Deep Learning-Based Joint Modulation and Coding Scheme Recognition for 5G New Radio Protocols

Xiang Chen, Xinyao Wang, Hanyu Zhao, Zesong Fei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Blind detection of signals is a crucial technique in the 5G/B5G wireless communication systems, especially for the cognitive spectrum radio network, where the parameters of the transmit signals working on the free spectrum can not be known by the receiver. Following the 5G New Radio (NR) protocols, we propose a joint modulation and coding scheme (M-CS) recognition framework based on the supervised learning architecture and the given candidate set of the LDPC encoder. Specifically, the framework is composed of two cascaded modules. Firstly, the type of digital modulation according to the SG NR protocols is recognized blindly based on the proposed Res-Inception convolutional neural network (RICNN). Then, the low-density parity check (LDPC) coding scheme implemented under various bitrates is identified by exhaustively searching the validation candidate to maximize the corresponding average log-likelihood ratio (ALLR). Numerical results show the effectiveness of our proposed blind recognition framework, especially for the practical 5G NR protocols. Moreover, it is demonstrated that our proposed method can guarantee the robustness of the recognition under various channel fading model scenarios.

Original languageEnglish
Title of host publication2022 IEEE 22nd International Conference on Communication Technology, ICCT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1411-1416
Number of pages6
ISBN (Electronic)9781665470674
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event22nd IEEE International Conference on Communication Technology, ICCT 2022 - Virtual, Online, China
Duration: 11 Nov 202214 Nov 2022

Publication series

NameInternational Conference on Communication Technology Proceedings, ICCT
Volume2022-November-November

Conference

Conference22nd IEEE International Conference on Communication Technology, ICCT 2022
Country/TerritoryChina
CityVirtual, Online
Period11/11/2214/11/22

Keywords

  • 5G New Radio (NR)
  • average log-likelihood ratio (ALLR)
  • blind recognition
  • modulation and coding scheme (MCS)
  • supervised learning

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Chen, X., Wang, X., Zhao, H., & Fei, Z. (2022). Deep Learning-Based Joint Modulation and Coding Scheme Recognition for 5G New Radio Protocols. In 2022 IEEE 22nd International Conference on Communication Technology, ICCT 2022 (pp. 1411-1416). (International Conference on Communication Technology Proceedings, ICCT; Vol. 2022-November-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCT56141.2022.10072789