The impact of imperfect channel state information (CSI) becomes particularly serious in high-mobility IEEE802.11p systems, e.g., vehicle-to-infrastructure and vehicle-to-vehicle communication. Under the sparse multipath channels environment, this paper proposes an inter-vehicle cooperative channel estimation (IVC-CE) method that can be performed by single or multiple user collaboration in V2I scenario. We investigate an interpolation-assisted channel estimation technique to obtain accurate CSI. Specially, we exploit the movement characteristics of the vehicle as prior knowledge, including location and velocity, to mitigate the impact of incomplete channel knowledge and to compensate for outdated CSI. In addition, we investigate the validity of the IVC-CE using traditional linear minimum mean-squared error(LMMSE algorithm, and the performance is analyzed by mean square error (MSE) and the bit error rate. Simulation and numerical results show the merits of the proposed techniques, which can enhance performance significantly and support reliable safety-critical data transmission for Vehicular Ad Hoc Networks (VANETs).


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    Title :

    Inter-Vehicle Cooperative Channel Estimation for IEEE802.11p Systems


    Contributors:
    Yang, Yan (author)


    Publication date :

    2016-05-01


    Size :

    250696 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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