A Time-correlated Channel State Model for 5G New Radio Mobility Studies in LEO Satellite Networks

Enric Juan, Mads Lauridsen, Jeroen Wigard, Preben E. Mogensen

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

2 Citations (Scopus)


Low Earth orbit (LEO) satellite networks will play a major role in future broadband communications. To study LEO satellite mobility performance, and guarantee reliable service, accurate channel characterization is necessary. Current models, such as the ones reported by 3GPP and ITU, define channel parameters as a function of elevation angle, frequency and deployment scenario. However, key parameters including the line-of-sight (LOS) probability and the shadow fading do not describe any time component or correlation and, therefore, the movement of the satellite is not captured. This fact might result in unrealistic changes of the LOS/NLOS states hampering the radio mobility studies for 5G-based LEO satellite networks. In this paper, we present a Markov-based channel state model that takes into consideration the time correlations of the LOS variations along the satellite's orbit. The proposed model is based on ray-tracing measurements of suburban and dense urban scenarios and it can accurately reflect the behaviour of the channel state variations of those scenarios, essentially leading to a realistic number of state changes per satellite pass.

Original languageEnglish
Title of host publication2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings
Number of pages5
Publication date28 Apr 2021
Article number9448842
ISBN (Print)978-1-7281-8965-9
ISBN (Electronic)9781728189642
Publication statusPublished - 28 Apr 2021
Event93rd IEEE Vehicular Technology Conference, VTC 2021-Spring - Virtual, Online
Duration: 25 Apr 202128 Apr 2021


Conference93rd IEEE Vehicular Technology Conference, VTC 2021-Spring
CityVirtual, Online
SponsorHuawei Technologies Co., Ltd., Nokia Siemens Networks
SeriesIEEE Vehicular Technology Conference

Bibliographical note

Publisher Copyright:
© 2021 IEEE.


  • Analytical models
  • Vehicular and wireless technologies
  • Correlation
  • Satellite broadcasting
  • Low earth orbit satellites
  • Ray tracing
  • Markov processes


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