Integration of mobility into system characterization can complicate system analysis, as characterizing interference in mobile wireless networks is more difficult, especially when the assumption of independence of users’ distributions is relaxed. However, in some practical systems, quite a number of users may be mobile, making the integration of mobility important. In this paper, mobile users’ coverage in cognitive radio networks is investigated under the assumption that primary users are distributed following the Matern hard core process, while secondary users are distributed following the extended Poisson hole process. A relaying based mobility technique was proposed to sustain coverage at any tagged receiver when such receiver is located outside the coverage of its corresponding tagged transmitter. Analyses of outage probability and average throughput were derived in both primary and secondary networks and verified through simulations. The outcomes of numerical results show that the proposed mobility scheme is capable of improving coverage of mobile users in cognitive networks.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Relaying techniques based outage analysis for mobile users in cognitive radio networks


    Contributors:


    Publication date :

    2020-05-01


    Size :

    169237 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    Analysis of the Outage Probability of Ground-Based Relaying for Satellite Systems

    Hashemi, Hadi / Soret, Beatriz / Aguayo-Torres, M. Carmen | IEEE | 2023


    Outage Probability Analysis of the Relay Network with Correlated Relaying Channels

    Nguyen, Trung-Hien / Louveaux, Jerome / Doncker, Philippe De et al. | IEEE | 2020


    Outage analysis and spectral efficiency of indoor mobile radio systems

    Choong,J. / Everitt,D. / The Univ.of Melbourne,Dep.of Electrical and Electronic Engng.,AU | Automotive engineering | 1995