TY - GEN
T1 - Efficient Collision Detection Based on Zadoff-Chu Sequences for Satellite-Enabled M2M Random Access
AU - Zhen, Li
AU - Kong, Hua
AU - Zhang, Yukun
AU - Wang, Wenjing
AU - Yu, Keping
N1 - Funding Information:
This work was supported in part by the Natural Science Foundation of China (NSFC) under Grants 61901370 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 Grant JP18K18044. (Corresponding author: Li Zhen).
Publisher Copyright:
© 2021 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - Due to concurrent access attempts from massive machine-type devices (MTDs) within the wide beam coverage, the existing contention-based random access (RA) scheme suffers from severe physical random access channel (PRACH) over-load when applied to the emerging satellite-enabled machine-to-machine (M2M) communications. In this paper, we propose an efficient collision detection scheme based on cyclically shifted Zadoff-Chu (ZC) sequences, which are generated by the minimum number of required root indexes and a fixed cyclic shift offset independent of the beam radius. The proposed scheme enables rapid collision detection at the first step of RA procedure by capturing correlation peaks at the timing positions corresponding to the multiples of the cyclic shift offset, thus can reduce the access delay and resource consumptions for the collided MTDs. Simulations are carried out to validate the correctness of mathematical analysis, and to demonstrate the significant detection performance improvement of our scheme with effective non-orthogonal interference (NOI) mitigation by compared to the conventional one.
AB - Due to concurrent access attempts from massive machine-type devices (MTDs) within the wide beam coverage, the existing contention-based random access (RA) scheme suffers from severe physical random access channel (PRACH) over-load when applied to the emerging satellite-enabled machine-to-machine (M2M) communications. In this paper, we propose an efficient collision detection scheme based on cyclically shifted Zadoff-Chu (ZC) sequences, which are generated by the minimum number of required root indexes and a fixed cyclic shift offset independent of the beam radius. The proposed scheme enables rapid collision detection at the first step of RA procedure by capturing correlation peaks at the timing positions corresponding to the multiples of the cyclic shift offset, thus can reduce the access delay and resource consumptions for the collided MTDs. Simulations are carried out to validate the correctness of mathematical analysis, and to demonstrate the significant detection performance improvement of our scheme with effective non-orthogonal interference (NOI) mitigation by compared to the conventional one.
KW - Satellite
KW - Zadoff-Chu (ZC) sequences
KW - machine-to-machine (M2M) communications
KW - massive access
KW - preamble collision
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U2 - 10.1109/ICC42927.2021.9500707
DO - 10.1109/ICC42927.2021.9500707
M3 - Conference contribution
AN - SCOPUS:85115716685
T3 - IEEE International Conference on Communications
BT - ICC 2021 - IEEE International Conference on Communications, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Communications, ICC 2021
Y2 - 14 June 2021 through 23 June 2021
ER -