MURAL - Maynooth University Research Archive Library



    Massive MIMO for Decentralized Estimation over Coherent Multiple Access Channels


    Shirazinia, Amirpasha and Dey, Subhrakanti and Ciuonzo, Domenico and Salvo Rossi, Pierluigi (2019) Massive MIMO for Decentralized Estimation over Coherent Multiple Access Channels. In: 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, pp. 241-245. ISBN 978-1-4799-1931-4

    [img]
    Preview
    Download (270kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    We consider a decentralized multisensor estimation problem where L sensor nodes observe noisy versions of a possibly correlated random source. The sensors amplify and forward their observations over a fading coherent multiple access channel (MAC) to a fusion center (FC). The FC is equipped with a large array of N antennas, and adopts a minimum mean square error (MMSE) approach for estimating the source. We optimize the amplification factor (or equivalently transmission power) at each sensor node in two different scenarios: 1) with the objective of total power minimization subject to mean square error (MSE) of source estimation constraint, and 2) with the objective of minimizing MSE subject to total power constraint. For this purpose, we apply an asymptotic approximation based on the massive multiple-input-multiple-output (MIMO) favorable propagation condition (when L ≪ N). We use convex optimization techniques to solve for the optimal sensor power allocation in 1) and 2). In 1), we show that the total power consumption at the sensors decays as 1/N, replicating the power savings obtained in Massive MIMO mobile communications literature. Through numerical studies, we also illustrate the superiority of the proposed optimal power allocation methods over uniform power allocation.

    Item Type: Book Section
    Additional Information: Cite as: A. Shirazinia, S. Dey, D. Ciuonzo and P. Salvo Rossi, "Massive MIMO for decentralized estimation over coherent multiple access channels," 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2015, pp. 241-245, doi: 10.1109/SPAWC.2015.7227036.
    Keywords: Decentralized estimation; Massive MIMO; Coherent MAC; Convex optimization; Power allocation;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14530
    Identification Number: https://doi.org/10.1109/SPAWC.2015.7227036
    Depositing User: Subhrakanti Dey
    Date Deposited: 15 Jun 2021 14:14
    Publisher: IEEE
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year