DeepLoc: Deep Neural Network-based Telco Localization

Yige Zhang, Yu Xiao, Kai Zhao, Weixiong Rao

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

9 Lataukset (Pure)

Abstrakti

Recent years have witnessed unprecedented amounts of telecommunication (Telco) data generated by Telco radio and core equipment. For example, measurement records (MRs) are generated to report the connection states, e.g., received signal strength at the mobile device, when mobile devices give phone calls or access data services. Telco historical data (e.g., MRs) have been widely analyzed to understand human mobility and optimize the applications such as urban planning and traffic forecasting. The key of these applications is to precisely localize outdoor mobile devices from these historical MR data. Previous works calculate the location of a mobile device based on each single MR sample, ignoring the sequential and temporal locality hidden in the consecutive MR samples. To address the issue, we propose a deep neural network (DNN)-based localization framework namely DeepLoc to ensemble a recently popular sequence learning model LSTM and a CNN. Without skillful feature design and post-processing steps, DeepLoc can generate a smooth trajectory consisting of accurately predicted locations. Extensive evaluation on 6 datasets collected at three representative areas (core business, urban and suburban areas in Shanghai, China) indicates that DeepLoc greatly outperforms 10 counterparts.
AlkuperäiskieliEnglanti
OtsikkoInternational Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
KustantajaACM
Sivut258-267
Sivumäärä10
ISBN (elektroninen)978-145037283-1
TilaJulkaistu - 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services - Houston, Yhdysvallat
Kesto: 12 marraskuuta 201914 marraskuuta 2019
Konferenssinumero: 16
http://mobiquitous.org/

Conference

ConferenceInternational Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
LyhennettäMOBIQUITOUS
MaaYhdysvallat
KaupunkiHouston
Ajanjakso12/11/201914/11/2019
www-osoite

Sormenjälki Sukella tutkimusaiheisiin 'DeepLoc: Deep Neural Network-based Telco Localization'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

  • Projektit

    DataFog: Datalähtöinen alusta kapasiteetin ja resurssien hallintaan ajoneuvojen sumulaskennassa

    Xiao, Y., Noreikis, M., Zhu, C., Mao, W. & Akgul, Ö.

    01/01/201931/12/2022

    Projekti: Academy of Finland: Other research funding

    Palkinnot

    Best Paper Award

    Yu Xiao (Recipient), marraskuuta 2019

    Palkinto: Palkinto tai huomionosoitus tuotoksesta

  • Aktiviteetit

    • 1 Hosting a visitor

    Weixiong Rao

    Yu Xiao (Host)
    20 heinäkuuta 201824 heinäkuuta 2018

    Aktiviteetti: Hosting a visitor

    Siteeraa tätä

    Zhang, Y., Xiao, Y., Zhao, K., & Rao, W. (2019). DeepLoc: Deep Neural Network-based Telco Localization. teoksessa International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Sivut 258-267). ACM.