Multi-user Parallel Channel Access for high efficiency carrier grade wireless LANs

Lou, Hanqing; Wang, Xiaofei; Fang, Juan; Ghosh, Monisha; Zhang, Guodong; Olesen, Robert L.

doi:10.1109/icc.2014.6883924

Cited by 19 publications

(30 citation statements)

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“…ii. Related work of centralized scheduling in AP Lou et al [63] propose that the AP is able to achieve DL and UL OFDMA Due to the simple process of centralized scheduling in AP, IEEE 802.11ax adopts OFDMA access based on centralized scheduling in AP.…”

Section: ) Ofdma Based Mu-macmentioning

confidence: 99%

Survey and Performance Evaluation of the Upcoming Next Generation WLANs Standard - IEEE 802.11ax

Yang

et al. 2019

Mobile Netw Appl

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With the ever-increasing demand for wireless traffic and quality of serives (QoS), wireless local area networks (WLANs) have developed into one of the most dominant wireless networks that fully influence human life. As the most widely used WLANs standard, Institute of Electrical and Electronics Engineers (IEEE) 802.11 will release the upcoming next generation WLANs standard amendment: IEEE 802.11ax. This article comprehensively surveys and analyzes the application scenarios, technical requirements, standardization process, key technologies, and performance evaluations of IEEE 802.11ax. Starting from the technical objectives and requirements of IEEE 802.11ax, this article pays special attention to high-dense deployment scenarios. After that, the key technologies of IEEE 802.11ax, including the physical layer (PHY) enhancements, multi-user (MU) medium access control (MU-MAC), spatial reuse (SR), and power efficiency are discussed in detail, covering both standardization technologies as well as the latest academic studies. Furthermore, performance requirements of IEEE 802.11ax are evaluated via a newly proposed systems and link-level integrated simulation platform (SLISP). Simulations results confirm that IEEE 802.11ax significantly improves the user experience in high-density deployment, while successfully achieves the average per user throughput requirement in project authorization request (PAR) by four times compared to the legacy IEEE 802.11. Finally, potential advancement beyond IEEE 802.11ax are discussed to complete this holistic study on the latest IEEE 802.11ax. To the best of our knowledge, this article is the first study to directly investigate and analyze the latest stable version of IEEE 802.11ax, and the first work to thoroughly and deeply evaluate the compliance of the performance requirements of IEEE 802.11ax.

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Section: ) Ofdma Based Mu-macmentioning

confidence: 99%

Survey and Performance Evaluation of the Upcoming Next Generation WLANs Standard - IEEE 802.11ax

Yang

et al. 2019

Mobile Netw Appl

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“…In terms of the various evaluation criteria used for our algorithms and previous research, and used for comparison between the previous research [ 21 , 22 , 23 , 24 ] and our algorithm is proposed as Table 2 . The MU transmission and MU access represent feature of simultaneous channel access and concurrent data transmission of STAs by taking advantage of the frequency orthogonality of OFDMA.…”

Section: Proposed Opportunistic Medium Accessmentioning

confidence: 99%

Interference-Aware Adaptive Beam Alignment for Hyper-Dense IEEE 802.11ax Internet-of-Things Networks

Kwon

Kim

et al. 2018

Sensors

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The increasing use of Internet of Things (IoT) devices in specific areas results in an interference among them and the quality of communications can be severely degraded. To deal with this interference issue, the IEEE 802.11ax standard has been established in hyper-dense wireless networking systems. The 802.11ax adopts a new candidate technology that is called multiple network allocation vector in order to mitigate the interference problem. In this paper, we point out a potential problem in multiple network allocation vector which can cause delays to communication among IoT devices in hyper-dense wireless networks. Furthermore, this paper introduces an adaptive beam alignment algorithm for interference resolution, and analyzes the potential delays of communications among IoT devices under interference conditions. Finally, we simulate our proposed algorithm in densely deployed environments and show that the interference can be mitigated and the IEEE 802.11ax-based IoT devices can utilize air interface more fairly compared to conventional IEEE 802.11 distributed coordination function.

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“…In the following subsections, the mechanism and analytical model of the proposed medium access control algorithms and related assumptions are presented. In terms of the various evaluation criteria used for our algorithms and previous research, and used for comparison between the previous research [21][22][23][24] and our algorithm is proposed as Table 2. The MU transmission and MU access represent feature of simultaneous channel access and concurrent data transmission of STAs by taking advantage of the frequency orthogonality of OFDMA.…”

Section: Proposed Opportunistic Medium Accessmentioning

confidence: 99%

Interference-Aware Adaptive Beam Alignment for Hyper-Dense IEEE 802.11ax Internet-of-Things Networks

Kwon

Kim

et al. 2018

Preprint

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Multi-user Parallel Channel Access for high efficiency carrier grade wireless LANs

Cited by 19 publications

References 0 publications

Survey and Performance Evaluation of the Upcoming Next Generation WLANs Standard - IEEE 802.11ax

Survey and Performance Evaluation of the Upcoming Next Generation WLANs Standard - IEEE 802.11ax

Interference-Aware Adaptive Beam Alignment for Hyper-Dense IEEE 802.11ax Internet-of-Things Networks

Interference-Aware Adaptive Beam Alignment for Hyper-Dense IEEE 802.11ax Internet-of-Things Networks

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