Skip to main content

5G HEalth AquacultuRe and Transport validation trials

Deliverables

Initial Solution and Verification of Transport Use Case Trials

This report will describe the detailed solutions for the trial setups and applications as well as solutions and performance evaluation on proposed advanced PHY/MAC solutions.

Initial Solution and Verification of Aquaculture Use Case Trials

This report will describe the detailed solutions for the trial setups and applications.

Initial Solution and Verification of Healthcare Use Case Trials

This report will describe the detailed solutions for the trial setups and applications. It will contain verification reports from the on-boarding process and points of improvements. The report may be divided into sub-reports for each use case.

Use Case Description and Scenario Analysis

This deliverable provides high-level descriptions of the project’s use cases and their functional requirements.

Searching for OpenAIRE data...

Publications

A Distance-based Agglomerative Clustering Algorithm for Multicast Network Tomography

Author(s): Grigorios Kakkavas, Vasileios Karyotis, Symeon Papavassiliou
Published in: ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020, Page(s) 1-7
DOI: 10.1109/icc40277.2020.9149412

Impact of LTE-V2X connectivity on global occupancy maps in a cooperative collision avoidance (CoCA) system

Author(s): Mouawad, N., Mannoni, V., Denis, B., Da Silva, A. P.
Published in: 2021

Exploiting and Evaluating Live 360° Low Latency Video Streaming Using CMAF

Author(s): Mikko Uitto, Antti Heikkinen
Published in: 2020 European Conference on Networks and Communications (EuCNC), 2020, Page(s) 276-280
DOI: 10.1109/eucnc48522.2020.9200954

Advanced 5G validation trials across multiple vertical industries: Health, aquaculture and transport

Author(s): Lu, M., Zhang, H., Wissingh, B., Blokpoel, R.
Published in: : The 8th Transport Research Arena (TRA 2020), 2020

Accurate Narrowband LPWA Ranging: Principles, Performance in AWGN and Multipath Channels

Author(s): Florian Wolf, Sebastien de Rivaz, Francois Dehmas, Valerian Mannoni, Vincent Berg, Jean-Pierre Cances
Published in: 2020 European Conference on Networks and Communications (EuCNC), 2020, Page(s) 149-153
DOI: 10.1109/eucnc48522.2020.9200944

Experimental evaluation of a traffic warning system based on accurate driver condition assessment and 5G connectivity

Author(s): Apilo, O., Pinola, J., Ahola, R., Kemppainen, J., Happonen, J
Published in: 2021

C-V2X network slicing framework for 5G-enabled vehicle platooning applications

Author(s): Lekidis, A., Bouali, F
Published in: 2021

LTE-V2X performance evaluation for cooperative collision avoidance (CoCA) systems

Author(s): Arturo Guizar, Valerian Mannoni, Federico Poli, Benoit Denis, Vincent Berg
Published in: 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 2020, Page(s) 1-5
DOI: 10.1109/vtc2020-fall49728.2020.9348621

Potential 5G applications for connected vehicles: Use cases, opportunities and challenges

Author(s): Lu, M., Bouali, F
Published in: 2020

Performance Analysis of K Means Clustering Algorithms for mMTC Systems

Author(s): Haesik Kim
Published in: 2020 International Conference on Information and Communication Technology Convergence (ICTC), 2020, Page(s) 30-35
DOI: 10.1109/ictc49870.2020.9289287

Multi-frequency phase difference of arrival for precise localization in narrowband LPWA networks

Author(s): Wolf, F., Berg, V., Dehmas, F., Mannoni, V., De Rivaz, D
Published in: 2021

Multi-Timescale QoE Provisioning for Adaptive Video Streaming in Heterogeneous Deployments

Author(s): Faouzi Bouali, Klaus Moessner, Michael Fitch
Published in: IEEE Transactions on Vehicular Technology, Issue 70/2, 2021, Page(s) 1894-1909, ISSN 0018-9545
DOI: 10.1109/tvt.2021.3055490

Machine Learning to Improve Multi-Hop Searching and Extended Wireless Reachability in V2X

Author(s): Manuel Eugenio Morocho-Cayamcela, Haeyoung Lee, Wansu Lim
Published in: IEEE Communications Letters, Issue 24/7, 2020, Page(s) 1477-1481, ISSN 1089-7798
DOI: 10.1109/lcomm.2020.2982887

Energy-Efficient QoE-Driven Strategies for Context-Aware RAT Selection

Author(s): Faouzi Bouali, Klaus Moessner, Michael Fitch
Published in: IEEE Transactions on Green Communications and Networking, Issue 4/3, 2020, Page(s) 858-872, ISSN 2473-2400
DOI: 10.1109/tgcn.2020.2966449