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Readme_template 2025_Code_Access.txt

readme Text 1768 1 4805 document 1768 indexcodes.txt text/plain 2d9644ec09381987e3c19022f9221a83 MD5 2147 2025-10-29 10:53:43 https://opendata.ljmu.ac.uk/id/eprint/251/3/indexcodes.txt 251 3 3 text/plain Generate index codes conversion from text to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://opendata.ljmu.ac.uk/id/document/1767 http://eprints.org/relation/isVolatileVersionOf https://opendata.ljmu.ac.uk/id/document/1767 http://eprints.org/relation/isIndexCodesVersionOf https://opendata.ljmu.ac.uk/id/document/1767 archive 7 disk0/00/00/02/51 2025-10-29 13:59:21 2025-10-29 13:59:21 2025-10-29 13:59:21 data_collection show 7 Maheshwari Mukesh Kumar 0000-0002-2843-9758 Raschella Alessandro 0000-0002-1626-8947 Mackay Michael Eiza Max Hashem Wetherall Jon Laing Jen CGA Simulation, L8 1XE, UK ict restricted 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave) Depositing user's licence comment: Please contact researchonline@ljmu.ac.uk to gain access to this dataset. Please provide the following details: 1. What is your full name and institutional affiliation? 2. What is your email address and contact information? 3. What is your role or position (e.g., student, researcher, faculty, industry professional)? 4. What is the purpose of your request to access this dataset? 5. How do you intend to use the data (e.g., for research, teaching, validation, etc.)? 6. Please provide a brief description of your project or research topic. 7. Will the data be used for commercial purposes? (Yes/No) 8. Will the data be shared with anyone else? If yes, please specify. 9. Do you agree to acknowledge the dataset and cite its DOI in any publications using it? (Yes/No) The wireless network data are a feasible way to understand the user behaviour in a given environment and may be utilized for analysis, prediction and optimization. On the other hand, datasets from wireless service providers are not publicly available, and obtaining a dataset in real time is challenging. In this work, we present a software/tool to generate a 5G dense deployment dataset obtained from the Liverpool City Region High Density Demand (LCR HDD) project. The project involves network deployment and assessment at Salt Tar and the ACC Arena event venues located in the city of Liverpool. Digital twin technology is considered to generate the realistic user positions, which is inputted to a system-level simulator for data modelling and analysis. The package consists of (i) a digital twin user interface developed by CGA, (ii) guidelines to configure the Vienna 5G system-level simulator, and (iii)a MATLAB script to extract the result. The package presented is utilized to collect a dataset that is publicly available at the LJMU repository (https://opendata.ljmu.ac.uk/id/eprint/236/). 2025-10-29 published 10.24377/LJMU.d.00000251 Liverpool John Moores University CGA Simulation 400608 Digital twin model and Matlab based simulator English English 2023-09-15 2025-06-15 https://doi.org/10.24377/LJMU.d.00000236 dat 2025-10-29