TY - JOUR
T1 - Early Collision Detection for Massive Random Access in Satellite-Based Internet of Things
AU - Zhen, Li
AU - Zhang, Yukun
AU - Yu, Keping
AU - Kumar, Neeraj
AU - Barnawi, Ahmed
AU - Xie, Yongbin
N1 - Funding Information:
Manuscript received September 7, 2020; revised January 9, 2021; accepted April 21, 2021. Date of publication April 27, 2021; date of current version June 9, 2021. This work was supported in part by the Natural Science Foundation of China (NSFC) under Grants 61901370, 62071354, and 62001381, in part by the Key Research and Development Program of Shaanxi under Grant 2021GY-043, in part by the Special Research Project of Education Department of Shaanxi Province under Grant 19JK0794, in part by the Open Fund of the Shaanxi Key Laboratory of Information Communication Network and Security under Grant ICNS201801, in part by the Science and Technology Innovation Team of Shaanxi Province for Broadband Wireless and Application under Grant 2017KCT-30-02, and in part by the Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research (KAKENHI) under Grants JP18K18044 and JP21K17736. The review of this article was coordinated by Prof. I. Bisio. (Corresponding author: Keping Yu.) Li Zhen, Yukun Zhang, and Yongbin Xie are with the Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts and Telecommunications, Xi’an 710061, China (e-mail: lzhen@xupt.edu.cn; ykunzhang@163.com; xieyongbin007@163.com).
Funding Information:
This work was supported in part by the Natural Science Foundation of China (NSFC) under Grants 61901370, 62071354, and 62001381, in part by the Key Research and Development Program of Shaanxi under Grant 2021GY-043, in part by the Special Research Project of Education Department of Shaanxi Province under Grant 19JK0794, in part by the Open Fund of the Shaanxi Key Laboratory of Information Communication Network and Security under Grant ICNS201801, in part by the Science andTechnology InnovationTeam of Shaanxi Province for Broadband Wireless and Application under Grant 2017KCT-30- 02, and in part by the Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research (KAKENHI) under Grants JP18K18044 and JP21K17736.
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2021/5
Y1 - 2021/5
N2 - 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.
AB - 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.
KW - Internet of Things (IoT)
KW - Satellite communication
KW - Zadoff-Chu (ZC) sequence
KW - collision detection
KW - massive access
UR - http://www.scopus.com/inward/record.url?scp=85105102826&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85105102826&partnerID=8YFLogxK
U2 - 10.1109/TVT.2021.3076015
DO - 10.1109/TVT.2021.3076015
M3 - Article
AN - SCOPUS:85105102826
SN - 0018-9545
VL - 70
SP - 5184
EP - 5189
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 5
M1 - 9416799
ER -