Throughput-maximizing OFDMA Scheduler for IEEE 802.11ax Networks

Kuran, Mehmet; Dilmac, Abdurrahman; Topal, Omer Faruk; Yamansavascilar, Baris; Avallone, Stefano; Tuǧcu, Tuna

doi:10.1109/pimrc48278.2020.9217366

Cited by 15 publications

(3 citation statements)

References 11 publications

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“…In [12], Kuran et al proposed a scheduler that addresses an optimization problem for maximizing the overall throughput for both uplink and downlink IEEE 802.11ax OFDMA transmissions. The proposal develops a throughput-maximizing scheduler considering channel bandwidths, STA traffic queues, and STA MCS levels.…”

Section: Literature Reviewmentioning

confidence: 99%

An Application of Throughput Request Satisfaction Method for Maximizing Concurrent Throughput in WLAN for IoT Application System

Wu,

Funabiki,

Roy

et al. 2024

Sensors

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With the wide applications of the Internet of Things (IoT) in smart home systems, IEEE 802.11n Wireless Local Area Networks (WLANs) have become a frequently chosen communication technology due to their adaptability and affordability. In a high-density network of devices such as the smart home scenerio, a host often meets interferences from other devices and unequal Received Signal Strength (RSS) from Access Points (APs). This results in throughput unfairness/insufficiency problems between hosts communicating concurrently in WLAN. Previously, we have studied the throughput request satisfaction method to address this problem. It calculates the target throughput from measured single and concurrent throughputs of hosts and controls the actual throughput at this target one by applying traffic shaping at the AP. However, the insufficiency problem of maximizing the throughput is not solved due to interferences from other hosts. In this paper, we present an extension of the throughput request satisfaction method to maximize the throughput of a high-priority host under concurrent communications. It recalculates the target throughput to increase the actual throughput as much as possible while the other hosts satisfy the least throughput. For evaluations, we conduct experiments using the test-bed system with Raspberry Pi as the AP devices in several topologies in indoor environments. The results confirm the effectiveness of our proposal.

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Section: Literature Reviewmentioning

confidence: 99%

An Application of Throughput Request Satisfaction Method for Maximizing Concurrent Throughput in WLAN for IoT Application System

Wu,

Funabiki,

Roy

et al. 2024

Sensors

View full text Add to dashboard Cite

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“…In [ 25 ], the authors develop a scheduler that solves an optimization problem to maximize the throughput for both uplink and downlink 802.11ax OFDMA transmissions. To avoid starvation of some STAs that have unfavorable channel conditions, the authors introduce an aging mechanism.…”

Section: Related Workmentioning

confidence: 99%

IEEE 802.11ax OFDMA Resource Allocation with Frequency-Selective Fading

Tutelian

Bankov

Shmelkin³

et al. 2021

Sensors

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This paper studies the usage of orthogonal frequency division multiple access (OFDMA) for uplink transmissions in IEEE 802.11ax networks. OFDMA enables simultaneous multi-user transmissions in Wi-Fi, but its usage requires efficient resource allocation algorithms. These algorithms should be able to adapt to the changing channel conditions, including the frequency-selective fading. This paper presents an OFDMA resource allocation algorithm for channels with frequency-selective fading and proposes an approach to adapt the user transmission power and modulation and coding schemes to the varying channel conditions, which is efficient even in the case when the access point has outdated channel state information. The proposed scheduling algorithm and power allocation approach can double the goodput and halve the data transmission time in Wi-Fi networks even in dense deployments of access points.

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“…The IEEE 802.11ax protocol significantly improves network performance and efficiency, accommodating modern communication systems [14], [16]. It introduces measures like expanded QAM constellation sizes (up to 1024) and essential MAC layer mechanisms such as OFDMA, MU-MAC, downlink and uplink MU-MIMO, OBSS-PD, TWT, and MCS 10 and MCS 11 [4], [14], [15], [17]- [22]. These advancements promise to greatly enhance wireless network effectiveness and efficiency.…”

Section: Introductionmentioning

confidence: 99%

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2023

IJANS

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The escalating demand for swift and dependable wireless internet access has spurred the development of various protocols within 802.11 WLANs. Among them, the 802.11ac protocols have gained widespread acceptance over the past few years, offering enhanced data transfer rates compared to the 802.11n standard. However, the persistent congestion of wireless IoT devices, particularly in densely populated areas, remains a significant challenge. To tackle this issue, IEEE 802.11 has advanced IEEE 802.11ax as the successor to 802.11ac, introducing critical enhancements at the PHY/MAC layers to improve throughput in dense scenarios. Additionally, modelling and simulating these protocols are vital for WLAN researchers and designers to anticipate link characteristics effectively, fostering high-performance WLAN design. The need for such tools led to the creation of diverse network simulation programs, and NS-2 is widely accepted as an open-source program that has achieved remarkable success in research. In this paper, we focus on various connection properties of 802.11ax WLANs through NS-3 simulations, including MCSs, bonded channels, GI, data encoding, antennas, data rates, link distance, Tx/Rx power, gain, and payload size. We also compare their performance against 802.11ac, which demonstrates that NS-3 accurately supports most 802.11ax capabilities and outperforms 802.11ac in various scenarios.

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Throughput-maximizing OFDMA Scheduler for IEEE 802.11ax Networks

Cited by 15 publications

References 11 publications

An Application of Throughput Request Satisfaction Method for Maximizing Concurrent Throughput in WLAN for IoT Application System

An Application of Throughput Request Satisfaction Method for Maximizing Concurrent Throughput in WLAN for IoT Application System

IEEE 802.11ax OFDMA Resource Allocation with Frequency-Selective Fading

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