Predictive channel selection: practical implementation and a social-aware vision for spectrum use

Marko Höyhtyä (Corresponding Author), Juha Korpi, Mikko Hiivala

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    This paper demonstrates a predictive channel selection method by implementing it in software-defined radio (SDR)platforms and measuring the performance using over-the-air video transmissions. The method uses both long term and short term history information in selecting the best channel for data transmission. Controlled interference is generated in the used channels and the proposed method is compared to reference methods. The achieved results show that the predictive method is a practical one, able to increase the throughput and reduce number of collisions and channel switches by using history information intelligently. The method is developed further and a cellular assisted social-aware method that enables efficient use of D2D links is defined in the end of this paper.
    Original languageEnglish
    Article numbere2
    JournalEAI Endorsed Transactions on Cognitive Communications
    Volume17
    Issue number10
    DOIs
    Publication statusPublished - 2017
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Data communication systems
    Switches
    Throughput
    Air

    Keywords

    • cognitive radio
    • spectrum sharing
    • spectrum databases

    Cite this

    @article{8dd797ee459c41bd9045879ed601d5d8,
    title = "Predictive channel selection: practical implementation and a social-aware vision for spectrum use",
    abstract = "This paper demonstrates a predictive channel selection method by implementing it in software-defined radio (SDR)platforms and measuring the performance using over-the-air video transmissions. The method uses both long term and short term history information in selecting the best channel for data transmission. Controlled interference is generated in the used channels and the proposed method is compared to reference methods. The achieved results show that the predictive method is a practical one, able to increase the throughput and reduce number of collisions and channel switches by using history information intelligently. The method is developed further and a cellular assisted social-aware method that enables efficient use of D2D links is defined in the end of this paper.",
    keywords = "cognitive radio, spectrum sharing, spectrum databases",
    author = "Marko H{\"o}yhty{\"a} and Juha Korpi and Mikko Hiivala",
    year = "2017",
    doi = "10.4108/eai.23-2-2017.152186",
    language = "English",
    volume = "17",
    journal = "EAI Endorsed Transactions on Cognitive Communications",
    issn = "2313-4534",
    publisher = "European Alliance for Innovation EAI",
    number = "10",

    }

    Predictive channel selection: practical implementation and a social-aware vision for spectrum use. / Höyhtyä, Marko (Corresponding Author); Korpi, Juha; Hiivala, Mikko.

    In: EAI Endorsed Transactions on Cognitive Communications, Vol. 17, No. 10, e2, 2017.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Predictive channel selection: practical implementation and a social-aware vision for spectrum use

    AU - Höyhtyä, Marko

    AU - Korpi, Juha

    AU - Hiivala, Mikko

    PY - 2017

    Y1 - 2017

    N2 - This paper demonstrates a predictive channel selection method by implementing it in software-defined radio (SDR)platforms and measuring the performance using over-the-air video transmissions. The method uses both long term and short term history information in selecting the best channel for data transmission. Controlled interference is generated in the used channels and the proposed method is compared to reference methods. The achieved results show that the predictive method is a practical one, able to increase the throughput and reduce number of collisions and channel switches by using history information intelligently. The method is developed further and a cellular assisted social-aware method that enables efficient use of D2D links is defined in the end of this paper.

    AB - This paper demonstrates a predictive channel selection method by implementing it in software-defined radio (SDR)platforms and measuring the performance using over-the-air video transmissions. The method uses both long term and short term history information in selecting the best channel for data transmission. Controlled interference is generated in the used channels and the proposed method is compared to reference methods. The achieved results show that the predictive method is a practical one, able to increase the throughput and reduce number of collisions and channel switches by using history information intelligently. The method is developed further and a cellular assisted social-aware method that enables efficient use of D2D links is defined in the end of this paper.

    KW - cognitive radio

    KW - spectrum sharing

    KW - spectrum databases

    U2 - 10.4108/eai.23-2-2017.152186

    DO - 10.4108/eai.23-2-2017.152186

    M3 - Article

    VL - 17

    JO - EAI Endorsed Transactions on Cognitive Communications

    JF - EAI Endorsed Transactions on Cognitive Communications

    SN - 2313-4534

    IS - 10

    M1 - e2

    ER -