Deterministic Scheduling over Wi-Fi 6 using Target Wake Time: An Experimental Approach

TL;DR

This paper explores using Wi-Fi 6's Target Wake Time feature to create deterministic scheduling, reducing contention and improving performance in congested networks through experimental analysis and optimization.

Contribution

It introduces a novel approach to leverage TWT for deterministic scheduling, backed by experimental validation and optimal parameter synthesis.

Findings

TWT-based scheduling outperforms traditional CSMA/CA in congested scenarios.

Optimal system parameters improve overall Wi-Fi 6 performance.

Experimental results confirm the effectiveness of the proposed scheduling method.

Abstract

Wi-Fi networks traditionally use Distributed Coordination Function (DCF) that employs CSMA/CA along with the binary backoff mechanism for channel access. This causes unavoidable contention overheads and does not provide performance guarantees. In this work, we outline some issues that occur with the probabilistic channel access in highly congested scenarios and how those can be mitigated using deterministic scheduling. Towards this, we propose to use Target Wake Time (TWT) - a feature introduced in Wi-Fi 6 as a power-saving mechanism, to improve the performance of Wi-Fi. To gain insights into the workings of the TWT over commercially available off-the-shelf components and to analyze the factors that affect its performance, we carry out various experiments with it over our Wi-Fi 6 testbed. Using these insights and analysis, we formulate and solve an optimization problem to synthesize deterministic schedules and obtain the optimal values of various system parameters. Lastly, we configure our testbed with these optimal parameter values and show that the TWT based deterministic scheduling consistently results in better performance of the TWT-capable clients and overall system performance compared to traditional CSMA/CA based scheduling.