Early Collision Detection for Massive Random Access in Satellite-Based Internet of Things

Li Zhen, Yukun Zhang, Keping Yu*, Neeraj Kumar, Ahmed Barnawi, Yongbin Xie

*この研究の対応する著者

研究成果: Article査読

27 被引用数 (Scopus)

抄録

As a complementary solution for seamless and ubiquitous coverage, satellite communications will play crucial roles in future global Internet of Things (IoT). Focusing on enhancing access efficiency and resource utilization of massive machine-type devices (MTDs), we propose an efficient collision detection scheme at the first step of random access (RA) procedure for satellite-based IoT. By leveraging a single root Zadoff-Chu (ZC) sequence with an elaborate set of cyclic shift offsets to generate all the available preamble sequences, the proposed scheme can achieve rapid collision detection and load estimation in one-shot correlation operation, while having the robustness to the non-orthogonal interference. The preamble detection probability, collision detection probability, and load monitoring accuracy, are mathematically analyzed, and an optimal set of preamble selection probabilities is given to maximize the overall load monitoring accuracy. Simulation results exhibit the remarkable performance improvement of our scheme in typical satellite line-of-sight (LOS) scenario, by compared to the state-of-the-art collision detection schemes.

本文言語English
論文番号9416799
ページ(範囲)5184-5189
ページ数6
ジャーナルIEEE Transactions on Vehicular Technology
70
5
DOI
出版ステータスPublished - 2021 5月

ASJC Scopus subject areas

  • 自動車工学
  • 航空宇宙工学
  • 電子工学および電気工学
  • 応用数学

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