty of the operation, its performance gains remain largely unknown. In this paper, we first provide a gentle tutorial of the SR operation included in the IEEE 802.11ax. Then, we analytically model SR and delve into the new kinds of MAC-level interactions among network devices. Finally, we provide a simulation-driven analysis to showcase the potential of SR in various deployments, comprising different network densities and traffic loads. Our results show that the SR operation can significantly improve the medium utilization, especially in scenarios under high interference conditions. Moreover, our results demonstrate the non-intrusive design characteristic of SR, which allows enhancing the number of simultaneous transmissions with a low impact on the environment. We conclude the paper by giving some thoughts on the main challenges and limitations of the IEEE 802.11ax SR operation, including research gaps and future directions.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Jul 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 1; 2025: 0; 2026: 1.
5 papers.
- 2022INSPIRE: Distributed Bayesian Optimization for ImproviNg SPatIal REuse in Dense WLANscited by 3
- 2022Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANscited by 2
- 2021Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANscited by 1
- 2024Coordinated Multi-Armed Bandits for Improved Spatial Reuse in Wi-Ficited by 1
- 2026Decentralized Spatial Reuse Optimization in Wi-Fi: An Internal Regret Minimization Approachcited by 0
- 2026Decentralized Spatial Reuse Optimization in Wi-Fi: An Internal Regret Minimization Approach9 Feb 2026
- 2024Coordinated Multi-Armed Bandits for Improved Spatial Reuse in Wi-Fi4 Dec 2024
- 2022INSPIRE: Distributed Bayesian Optimization for ImproviNg SPatIal REuse in Dense WLANs30 Mar 2022
- 2022Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs20 Mar 2022
- 2021Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs29 May 2021