Performance Analysis of Uplink Multi-User OFDMA in IEEE 802.11ax

Naik, Gaurang; Bhattarai, Sudeep; Park, Jung‐Min

doi:10.1109/icc.2018.8422692

Cited by 55 publications

(29 citation statements)

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“…In [24], Naik et al gave a performance analysis of UL MU OFDMA in IEEE 802.11ax based on Markov Chain [25], and derived the relationship between the number of STAs and the throughput in saturated traffic. In other words, the throughput during each TWT SP depends on the the number of active STAs, which is closely related with TWT scheduling.…”

Section: The Current Progress In Twtmentioning

confidence: 99%

“…The probability of successful backoff, denoted as p sb , can be obtained from the following equation derived from [24], [26]:…”

Section: ) Throughputmentioning

confidence: 99%

“…Besides, the throughput of TSS #1 is approaching RND, and has a little strength for the LIs used in the simulation mostly are not multiples. If we arrange LIs in (24) in the same LI sub-group, TSS outperforms RND in both throughput and EE greatly. In the other hand, EPCS has a little strength than TSS #1.…”

Section: Performance Comparisonmentioning

confidence: 99%

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A Target Wake Time Scheduling Scheme for Uplink Multiuser Transmission in IEEE 802.11ax-Based Next Generation WLANs

Chen

Weng

et al. 2019

IEEE Access

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IEEE 802.11ax Wireless Local Area Networks (WLANs) introduce Orthogonal Frequency Division Multiple Access (OFDMA) physical layer technology to improve throughput in dense scenarios. In order to save power of battery operated stations (STAs), a novel broadcast Target Wake Time (TWT) operation for negotiating wake time between an access point (AP) and a group of STAs is also proposed by making full use of the new capability of uplink OFDMA-based multiuser transmissions. However, if the wake time of each STA which is determined by the offset and wake interval (listen interval) is not properly scheduled, deteriorated throughput and high power consumption occur because of collisions. In this paper, we take the advantage of uplink multiuser transmission with the novel TWT scheduling to maximize throughput. We first investigate the fundamental relationship between throughput and energy efficiency with several key aspects, such as the number of simultaneously active STAs, the number of eligible random access resource units, and the contention window size. We further derive the formulations of throughput and energy efficiency on the listen interval of each STA. Based on the relationship, a TWT-based sleep/wake-up scheduling scheme (TSS) is proposed to improve the throughput by reducing or even cancelling collisions. Simulation results demonstrate the effectiveness in terms of average throughput and energy efficiency. The TSS also makes a practical step towards a collision-free and deterministic access in future WLANs when cooperating with TWT service period scheduling. INDEX TERMS IEEE 802.11ax, WLAN, power conservation, target wake time (TWT), orthogonal frequency division multiple access (OFDMA).

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Section: The Current Progress In Twtmentioning

confidence: 99%

“…The probability of successful backoff, denoted as p sb , can be obtained from the following equation derived from [24], [26]:…”

Section: ) Throughputmentioning

confidence: 99%

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A Target Wake Time Scheduling Scheme for Uplink Multiuser Transmission in IEEE 802.11ax-Based Next Generation WLANs

Chen

Weng

et al. 2019

IEEE Access

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“…However, since Wi-Fi 6 devices need not coexist with legacy Wi-Fi devices in the 6 GHz bands, Wi-Fi 6 networks can restrict devices to use only MU-OFDMA for uplink and downlink transmissions. As a result, the MAC layer efficiency, and consequently, user throughput, in dense usage settings will improve [39].…”

Section: ) Wi-fimentioning

confidence: 99%

Next Generation Wi-Fi and 5G NR-U in the 6 GHz Bands: Opportunities and Challenges

