Space-Integrated-Ground Information Networks ›› 2023, Vol. 4 ›› Issue (4): 27-37.doi: 10.11959/j.issn.2096-8930.2023040

• Studies • Previous Articles    

Research on Random Access of Satellite Internet of Things Based on Load Prediction

Xiwen MAO, Haitao WANG, Gengxin ZHANG   

  1. School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Revised:2023-10-31 Online:2023-12-01 Published:2023-12-01
  • Supported by:
    The National Natural Science Foundation of China(62171234);Key Project of the Regional Innovation and Development Joint Fund of The National Natural Science Foundation of China(U21A20450)

Abstract:

In the process of the vigorous development of satellite internet of things, random access protocol is regarded as the most suitable communication protocol due to its characteristics of low signaling overhead, high transmission efficiency, high flexibility and easy implementation.However, due to drastic load changes, conventional random access mode only has advantages in the specific load range.Dynamic allocation of random access resources requires the accurate number of time slot access applications.In view of the above problems, a random access adaptive scheme was proposed, which could adaptively selected the appropriate random access mode according to the future load size, so as to improved the system throughput.The load size could be obtained through the proposed load estimation and prediction scheme.When narrowband interference exists in the transmission environment, the spread-spectrum communication means was introduced to made the adaptive scheme of random access run successfully.Moreover, the proposed adaptive scheme also improved the system throughput.

Key words: satellite internet of things, random access, load prediction, load estimation, spread spectrum communication

CLC Number: 

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