Convergence improvement in repeating weighted boosting search algorithm for channel estimation

Yuri Taniguchi, Yukitoshi Sanada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The fifth generation mobile communication systems are expected to support the Internet-of-Things (IoT) applications. One of the problems in massive connections is the assignment of pilot sequences. For supporting a large number of the IoT devices, non- orthogonal sequences have to be assigned and a receiver in a base station needs to estimate channel impulse responses (CIRs) by solving a joint optimization problem. In this paper, a new channel estimation scheme for the IoT devices is proposed. The proposed scheme is based on a repeating weighted boosting search algorithm and modifies the generation process of candidate CIR vectors for faster convergence in search iterations. Instead of calculating the sum of weighted candidate CIR vectors, the proposed scheme generates a candidate CIR vector that is assumed to be closer to the global optimum. In this case, the proposed scheme improves the convergence rate as compared to the conventional scheme though the mean square errors (MSE) of the solutions is worse. If the number of subcarriers is limited, the MSE of the estimated CIR vectors with the proposed algorithm is equivalent to that with the conventional scheme. Thus, the proposed scheme is less complex and suitable for massive connections. Numerical results obtained through computer simulation have shown that the proposed scheme achieves faster convergence by about 17-35% as compared to the conventional scheme.

    Original languageEnglish
    Title of host publication2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728112206
    DOIs
    Publication statusPublished - 2019 Sep
    Event90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States
    Duration: 2019 Sep 222019 Sep 25

    Publication series

    NameIEEE Vehicular Technology Conference
    Volume2019-September
    ISSN (Print)1550-2252

    Conference

    Conference90th IEEE Vehicular Technology Conference, VTC 2019 Fall
    CountryUnited States
    CityHonolulu
    Period19/9/2219/9/25

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics

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  • Cite this

    Taniguchi, Y., & Sanada, Y. (2019). Convergence improvement in repeating weighted boosting search algorithm for channel estimation. In 2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings [8891175] (IEEE Vehicular Technology Conference; Vol. 2019-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2019.8891175