Cooperative perception has been shown an effective approach to address the perception limitation problem faced by the individual perception in the era of autonomous driving. Considering a two-source two-hop cooperative perception vehicular network, we investigate the average age of information (AoI) with different automatic repeat-request (ARQ) strategies in this paper. We formulate the packet transmission process as a Markov chain, which allows us to establish linear equations about the first and second moments of all states’ residual waiting time for the destination to receive a new update packet. Then, we derive the average AoI based on the analytical solution to the equations. Furthermore, the analysis is applied to a special case of the single-source two-hop cooperative perception system. Simulation results show that the optimal strategy is neither non-ARQ nor infinite-ARQ, but truncated ARQ, which means that there exists a finite retransmission limit to minimize the average AoI, implying that better cooperative perception can be achieved by optimizing the retransmission limit, especially in the single-source two-hop situation.


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    Titel :

    AoI Analysis for Automatic Repeat-Request in Vehicular Cooperative Perception Networks


    Beteiligte:
    Huang, Qinan (Autor:in) / Zeng, Jianhua (Autor:in) / Guo, Chongtao (Autor:in) / Liu, Jing (Autor:in) / Pan, Haoyuan (Autor:in)


    Erscheinungsdatum :

    07.10.2024


    Format / Umfang :

    620992 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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