MU-Massive MIMO for UWA Communication

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Abstract

The present paper considers the application of massive multiple-input multiple-output (MIMO) to a multi-user (MU) underwater acoustic (UWA) communication system. In the scope to achieve a high throughput within a limited acoustic bandwidth, we consider filterbank multicarrier (FBMC) modulation for wave-form shaping instead of the widely used orthogonal frequency division multiplexing (OFDM). We assess the performance of the system in a 1km simulated time-varying underwater acoustic channel (UAC) in terms of bit error rate (BER), packet error rate (PER) and maximum achievable throughput. The transmission scenario consists of four users, each one equipped with multiple transmitting hydrophones. We show that the implementation of massive MIMO at the receiver allows all the users to use the same frequency bandwidth to transmit their information reliably to the receiver. Therefore, a high spectral efficiency and throughput can be achieved, making the transmission of multimedia data such as high quality real-time video a reality.
Original languageEnglish
Title of host publication2018 IEEE 88th Vehicular Technology Conference (VTC-Fall 2018)
Subtitle of host publicationProceedings of a meeting held 27-30 August 2018, Chicago, Illinois, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1754-1758
Number of pages5
ISBN (Electronic)9781538663585
ISBN (Print)9781538663592
DOIs
Publication statusPublished - Jun 2019
Event88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
Duration: 27 Aug 201830 Aug 2018

Publication series

Name
ISSN (Print)1090-3038

Conference

Conference88th IEEE Vehicular Technology Conference, VTC-Fall 2018
CountryUnited States
CityChicago
Period27/08/1830/08/18

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  • Student Theses

    Underwater Wireless Video Transmission for Remotely Operated Underwater Vehicles

    Author: Bocus, J., 1 Oct 2019

    Supervisor: Agrafiotis, D. (Supervisor), Doufexi, A. (Supervisor) & Nix, A. (Supervisor)

    Student thesis: Doctoral ThesisDoctor of Philosophy (PhD)

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    Cite this

    Bocus, J., Doufexi, A., & Agrafiotis, D. (2019). MU-Massive MIMO for UWA Communication. In 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall 2018): Proceedings of a meeting held 27-30 August 2018, Chicago, Illinois, USA (pp. 1754-1758). [8690941] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/VTCFall.2018.8690941