A Study of FR2 Radio Propagation with Focus on Mobility Management in an Industrial Scenario

Alejandro Ramírez-Arroyo, Melisa Maria Lopez Lechuga, Ignacio Rodriguez, Troels Bundgaard Sørensen, Samantha Caporal Del Barrio, Juan F. Valenzuela-Valdes, Preben E. Mogensen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

This work presents the analysis of a measurement campaign performed in a realistic two-hall industrial environment for FR2 band. In order to provide secure, reliable and high available Machine-to-Machine communications in the mmWave band for Industrial Internet of Things mobile applications, a study of the physical propagation channel must be carried out. The analysis shows the high variability of the propagation channel depending on the Line-of-Sight or Non Line-of-Sight condition, with path loss exponents ranging from 2.10 to 4.56. The mobility analysis demonstrates the high probability of beam switching if a threshold is not defined. By imposing this threshold, there is a decrease in the complexity of mobility management in exchange for a reduction in received power at the end user.

Original languageEnglish
Title of host publication17th European Conference on Antennas and Propagation, EuCAP 2023
Number of pages5
PublisherIEEE
Publication dateApr 2023
Article number10132940
ISBN (Print)978-1-6654-7541-9
ISBN (Electronic)9788831299077
DOIs
Publication statusPublished - Apr 2023
Event2023 17th European Conference on Antennas and Propagation (EuCAP) - Florence, Italy
Duration: 26 Mar 202331 Mar 2023

Conference

Conference2023 17th European Conference on Antennas and Propagation (EuCAP)
Country/TerritoryItaly
CityFlorence
Period26/03/202331/03/2023

Keywords

  • 5G
  • chanel model
  • factory
  • mmWave
  • mobility management
  • path gain
  • propagation
  • channel model

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