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arXiv · 2302.03376

System-Level Metrics for Non-Terrestrial Networks Under Stochastic Geometry Framework

Qi Huang·Baha Eddine Youcef Belmekki·Ahmed M. Eltawil·Mohamed-Slim Alouini
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Abstract

Non-terrestrial networks (NTNs) are considered one of the key enablers in sixth-generation (6G) wireless networks; and with their rapid growth, system-level metrics analysis adds crucial understanding into NTN system performance. Applying stochastic geometry (SG) as a system-level analysis tool in the context of NTN offers novel insights into the network tradeoffs. In this paper, we study and highlight NTN common system-level metrics from three perspectives: NTN platform types, typical communication issues, and application scenarios. In addition to summarizing existing research, we study the best-suited SG models for different platforms and system-level metrics which have not been well studied in the literature. In addition, we showcase NTN-dominated prospective application scenarios. Finally, we carry out a performance analysis of system-level metrics for these applications based on SG models.

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Qi Huang, Baha Eddine Youcef Belmekki, Ahmed M. Eltawil, Mohamed-Slim Alouini. 2023-02-07. System-Level Metrics for Non-Terrestrial Networks Under Stochastic Geometry Framework. https://arxiv.org/abs/2302.03376

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