Smart Preliminary Channel Access to Support Real-Time Traffic in Wi-Fi Networks

Chemrov, Kirill; Bankov, Dmitry; Khorov, Evgeny; Lyakhov, Andrey

doi:10.3390/fi14100296

Cited by 6 publications

(2 citation statements)

References 44 publications

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“…However, these optimization algorithms modify the fundamental of the EDCA mechanism, and they may not be compatible with the IEEE 802.11 standardization. In one of the most recent MAC layer modifications [18], the authors proposed an enhanced Preliminary Channel Access (PCA) method, which allows the transmission for Real-Time Application (RTA) access to the channel faster than other transmissions compared to PCA and EDCA mechanisms. The aim of this study aligns with Wi-Fi 7, where low delay and high reliability are the two requirements for the RTA use cases.…”

Section: Related Workmentioning

confidence: 99%

Introducing Reinforcement Learning in the Wi-Fi MAC Layer to Support Sustainable Communications in e-Health Scenarios

Famitafreshi,

Afaqui,

Melià-Seguí

2023

IEEE Access

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The crisis of energy supplies has led to the need for sustainability in technology, especially in the Internet of Things (IoT) paradigm. One solution is the integration of passive technologies like Energy Harvesting (EH) into IoT systems, which reduces the amount of battery replacement. However, integrating EH technologies within IoT systems is challenging, and it requires adaptations at different layers of the IoT protocol stack, especially at the Medium Access Control (MAC) layer due to its energy-hungry features. Since Wi-Fi is a widely used wireless technology in IoT systems, in this paper, we perform an extensive set of simulations in a dense solar-based energy-harvesting Wi-Fi network in an e-Health environment. We introduce optimization algorithms, which benefit from the Reinforcement Learning (RL) methods to efficiently adjust to the complexity and dynamic behaviour of the network. We assume the concept of Access Point (AP) coordination to demonstrate the feasibility of the upcoming Wi-Fi amendment IEEE 802.11bn (Wi-Fi 8). This paper shows that the proposed algorithms reduce the network's energy consumption by up to 25% compared to legacy Wi-Fi while maintaining the required Quality of Service (QoS) for e-Health applications. Moreover, by considering the specific adjustment of MAC layer parameters, up to 37% of the energy of the network can be conserved, which illustrates the viability of reducing the dimensions of solar cells, while concurrently augmenting the flexibility of this EH technique for deployment within the IoT devices. We anticipate this research will shed light on new possibilities for IoT energy harvesting integration, particularly in contexts with restricted QoS environments such as passive sensing and e-Healthcare.

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Section: Related Workmentioning

confidence: 99%

Introducing Reinforcement Learning in the Wi-Fi MAC Layer to Support Sustainable Communications in e-Health Scenarios

Famitafreshi,

Afaqui,

Melià-Seguí

2023

IEEE Access

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“…Note that although existing works, e.g., [5], [6], show that PSR is favorable for RTA, they do not provide an algorithm to arrange transmissions so that the requirements of RTA STAs are satisfied. Moreover, the approach from [6] implies simple alternation of TB transmissions that allow and disallow PSR, which leads to unfairness in resource allocation. For example, if too many STAs allow PSR, then each of them receives more channel time than each of those that disallow PSR.…”

mentioning

confidence: 99%

A Scheduler for Real-Time Service in Wi-Fi 8 Multi-AP Networks With Parameterized Spatial Reuse

Chemrov,

Bankov,

Lyakhov

et al. 2024

IEEE Commun. Lett.

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Real-time applications (RTAs) require low delays and impose a significant challenge to Wi-Fi. In Wi-Fi, high delays are often caused by waiting for the channel to become idle. This problem can be solved with Parameterized Spatial Reuse (PSR), which allows a station (STA) to transmit its frame with reduced power simultaneously with a triggered uplink transmission in an overlapping network. The PSR opportunity depends on the pathloss between involved STAs, so the same transmission may allow PSR for one STA but not for another one. Thus, to satisfy tight delay constraints in dense overlapping networks, access points (APs) in the same area shall often allow PSR for every STA with RTA traffic. This letter proposes a fast scheduler enabling frequent PSR transmissions for RTA traffic. The scheduler uses Multi-AP coordination, the feature of upcoming Wi-Fi 8. With simulations, we show that it almost halves the delay for RTA traffic and does not deteriorate the quality of service for other traffic compared with an airtime fairness scheduler.

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Multi-Link Operation in IEEE802.11be Extremely High Throughput: A Survey

Abdalhafid,

Subramaniam,

Zukarnain

et al. 2024

IEEE Access

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The evolution of wireless communication has led to the introduction of IEEE 802.11be, a leading-edge wireless standard also referred to as Extremely High Throughput (EHT) or Wi-Fi 7. Multi-Link Operation (MLO) is the most innovative and disruptive technology proposed in this amendment, which holds the potential to revolutionize wireless networks. MLO aims to increase throughput through link aggregation, enhance reliability through redundant frame transmission over multiple links, and decrease latency by utilizing the earliest available link. However, to the best of our knowledge, there is no specific survey or review paper is dedicated solely to MLO, despite the extensive research conducted on Wi-Fi 7. Thus, this survey paper will bridge the gap by presenting an exhaustive overview of cutting-edge research spanning from 2010 to 2023, exclusively focused on MLO characteristics, current status and future directions. This study has discovered several open issues, including backoff count overflow, channel selection, load balancing and channel access fairness. These findings lay the groundwork for future research that has the potential to impact the current status of wireless communication significantly.INDEX TERMS Wi-Fi 7, IEEE 802.11be, Extremely High Throughput, Multi-Link Operation.1 . A link refers to a specific connection between devices. 2 . Channel represents the physical or logical pathway for data transmission This article has been accepted for publication in IEEE Access.

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Smart Preliminary Channel Access to Support Real-Time Traffic in Wi-Fi Networks

Cited by 6 publications

References 44 publications

Introducing Reinforcement Learning in the Wi-Fi MAC Layer to Support Sustainable Communications in e-Health Scenarios

Introducing Reinforcement Learning in the Wi-Fi MAC Layer to Support Sustainable Communications in e-Health Scenarios

A Scheduler for Real-Time Service in Wi-Fi 8 Multi-AP Networks With Parameterized Spatial Reuse

Multi-Link Operation in IEEE802.11be Extremely High Throughput: A Survey

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