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Spatial Reuse in IEEE 802.11bn Coordinated Multi-AP WLANs: A Throughput Analysis

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arxiv 2407.16390 v2 pith:5TYXHU6F submitted 2024-07-23 cs.NI

classification cs.NI
keywords c-srthroughputanalysiscoordinatedhighieeemulti-apnetwork
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IEEE 802.11 networks continuously adapt to meet the stringent requirements of emerging applications like cloud gaming, eXtended Reality (XR), and video streaming services, which require high throughput, low latency, and high reliability. To address these challenges, Coordinated Spatial Reuse (C-SR) can potentially contribute to optimizing spectrum resource utilization. This mechanism is expected to enable a higher number of simultaneous transmissions, thereby boosting spectral efficiency in dense environments and increasing the overall network performance. In this paper, we focus on the performance analysis of C-SR in Wi-Fi 8 networks. In particular, we consider an implementation of C-SR where channel access and inter-Access Point (AP) communication are performed over-the-air using the Distributed Coordination Function (DCF). For such a purpose, we leverage the well-known Bianchi's throughput model and extend it to support multi-AP transmissions via C-SR. Numerical results in a WLAN network that consists of four APs show C-SR throughput gains ranging from 54% to 280% depending on the inter-AP distance and the position of the stations in the area.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Deep Reinforcement Learning-Based Scheduling for Wi-Fi Multi-Access Point Coordination

    cs.NI 2025-07 conditional novelty 6.0 of 10

    A PPO-trained scheduler for coordinated Wi-Fi access points reduces simulated 99th-percentile delays by 15 to 30 percent compared with heuristic baselines, though overloaded scenarios are excluded.

  2. Coordinated Multi-Armed Bandits for Improved Spatial Reuse in Wi-Fi

    cs.NI 2024-12 conditional novelty 5.0 of 10

    Coordinated multi-agent bandits that share rewards improve spatial reuse in simulated Wi-Fi networks, increasing mean throughput by up to 15% and minimum throughput by up to 210% over OBSS/PD SR.

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