An Adaptive Beamtracking Method for the Next Generation mmWave WLAN

Qingkun Li; Mao Yang; Zhongjiang Yan; Bo Li

doi:10.1007/978-3-031-31275-5_24

An Adaptive Beamtracking Method for the Next Generation mmWave WLAN

Qingkun Li, Mao Yang, Zhongjiang Yan, Bo Li

School of Electronics and Information

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the development of next generation mobile communication and short distance communication, mmWave is becoming more and more critical. The transmission rate and bandwidth of mmWave are greater than that of low frequency band. mmWave can effectively provide large-flow and low-latency service over short distances. Next generation WLAN, such as 802.11ad/ay, already uses mmWave. mmWave uses the directional gain antenna, and beamtracking is performed to determine the new working beam when one end of the communication is displaced. The beamtracking method is designed in detail in 802.11ad /ay: beamtracking is performed after data is sent. This method takes the delay into account, but it is easy to lose packets when nodes move quickly. To address this issue, we design an adaptive beamtracking method (ABT), which adjusts the order of sending data and performing beamtracking according to the number of consecutive beamtracking request. It can take both throughput and delay into account. The simulation results show that the adaptive beamtracking method can achieve the same delay as the beamtracking method in 802.11ad/ay, and the throughput is greater than the beamtracking method in 802.11ad/ay.

Original language	English
Title of host publication	Smart Grid and Internet of Things - 6th EAI International Conference, SGIoT 2022, Proceedings
Editors	Der-Jiunn Deng, Han-Chieh Chao, Jyh-Cheng Chen
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	254-265
Number of pages	12
ISBN (Print)	9783031312748
DOIs	https://doi.org/10.1007/978-3-031-31275-5_24
State	Published - 2023
Event	6th International Conference on Smart Grid and Internet of Things, SGIoT 2022 - TaiChung, Taiwan, Province of China Duration: 19 Nov 2022 → 20 Nov 2022

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	497 LNICST
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	6th International Conference on Smart Grid and Internet of Things, SGIoT 2022
Country/Territory	Taiwan, Province of China
City	TaiChung
Period	19/11/22 → 20/11/22

Keywords

802.11ad/ay
Beamtracking
mmWave
Next generation WLAN

Access to Document

10.1007/978-3-031-31275-5_24

Cite this

Li, Q., Yang, M., Yan, Z., & Li, B. (2023). An Adaptive Beamtracking Method for the Next Generation mmWave WLAN. In D.-J. Deng, H.-C. Chao, & J.-C. Chen (Eds.), Smart Grid and Internet of Things - 6th EAI International Conference, SGIoT 2022, Proceedings (pp. 254-265). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 497 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-31275-5_24

Li, Qingkun ; Yang, Mao ; Yan, Zhongjiang et al. / An Adaptive Beamtracking Method for the Next Generation mmWave WLAN. Smart Grid and Internet of Things - 6th EAI International Conference, SGIoT 2022, Proceedings. editor / Der-Jiunn Deng ; Han-Chieh Chao ; Jyh-Cheng Chen. Springer Science and Business Media Deutschland GmbH, 2023. pp. 254-265 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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title = "An Adaptive Beamtracking Method for the Next Generation mmWave WLAN",

abstract = "With the development of next generation mobile communication and short distance communication, mmWave is becoming more and more critical. The transmission rate and bandwidth of mmWave are greater than that of low frequency band. mmWave can effectively provide large-flow and low-latency service over short distances. Next generation WLAN, such as 802.11ad/ay, already uses mmWave. mmWave uses the directional gain antenna, and beamtracking is performed to determine the new working beam when one end of the communication is displaced. The beamtracking method is designed in detail in 802.11ad /ay: beamtracking is performed after data is sent. This method takes the delay into account, but it is easy to lose packets when nodes move quickly. To address this issue, we design an adaptive beamtracking method (ABT), which adjusts the order of sending data and performing beamtracking according to the number of consecutive beamtracking request. It can take both throughput and delay into account. The simulation results show that the adaptive beamtracking method can achieve the same delay as the beamtracking method in 802.11ad/ay, and the throughput is greater than the beamtracking method in 802.11ad/ay.",

keywords = "802.11ad/ay, Beamtracking, mmWave, Next generation WLAN",

author = "Qingkun Li and Mao Yang and Zhongjiang Yan and Bo Li",

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Li, Q, Yang, M, Yan, Z & Li, B 2023, An Adaptive Beamtracking Method for the Next Generation mmWave WLAN. in D-J Deng, H-C Chao & J-C Chen (eds), Smart Grid and Internet of Things - 6th EAI International Conference, SGIoT 2022, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 497 LNICST, Springer Science and Business Media Deutschland GmbH, pp. 254-265, 6th International Conference on Smart Grid and Internet of Things, SGIoT 2022, TaiChung, Taiwan, Province of China, 19/11/22. https://doi.org/10.1007/978-3-031-31275-5_24

An Adaptive Beamtracking Method for the Next Generation mmWave WLAN. / Li, Qingkun; Yang, Mao; Yan, Zhongjiang et al.
Smart Grid and Internet of Things - 6th EAI International Conference, SGIoT 2022, Proceedings. ed. / Der-Jiunn Deng; Han-Chieh Chao; Jyh-Cheng Chen. Springer Science and Business Media Deutschland GmbH, 2023. p. 254-265 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 497 LNICST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - With the development of next generation mobile communication and short distance communication, mmWave is becoming more and more critical. The transmission rate and bandwidth of mmWave are greater than that of low frequency band. mmWave can effectively provide large-flow and low-latency service over short distances. Next generation WLAN, such as 802.11ad/ay, already uses mmWave. mmWave uses the directional gain antenna, and beamtracking is performed to determine the new working beam when one end of the communication is displaced. The beamtracking method is designed in detail in 802.11ad /ay: beamtracking is performed after data is sent. This method takes the delay into account, but it is easy to lose packets when nodes move quickly. To address this issue, we design an adaptive beamtracking method (ABT), which adjusts the order of sending data and performing beamtracking according to the number of consecutive beamtracking request. It can take both throughput and delay into account. The simulation results show that the adaptive beamtracking method can achieve the same delay as the beamtracking method in 802.11ad/ay, and the throughput is greater than the beamtracking method in 802.11ad/ay.

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Li Q, Yang M, Yan Z, Li B. An Adaptive Beamtracking Method for the Next Generation mmWave WLAN. In Deng DJ, Chao HC, Chen JC, editors, Smart Grid and Internet of Things - 6th EAI International Conference, SGIoT 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 254-265. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-031-31275-5_24