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  • 1.
    Bocharova, Irina
    et al.
    St.-Petersburg University of Information Technologies, Mechanics and Optics, St.-Petersburg, Russia & University of Tartu, Tartu, Estonia.
    Kudryashov, Boris
    St.-Petersburg University of Information Technologies, Mechanics and Optics, St.-Petersburg, Russia & University of Tartu, Tartu, Estonia.
    Lyamin, Nikita
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Frick, Erik
    AstaZero Hällered, Sandhult, Sweden.
    Rabi, Maben
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). Department of Electrical Engineering, Western Norway University of Applied Sciences, Bergen, Norway.
    Low Delay Inter-Packet Coding in Vehicular Networks2019In: Future Internet, ISSN 1999-5903, E-ISSN 1999-5903, Vol. 11, no 12, article id 212Article in journal (Refereed)
    Abstract [en]

    In Cooperative Intelligent Transportation Systems (C-ITSs), vehicles need to wirelessly connect with Roadside units (RSUs) over limited durations when such point-to-point connections are possible. One example of such communications is the downloading of maps to the C-ITS vehicles. Another example occurs in the testing of C-ITS vehicles, where the tested vehicles upload trajectory records to the roadside units. Because of real-time requirements, and limited bandwidths, data are sent as User Datagram Protocol (UDP) packets. We propose an inter-packet error control coding scheme that improves the recovery of data when some of these packets are lost; we argue that the coding scheme has to be one of convolutional coding. We measure performance through the session averaged probability of successfully delivering groups of packets. We analyze two classes of convolution codes and propose a low-complexity decoding procedure suitable for network applications. We conclude that Reed–Solomon convolutional codes perform better than Wyner–Ash codes at the cost of higher complexity. We show this by simulation on the memoryless binary erasure channel (BEC) and channels with memory, and through simulations of the IEEE 802.11p DSRC/ITS-G5 network at the C-ITS test track AstaZero.

  • 2.
    Bocharova, Irina
    et al.
    ITMO University, Saint Petersburg, Russia & University of Tartu, Tartu, Estonia.
    Kudryashov, Boris
    ITMO University, Saint Petersburg, Russia & University of Tartu, Tartu, Estonia.
    Rabi, Maben
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Lyamin, Nikita
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Dankers, Wouter
    Volvo GTT, Göteborg, Sweden.
    Frick, Erik
    AstaZero, Hällered, Sweden.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Modeling Packet Losses in Communication Networks2019In: 2019 IEEE International Symposium on Information Theory: Proceedings, 2019, p. 1012-1016Conference paper (Refereed)
    Abstract [en]

    An approach to constructing discrete models of packet losses suitable for a wide variety of communication network applications is studied. It is based on estimating parameters of probabilistic automata described via so-called pseudo-Markov chains. The new technique is applied both to approximating a discrete time analog process at the output of known channel models and to the experimental data stream. Comparison of models is performed by computing probabilities of more than m losses out of n transmitted packets (P (m, n)). It is shown that for the Rician fading channel with exponential correlation and correlation determined by a Bessel filter, the obtained rank-two and rank-three discrete modes, respectively, provide high accuracy coincidence of P (m, n) performances. The rank-three discrete model computed on the experimental data stream obtained from the LTE network provides significantly better approximation of P (≥ m, n) performance than that obtained by the Baum-Welch algorithm.

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