Optimized Non-Primary Channel Access Design in IEEE 802.11bn
Dongyu Wei, Liu Cao, Lyutianyang Zhang, Xiangyu Gao, Hao Yin
TL;DR
The paper investigates the throughput implications of Non-Primary Channel Access (NPCA) as proposed for IEEE 802.11 UHR, revealing that switching overhead can erode NPCA gains. It develops an analytical two-channel model extending Bianchi's framework, explicitly incorporating overhead via an overhead factor $l$ and channel-transition probabilities, yielding expressions for legacy throughput $S_{leg}$ and NPCA throughput $S_{npca}$. Through simulations across scenarios with varying primary and non-primary channel occupancies, the study shows NPCA does not universally outperform legacy networks and that overhead critically shapes outcomes. To address this, the authors propose a dynamic hybrid model that adaptively selects between NPCA and legacy methods based on real-time channel occupancy, achieving throughput improvements of at least 10% over fixed models in randomized occupancy simulations. This work provides actionable insights for designing robust multi-channel access strategies in Wi-Fi 7 (IEEE 802.11be) and future UHR deployments, where channel utilization and overhead trade-offs are pivotal.
Abstract
The IEEE 802.11 standards, culminating in IEEE 802.11be (Wi-Fi 7), have significantly expanded bandwidth capacities from 20 MHz to 320 MHz, marking a crucial evolution in wireless access technology. Despite these advancements, the full potential of these capacities remains largely untapped due to inefficiencies in channel management, in particular, the underutilization of secondary (non-primary) channels when the primary channel is occupied. This paper delves into the Non-Primary Channel Access (NPCA) protocol, initially proposed by the IEEE 802.11 Ultra-High Reliability (UHR) group, aimed at addressing these inefficiencies. Our research not only proposes an analytical model to assess the throughput of NPCA in terms of average throughput but also crucially identifies that the overhead associated with the NPCA protocol is significant and cannot be ignored. This overhead often undermines the effectiveness of the NPCA, challenging the assumption that it is invariably superior to traditional models. Based on these findings, we have developed and simulated a new hybrid model that dynamically integrates the strengths of both legacy and NPCA models. This model overall outperforms the existing models under all channel occupancy conditions, offering a robust solution to enhance throughput efficiency.
