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- W4214908527 abstract "The authors have proposed a practical transmission datarate adaptation (TDA) scheme using Q-learning applicable to IEEE 802.11ax wireless local area networks (WLANs). In the proposed scheme, each basic service set (BSS) selects an appropriate transmission datarate according to the buffer statuses of adjacent BSSs which are periodically collected and the transmission results of DATA frames in the BSS. Then, the BSS conducts underlay transmissions based on the framework of spatial reuse defined in IEEE 802.11ax. This paper compares two methods of Q-value update. One method is the frame-by-frame update taking account for the payload length and the transmission datarate of each DATA frame. The other method is the periodic update based on the total throughput in a BSS. The performance of the proposed scheme is evaluated through system-level computer simulation based on IEEE 802.11ax WLAN assuming downlink and uplink full-buffer traffic. It is confirmed that the proposed scheme can achieve better average area throughput than conventional Robust Rate Adaptation Algorithm (RRAA) and adaptive modulation and coding (AMC) in most of cases. It is also confirmed that the frame-by-frame Q-value update can achieve better area throughput than the periodic update based on the total throughput." @default.
- W4214908527 created "2022-03-05" @default.
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- W4214908527 date "2022-02-21" @default.
- W4214908527 modified "2023-09-27" @default.
- W4214908527 title "A Study on Update Frequency of Q-Learning-based Transmission Datarate Adaptation using Redundant Check Information for IEEE 802.11ax Wireless LAN" @default.
- W4214908527 doi "https://doi.org/10.1109/icaiic54071.2022.9722633" @default.
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