Abstract
Due to limited coverage, radio access provided by ground communication systems is not available everywhere on the Earth. It is necessary to develop a new three-dimensional network architecture in a bid to meet various connection requirements. Space–air–ground integrated networks (SAGINs) offer large coverage, but the communication quality of satellites is often compromised by weather conditions. To solve this problem, we propose an extended extreme learning machine (ELM) algorithm in this paper, which can predict the communication attenuation caused by rainy weather to satellite communication links, so as to avoid large path loss caused by bad weather conditions. Firstly, we use Internet of Things (IoT)-enabled sensors to collect weather-related data. Then, the system feeds the data to the extended ELM model to obtain a category prediction for blockage caused by weather. Finally, this information helps the selection of the data transmission link and thus improves the satellite routing performance.
Highlights
Introduction of Space–air–ground integrated networks (SAGINs) ArchitectureSAGINs can deal with sophisticated environments in the future, which makes them a developmental tendency in the future communication networks
As far as we know, this is the first time that the extended extreme learning machine (ELM) model is embedded in the SAGIN framework to improve the communication efficiency of SAGIN
The low-Earth orbit (LEO) satellite-based Internet of Things (IoT) has the characteristics of high reliability, wide-coverage, and large capacity, it is a significant extension of the terrestrial IoT
Summary
Space–air–ground integrated networks (SAGIN) include ground networks, satellite systems, and air networks to ensure the reliability and throughput of data transmission [1]. The many combined networks within a SAGIN allow for greater coverage than a traditional ground network [2]. It can provide a secure information infrastructure for sea-, land-, air-, and space-based user activities [3]. A SAGIN expands the capability of wireless networks, making it an important part of many advanced applications such as autopilot and earth monitoring [4]. There are various complex environments and tasks in future communication. SAGINs can achieve fast networking and flexible deployment. SAGINs will play an even more important role in the 6G era, appearing as a new trend of future communication networks
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