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Latency Oriented OFDMA Random Access Scheme for the Next Generation WLAN: IEEE 802.11be

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Smart Grid and Internet of Things (SGIoT 2020)

Abstract

Real-time applications (RTA) develop rapidly these days. Latency sensitive traffic guarantee becomes increasingly important and challenging in wireless local area network (WLAN). In order to tackle the problem, this paper proposes a latency oriented random access scheme, which is compatible with IEEE 802.11 standards, based on orthogonal frequency division multiple access (OFDMA) in the next generation WLAN: IEEE 802.11be. AP utilizes trigger frame (TF) based OFDMA random access and reserves several resource units (RUs) for latency sensitive traffic only. According to the collision status in the past TF as well as the traffic arrival features, we theoretically analyze the estimated number of STAs who will have latency sensitive data to send during the next TF interaction. Thus, AP can allocate appropriate RUs for latency sensitive STAs dynamically. The simulation results show that the proposed dynamic RU adjusting algorithm outperforms the other schemes in both throughput and delay. The throughput utility of the proposed algorithm is 19.69% higher than that of IEEE 802.11ax. And the delay utility is 21.39% lower than that of IEEE 802.11ax, which validates the effectiveness of the proposed algorithm.

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Acknowledgement

This work was supported in part by Science and Technology on Avionics Integration Laboratory and the Aeronautical Science Foundation of China (Grant No. 20185553035), the National Natural Science Foundations of CHINA (Grant No. 61871322, No. 61771392, No. 61771390, and No. 61501373), and Science and Technology on Avionics Integration Laboratory and the Aeronautical Science Foundation of China (Grant No. 201955053002).

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Correspondence to Mao Yang .

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Jiang, Z., Li, B., Yang, M., Yan, Z. (2021). Latency Oriented OFDMA Random Access Scheme for the Next Generation WLAN: IEEE 802.11be. In: Lin, YB., Deng, DJ. (eds) Smart Grid and Internet of Things. SGIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-69514-9_28

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  • DOI: https://doi.org/10.1007/978-3-030-69514-9_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69513-2

  • Online ISBN: 978-3-030-69514-9

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