University of Oulu

T. Kanda, Y. Koda, K. Yamamoto and T. Nishio, "ACK-Less Rate Adaptation for IEEE 802.11bc Enhanced Broadcast Services Using Sim-to-Real Deep Reinforcement Learning," 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2022, pp. 139-143, doi: 10.1109/CCNC49033.2022.9700707

ACK-less rate adaptation for IEEE 802.11bc enhanced broadcast services using sim-to-real deep reinforcement learning

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Author: Kanda, Takamochi1; Koda, Yusuke2; Yamamoto, Koji1;
Organizations: 1Graduate School of Informatics, Kyoto University, Kyoto, Japan
2Centre for Wireless Communications, University of Oulu, Oulu, Finland
3School of Engineering, Tokyo Institute of Technology, Tokyo, Japan
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2023-02-10


In IEEE 802.11bc, the broadcast mode on wireless local area networks (WLANs), data rate control that is based on acknowledgement (ACK) mechanism similar to the one in the current IEEE 802.11 WLANs is not applicable because the ACK mechanism is not implemented. This paper addresses this challenge by proposing ACK-less data rate adaptation methods by capturing non-broadcast uplink frames of STAs. In IEEE 802.11bc, a use case is assumed, where a part of STAs in the broadcast recipients is also associated with non-broadcast APs, and such STAs periodically transmit uplink frames including ACK frames. The proposed method is based on the idea that by overhearing such uplink frames, the broadcast AP surveys channel conditions at partial STAs, thereby setting appropriate data rates for the STAs. Furthermore, to avoid reception failures in a large portion of STAs, this paper proposes deep reinforcement learning (DRL)-based data rate adaptation framework that uses a sim-to-real approach. Therein, information of reception success/failure at broadcast recipient STAs, that could not be notified to the broadcast AP in real deployments, is made available by simulations beforehand, thereby forming data rate adaptation strategies. Numerical results show that utilizing overheard uplink frames of recipients makes it feasible to manage data rates in ACK-less broadcast WLANs, and using the sim-to-real DRL framework can decrease reception failures.

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Series: IEEE Consumer Communications and Networking Conference
ISSN: 2331-9852
ISSN-E: 2331-9860
ISSN-L: 2331-9852
ISBN: 978-1-6654-3161-3
ISBN Print: 978-1-6654-3162-0
Pages: 139 - 143
DOI: 10.1109/ccnc49033.2022.9700707
Host publication: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
Conference: Annual Consumer Communications & Networking Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research and development work was supported by theMIC/SCOPE #JP196000002.
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