research-article

Wi-Fi Channel Selection Based on Urban Interference Measurement

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Mineo TakaiAuthors Info & Claims

MOBIQUITOUS 2016: Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

Pages 143 - 150

https://doi.org/10.1145/2994374.2994402

Published: 28 November 2016 Publication History

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Abstract

Increasing availability and usability enhancement of Wi-Fi in public areas has become more active. However, due to the dense deployment of Wi-Fi access points (APs), there is a chaotic and disorderly environment in urban areas. In our previous work, we have designed a function that predicts the network performance at each Wi-Fi AP according to the measurement of IEEE802.11 MAC frames sensed in each Wi-Fi channel. However, it was not examined in such scenarios assuming urban environment. We should understand the situations of current Wi-Fi AP deployment and traffic conditions, and should confirm the effectiveness of channel migration in such realistic environment. In this study, we proposed urban Wi-Fi channel utilization model based on real urban Wi-Fi measurement. We show that our method can predict the best channels and APs can migrate to them in the urban scenario.

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Cited By

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Oyedare TShah VJakubisin DReed J(2022)Interference Suppression Using Deep Learning: Current Approaches and Open ChallengesIEEE Access10.1109/ACCESS.2022.318512410(66238-66266)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3185124
Amano THigashino T(2019)Outdoor Wi-Fi RSSI Map Construction Based on Crowdsourcing and Simulation2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PERCOMW.2019.8730836(443-444)Online publication date: Mar-2019
https://doi.org/10.1109/PERCOMW.2019.8730836
Amano TKajita SYamaguchi HHigashino TTakai M(2017)A crowdsourcing and simulation based approach for fast and accurate Wi-Fi radio map construction in urban environment2017 IFIP Networking Conference (IFIP Networking) and Workshops10.23919/IFIPNetworking.2017.8264841(1-9)Online publication date: Jun-2017
https://doi.org/10.23919/IFIPNetworking.2017.8264841
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Published In

MOBIQUITOUS 2016: Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

November 2016

307 pages

ISBN:9781450347501

DOI:10.1145/2994374

General Chairs:
Takahiro Hara
Osaka University, Japan
,
Hiroshi Shigeno
Keio University, Japan

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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EAI: The European Alliance for Innovation
SIGAPP: ACM Special Interest Group on Applied Computing
SIGBED: ACM Special Interest Group on Embedded Systems
KDDI R&D Laboratories Inc.

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Association for Computing Machinery

New York, NY, United States

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Published: 28 November 2016

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MOBIQUITOUS 2016

MOBIQUITOUS 2016: Computing, Networking and Services

November 28 - December 1, 2016

Hiroshima, Japan

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MOBIQUITOUS 2016 Paper Acceptance Rate 26 of 87 submissions, 30%;

Overall Acceptance Rate 26 of 87 submissions, 30%

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Oyedare TShah VJakubisin DReed J(2022)Interference Suppression Using Deep Learning: Current Approaches and Open ChallengesIEEE Access10.1109/ACCESS.2022.318512410(66238-66266)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3185124
Amano THigashino T(2019)Outdoor Wi-Fi RSSI Map Construction Based on Crowdsourcing and Simulation2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PERCOMW.2019.8730836(443-444)Online publication date: Mar-2019
https://doi.org/10.1109/PERCOMW.2019.8730836
Amano TKajita SYamaguchi HHigashino TTakai M(2017)A crowdsourcing and simulation based approach for fast and accurate Wi-Fi radio map construction in urban environment2017 IFIP Networking Conference (IFIP Networking) and Workshops10.23919/IFIPNetworking.2017.8264841(1-9)Online publication date: Jun-2017
https://doi.org/10.23919/IFIPNetworking.2017.8264841
Perez-Diaz-de-Cerio DValenzuela JGarcia-Lozano M(2017)Audit of a Real Wi-Fi Deployment to Provide Data, VoIP Communications and an IIoT Item Location ServiceJournal of Communications10.12720/jcm.12.10.565-571(565-571)Online publication date: 2017
https://doi.org/10.12720/jcm.12.10.565-571

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Low‐complexity iterative interference cancellation multiuser detection based on channel selection and adaptive transmission

Co-Channel and Adjacent Channel Interference in Wireless Cellular Communications

Measurement-based methods for channel selection in 802.11 WLANs

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