et al. 2020

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The ever-increasing demand for unlicensed spectrum has prompted regulators in the US and Europe to consider opening up the 6 GHz bands for unlicensed access. These bands will open up 1.2 GHz of additional spectrum for unlicensed radio access technologies (RATs), such as Wi-Fi and 5G New Radio Unlicensed (NR-U), in the US and if permitted, 500 MHz of additional spectrum in Europe. The abundance of spectrum in these bands creates new opportunities for the design of mechanisms and features that can support the emerging bandwidth-intensive and latency-sensitive applications. However, coexistence of unlicensed devices both with the bands' incumbent users and across different unlicensed RATs present significant challenges. In this paper, we provide a comprehensive survey of the existing literature on various issues surrounding the operations of unlicensed RATs in the 6 GHz bands. In particular, we discuss how key features in next-generation Wi-Fi are being designed to leverage these additional unlicensed bands. We also shed light on the foreseeable challenges that designers of unlicensed RATs might face in the near future. Our survey encompasses key research papers, contributions submitted to standardization bodies and regulatory agencies, and documents presented at various other venues. Finally, we highlight a few key research problems that are likely to arise due to unlicensed operations in the 6 GHz bands. Tackling these research challenges effectively will be critical in ensuring that the new unlicensed bands are efficiently utilized while guaranteeing the interference-free operation of the bands' incumbent users. INDEX TERMS 6 GHz unlicensed spectrum, IEEE 802.11ax, IEEE 802.11be, 5G NR-U. I. INTRODUCTION Wireless devices operating in unlicensed bands have become an integral part of our lives today. The Federal Communications Commission (FCC) in the US first opened up the 2.4-2.4835 GHz and 5.725-5.85 GHz bands for unlicensed access in 1985 [1]. Since then, several unlicensed radio access technologies (RATs)-most notably IEEE 802.11based Wi-Fi, Bluetooth, and ZigBee-have been developed that can not only operate in these bands but also coexist with each other. The 2.4 GHz band, referred to as the Industrial, Scientific, and Medical (ISM) band, is open for unlicensed access worldwide, while unlicensed RATs such as Wi-Fi are allowed to operate in several portions of the 5 GHz bands in most regions across the world [2]. In the US, these 5 GHz bands are referred to as the Unlicensed National Information Infrastructure (U-NII) bands. Wi-Fi is arguably the most popular unlicensed RAT that provides mobile and high-speed Internet access over wireless local area networks (WLANs). Wi-Fi devices are ubiquitous in today's home and enterprise wireless networks, with an estimated 9.5 billion devices in use [3]. Furthermore, with the growing popularity of emerging applications such as wireless augmented reality (AR), virtual reality (VR), and mobile gaming, the demand for Wi-Fi-based high-throughput, highreliability and low-laten...

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“…Since the standard is still being developed, performance analysis through mathematical modeling is of paramount importance, and researchers have published numerous analytical studies on the 802.11ax MAC protocol [6,7,8,9,10]. Unfortunately, most of these provide only limited analytical results, making it difficult to obtain a complete understanding of 802.11ax.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of the IEEE 802.11ax MAC Protocol for Heterogeneous Wi-Fi Networks in Non-Saturated Conditions

Lee

2019

Sensors

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The IEEE 802.11ax standard, which realizes multi-user transmission based on orthogonal frequency division multiple access (OFDMA), has been highlighted as a key technology to meet high future demand for Wi-Fi systems. Since this standard is still being developed, performance analysis through mathematical modeling is of paramount importance; however, existing studies have several limitations. Firstly, most of these consider only the saturation network throughput, whereas for 802.11ax in particular, the access delay of the nodes needs to be studied carefully, since they no longer acquire the medium independently but depend solely on the access point’s (AP’s) schedule. Secondly, since the network performance may be affected to a greater extent by legacy nodes than by 802.11ax nodes, it is desirable to consider various heterogeneous cases of networks with existing legacy nodes. In this paper, a new analytical framework for the 802.11ax MAC protocol is provided. Markov-chain-based models are developed to represent the behavior of the 802.11ax nodes, and both non-saturated traffic conditions and co-existence with the legacy nodes are considered. Through both analysis and MATLAB simulations, it is shown that the proposed model accurately evaluates the throughput and the delay performance under various network conditions.

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Performance Analysis of Uplink Multi-User OFDMA in IEEE 802.11ax

Cited by 55 publications

References 4 publications

A Target Wake Time Scheduling Scheme for Uplink Multiuser Transmission in IEEE 802.11ax-Based Next Generation WLANs

A Target Wake Time Scheduling Scheme for Uplink Multiuser Transmission in IEEE 802.11ax-Based Next Generation WLANs

Next Generation Wi-Fi and 5G NR-U in the 6 GHz Bands: Opportunities and Challenges

Performance Analysis of the IEEE 802.11ax MAC Protocol for Heterogeneous Wi-Fi Networks in Non-Saturated Conditions

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