Dynamic Pilot Allocation and Pricing Strategies for Priority-Based Access in LEO Satellites IoT Networks
- Authors
- Zhang, Huan; Xie, Huiyang; Sun, Yu; Xing, Zhi; Jin, Hu
- Issue Date
- Jan-2025
- Publisher
- IEEE Computer Society
- Keywords
- dynamic pricing; random access; Satellite internet of things (S-IoT); ultra-dense LEO integrated satellite-terrestrial network
- Citation
- International Conference on ICT Convergence, pp 981 - 986
- Pages
- 6
- Indexed
- SCOPUS
- Journal Title
- International Conference on ICT Convergence
- Start Page
- 981
- End Page
- 986
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/125615
- DOI
- 10.1109/ICTC62082.2024.10827418
- ISSN
- 2162-1233
2162-1241
- Abstract
- The rapid growth of Internet of Things (IoT) devices has increased the demand for reliable communication networks, particularly within low earth orbit (LEO) satellite mega-constellations. These networks face significant challenges in resource allocation and access control due to high device density and the inherent delayed feedback in satellite communications. This paper proposes a novel priority-based access control frame-work for the LEO constellation IoT network, incorporating a priority-based pilot allocation protocol (PPAP) that effectively manages delayed feedback scenarios. The PPAP dynamically adjusts pilot resources and transmission probabilities to optimize access performance across different priority levels. Furthermore, a dynamic pricing model is introduced to balance service quality and fairness between the two priority levels while maximizing the revenue of the operator. © 2024 IEEE.
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Collections - COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

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