Abstract
In 5G New Radio (NR) systems, the configuration of frame is flexible. There are several sub-carrier spacing (SCS) configurable which is different from Long Term Evolution (LTE) systems. During the initial access process, the user equipment cannot know the specific SCS directly before obtaining time and frequency synchronization with the service cell like in LTE systems. Therefore, it is necessary to investigate SCS detection. Based on the cyclostationary of Orthogonal Frequency Division Multiplexing (OFDM) signals, we propose a SCS detection algorithm with correlation operations on OFDM signals. The proposed algorithm is theoretically analyzed and the theoretical expression for the detection error rate is given by integrating theoretical models of the correlation errors. The algorithm is evaluated and analyzed through simulation in different scenarios. The analytical and simulation results show that the proposed algorithm is effective and the performance is roughly consistent with the theoretical analysis results.
Supported by the National Natural Science Foundation of China (NSFC) Project 61931005.
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, T., Long, H., Huang, L. (2022). Sub-carrier Spacing Detection Algorithm in 5G New Radio Systems. In: Gao, H., Wun, J., Yin, J., Shen, F., Shen, Y., Yu, J. (eds) Communications and Networking. ChinaCom 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 433. Springer, Cham. https://doi.org/10.1007/978-3-030-99200-2_25
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DOI: https://doi.org/10.1007/978-3-030-99200-2_25
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