Real-time video transmission using massive MIMO in an underwater acoustic channel

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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212 Downloads (Pure)

Abstract

In this paper we propose to use massive multiple-input multiple-output (MIMO) systems in order to boost the throughput over a 1000 m vertically-configured time-varying underwater acoustic channel (UAC). We compare the bit error rate (BER) performance of un-coded and Turbo-coded massive MIMO systems based on filter bank multicarrier (FBMC) modulation and Orthogonal Frequency Division Multiplexing (OFDM). A modified FBMC system is considered whereby complex data symbols are transmitted instead of real-valued ones. This is made possible by spreading the data symbols in time while still ensuring maximum bandwidth efficiency and low complexity. It is shown that the coded FBMC systems outperform the coded OFDM systems both in terms of error performance and bit rate for similar massive MIMO configuration. Video transmission is evaluated over the UAC with the systems that achieve the highest bit rates and it is shown that real-time transmission is possible with acceptable video quality over the long range acoustic link.

Original languageEnglish
Title of host publication2018 IEEE Wireless Communications and Networking Conference (WCNC 2018)
Subtitle of host publicationProceedings of a meeting held 15-18 April 2018, Barcelona, Spain
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2069-2074
Number of pages6
ISBN (Electronic)9781538617342
ISBN (Print)9781538617359
DOIs
Publication statusPublished - Jul 2018
Event2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain
Duration: 15 Apr 201818 Apr 2018

Publication series

Name
ISSN (Print)1525-3511

Conference

Conference2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
CountrySpain
CityBarcelona
Period15/04/1818/04/18

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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., Agrafiotis, D., & Doufexi, A. (2018). Real-time video transmission using massive MIMO in an underwater acoustic channel. In 2018 IEEE Wireless Communications and Networking Conference (WCNC 2018): Proceedings of a meeting held 15-18 April 2018, Barcelona, Spain (pp. 2069-2074). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/WCNC.2018.8376952