@inproceedings{5b4a7452a5dd412cb52d8aa4038695a5,
title = "Grouping Based Beamform Training Scheme for the Next Generation Millimeter Wave WLAN",
abstract = "The application of wireless local area network (WLAN) technology can make devices connected to the network move. On this basis, the millimeter wave WLAN protocol and beamforming (BF) technology enables wireless communication to support the transmission of services with ultra-high data rates. But the problem of conflict when station (STA) nodes perform BF training during the associated beamforming training (A-BFT) period is still unsolved. Therefore, this paper proposes a grouping based BF training scheme for the next generation millimeter wave WLAN to reduce conflict. The simulation results show that this scheme can effectively reduce the collision probability of STAs during BF training. Finally, it can improve the efficiency of information transmission and can be used in future improvements for the millimeter wave WLAN protocol.",
keywords = "A-BFT period, BF training, Collision probability of STAs, Grouping based BF training, Millimeter wave WLAN",
author = "Linlong Guo and Yong Fang and Mao Yang and Zhongjiang Yan and Bo Li",
note = "Publisher Copyright: {\textcopyright} 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 4th EAI International Conference on Smart Grid and Internet of Things, SGIoT 2020 ; Conference date: 05-12-2020 Through 06-12-2020",
year = "2021",
doi = "10.1007/978-3-030-69514-9\_26",
language = "英语",
isbn = "9783030695132",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "326--339",
editor = "Yi-Bing Lin and Der-Jiunn Deng",
booktitle = "Smart Grid and Internet of Things - 4th EAI International Conference, SGIoT 2020, Proceedings",
}