面向 LEO 卫星基于 NB-IoT 的高效传输方案：数据驱动视角
信号处理
2024-06-21 v1
摘要
本研究分析了低纬度轨道（LEO）卫星基于物联网（IoT）网络的传输控制协议（MAC）层方面。提出一种基于变更检测的传输方案，以便在网络中容纳更多用户并提高能源效率。还提出了机器学习（ML）算法，通过利用感知参数之间的相关性来减少有效负载大小。利用用于智慧城市应用部署的 IoT 测试平台的真实数据来分析关于碰撞概率、有效接收数据和平均电池寿命的性能。发现表明，经过该方案的实施后，流量模式不同于常被假设的泊松流量，从而证明了使用实际部署数据的 IoT 有效性。 demonstrated that the transmission scheme facilitates accommodating more devices while targeting a specific collision probability. Considering the link budget for a direct access NB-IoT scenario, more data is effectively offloaded to the server within the limited visibility of LEO satellites. The average battery lifetimes are also demonstrated to increase by many folds by using the proposed access schemes and ML algorithms.
引用
@article{arxiv.2406.14107,
title = {Efficient Transmission Scheme for LEO Satellite-Based NB-IoT: A Data-Driven Perspective},
author = {Ayush Kumar Dwivedi and Houcine Chougrani and Sachin Chaudhari and Neeraj Varshney and Symeon Chatzinotas},
journal= {arXiv preprint arXiv:2406.14107},
year = {2024}
}