On the joint impact of SU mobility and PU activity in Cognitive Vehicular Networks with Improved Energy Detection

Om Thakkar, Dhaval K. Patel, Yong Liang Guan, Sumei Sun, Yoong Choon Chang, Joanne Mun Yee Lim

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    3 Citations (Scopus)

    Abstract

    Dynamic Spectrum Access (DSA)/Cognitive Radio (CR) systems access the channel in an opportunistic, noninterfering manner with the primary network, thus being a promising approach to solve the problem of spectrum scarcity. Energy Detection, a spectrum sensing technique for DSA/CR systems, is widely used for blind sensing of unused frequency bands due to its non-parametric sensing ability and computationally low complexity. However, spectrum sensing becomes more challenging in Cognitive Vehicular Networks (CVNs) due to Secondary User's (SU's) mobility and often yields a detection performance loss as compared to static scenarios. In order to mitigate the impact of reduced detection performance due to mobility, the usage of an improved version of energy detection technique is proposed in this paper. Usage of Improved Energy Detection (IED) technique in CVNs results more than 10% increment in DSA/CR system performance. In this paper, we study the joint impact of SU's sensing range, PU's protection range and SU's mobility model on the PU Activity using IED technique in CVNs, with detection probability and probability of false alarm as the performance metrics. Also, we derive a closed form expression for the probability of PU being inside SU's sensing range. Based on the proposed framework, numerical results show great agreement with analysis, yielding a superior performance.

    Original languageEnglish
    Title of host publication2019 IEEE 89th Vehicular Technology Conference (VTC Spring), Proceedings
    EditorsMahamod Ismail, James Irvine
    Place of PublicationPiscataway NJ USA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages1213-1218
    Number of pages6
    ISBN (Electronic)9781728112176, 9781728112169
    ISBN (Print)9781728112183
    DOIs
    Publication statusPublished - 2019
    EventIEEE Vehicular Technology Conference 2019 (Spring) - Kuala Lumpur, Malaysia
    Duration: 28 Apr 20191 May 2019
    Conference number: 89th
    https://ieeexplore.ieee.org/xpl/conhome/8738891/proceeding (Proceedings)

    Publication series

    NameIEEE Vehicular Technology Conference
    PublisherInstitute of Electrical and Electronics Engineers, Inc.
    Volume2019-April
    ISSN (Print)1550-2252

    Conference

    ConferenceIEEE Vehicular Technology Conference 2019 (Spring)
    Abbreviated titleVTC Spring 2019
    Country/TerritoryMalaysia
    CityKuala Lumpur
    Period28/04/191/05/19
    Internet address

    Keywords

    • Cognitive vehicular networks
    • Improved energy detection
    • Pu activity
    • Secondary user mobility

    Cite this