IEEE 802.11ax uplink scheduler to minimize, delay: A classic problem with new constraints

Bankov, Dmitry; Didenko, Andre; Khorov, Evgeny; Loginov, Vyacheslav; Lyakhov, Andrey

doi:10.1109/pimrc.2017.8292382

Cited by 26 publications

(7 citation statements)

References 8 publications

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“…Although in all these cases the RUs are assigned according to the same policy -proportionally fair -the efficiency of channel resource usage varies more than two times. Thus, even in the case of a baseline utility function (e.g., the geometric average of the throughputs which gives a proportionally fair resource allocation), the selection of the best RU allocation scheme is very sophisticated (see [60]). To a greater extent, this will be the case with other more complex QoS-aware schedulers, like M-LDWF [61] and EXP-PF [62].…”

Section: F Open Mu and Channel Access Issuesmentioning

confidence: 99%

A Tutorial on IEEE 802.11ax High Efficiency WLANs

Khorov

Kiryanov

Lyakhov

et al. 2019

IEEE Commun. Surv. Tutorials

Self Cite

392

229

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While celebrating the 21st year since the very first IEEE 802.11 "legacy" 2 Mbit/s wireless local area network standard, the latest Wi-Fi newborn is today reaching the finish line, topping the remarkable speed of 10 Gbit/s. IEEE 802.11ax was launched in May 2014 with the goal of enhancing throughput-perarea in high-density scenarios. The first 802.11ax draft versions, namely, D1.0 and D2.0, were released at the end of 2016 and 2017. Focusing on a more mature version D3.0, in this tutorial paper, we help the reader to smoothly enter into the several major 802.11ax breakthroughs, including a brand new orthogonal frequencydivision multiple access-based random access approach as well as novel spatial frequency reuse techniques. In addition, this tutorial will highlight selected significant improvements (including physical layer enhancements, multiuser multiple input multiple output extensions, power saving advances, and so on) which make this standard a very significant step forward with respect to its predecessor 802.11ac.

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Section: F Open Mu and Channel Access Issuesmentioning

confidence: 99%

A Tutorial on IEEE 802.11ax High Efficiency WLANs

Khorov

Kiryanov

Lyakhov

et al. 2019

IEEE Commun. Surv. Tutorials

Self Cite

392

229

View full text Add to dashboard Cite

show abstract

“…Some work addressed improving scheduling in the uplink by minimizing delay (Bankov et al, 2017;Bankov et al, 2018) and improving scheduling strategies for TCP traffic (Sharon & Alpert, 2019). While in (Naik et al, 2018) the performance analysis of uplink multiuser OFDMA and in (Sharon & Alpert, 2017) the scheduling strategies and throughput optimization were explained.…”

Section: 11ax Scheduling Basedmentioning

confidence: 99%

Developing A New Scheduling Algorithm for Wi-Fi 6 Technology Based on Machine Learning

MASRİ¹,

ERDAL²

2022

Uluslararası Muhendislik Arastirma Ve Gelistirme Dergisi

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Wireless mobile communications have experienced tremendous growth in the number of users, data rate requirements, and coverage in recent years. As the data rate and system throughput requirements increase, researchers and system designers need to develop efficient methods to meet these requirements with reasonable effort and cost. In this paper, we discuss an efficient approach to deal with diminishing the overhead of Downlink (DL) and feedback using Machine Learning (ML) for 802.11ax. In particular, the antennas that are related to the router were divided into two gatherings. We used good samples of Channel State Information (CSI) that were taken from an open-access dataset and used it to train our linear regression model. The first group of antennas was used as input to our model and the second group was used as the output of the model. In the online mode, we need to estimate only one group of antennas and for the second group, we can predict it using the trained linear regression model by using the estimated CSI group as input to the model. Therefore, the output of the model using as the CSI for the second group. In this way, we can reduce the overhead of the DL in the router as shown in the result table so the router will work more efficiently compared to the existing systems. From the results table in the last section, the average sum rate has increased between 20% and 30%.

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“…These techniques are commonly used in conventional wireless systems requiring high network throughput performance. The gain in OFDMA for IEEE 802.11ax networks has been studied [5,6]. IEEE 802.11 networks also provide multiple wireless connection services based on MU-MIMO and MU-OFDMA with the help of an efficient channelsounding process such as an appropriate channel-sounding interval decision with low complexity [7].…”

Section: Multi-user Transmissions In Ieee 80211axmentioning

confidence: 99%

Transmission Delay-Based Uplink Multi-User Scheduling in IEEE 802.11ax Networks

Kim

et al. 2021

Applied Sciences

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As the demands for uplink traffic increase, improving the uplink throughput has attracted research attention in IEEE 802.11 networks. To avoid excessive competition among stations and enhance the uplink throughput performance, the IEEE 802.11ax standard supports uplink multi-user transmission scenarios, in which AP triggers certain stations in a network to transmit uplink data simultaneously. The performance of uplink multi-user transmissions highly depends on the scheduler, and station scheduling is still an open research area in IEEE-802.11ax-based networks. In this paper, we propose a transmission delay-based uplink multi-user scheduling method. The proposed method consists of two steps. In the first step, the proposed method makcreateses station clusters so that stations in each cluster have similar expected transmission delays. The transmission delay-based station clustering increases the ues of uplink data channels during the uplink multi-user transmission scenario specified in IEEE 802.11ax. In the second step, the proposed method selects cluster for uplink multi-user transmissions. The cluster selection can be performed with a proportional fair-based approach. With the highly channel-efficient station cluster, the proposed scheduling method increases network throughput performance. Through the IEEE 802.11ax standard compliant simulations, we verify the network throughput performance of the proposed uplink scheduling method.

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IEEE 802.11ax uplink scheduler to minimize, delay: A classic problem with new constraints

Cited by 26 publications

References 8 publications

A Tutorial on IEEE 802.11ax High Efficiency WLANs

A Tutorial on IEEE 802.11ax High Efficiency WLANs

Developing A New Scheduling Algorithm for Wi-Fi 6 Technology Based on Machine Learning

Transmission Delay-Based Uplink Multi-User Scheduling in IEEE 802.11ax Networks

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