Volume 33 Issue 2
Mar.  2024
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Chong ZHANG, Yuhang LIN, Deming WANG, et al., “Design of Low-Power Turbo Encoder and Decoder for NB-IoT,” Chinese Journal of Electronics, vol. 33, no. 2, pp. 403–414, 2024 doi: 10.23919/cje.2022.00.225
Citation: Chong ZHANG, Yuhang LIN, Deming WANG, et al., “Design of Low-Power Turbo Encoder and Decoder for NB-IoT,” Chinese Journal of Electronics, vol. 33, no. 2, pp. 403–414, 2024 doi: 10.23919/cje.2022.00.225

Design of Low-Power Turbo Encoder and Decoder for NB-IoT

doi: 10.23919/cje.2022.00.225
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  • Author Bio:

    Chong ZHANG received the B.E. degree in electronic and information engineering from the Central South University of Forestry and Technology, Changsha, China, in 2020. She is currently pursuing the M.E. degree in electronic science and technology with the School of Microelectronics Science and Technology, Sun Yat-Sen University. Her research interests include digital circuit design, multimode IoT node chip, digital baseband, Turbo code, NB-IoT. (Email: zhangch366@mail2.sysu.edu.cn)

    Yuhang LIN received the B.E. degree in electronic science and technology from the South China Agricultural University, Guangzhou, China, in 2020. He is currently pursuing the M.E. degree in electronics communication engineering with the School of Physics and Telecommunication Engineering, South China Normal University. His research interests include digital circuit design, VLSI, RFID, and cryptographic algorithm

    Deming WANG received the B.S. degree in electronic science and technology, and Ph.D. degree in communication and information systems, School of Information Science and Technology, Sun Yat-sen University, in 2008 and 2013, respectively. He is currently a Professor with the School of Electronics and Information Engineering, South China Normal University. He is also Director of IoT Identification and Sensor IC for Guangdong Engineering Technology Research Center, Deputy Director of Guangzhou Key Laboratory of IoT Identification IC. He has presided over and participated in many provincial and municipal projects, such as Key-Area Research and Development Program of Guangdong Province, and Guangdong Basic and Applied Basic Research Foundation. More than thirty IoT chips have been developed, including RF chips, analog signal chain chips, microcontroller chips, sensor chips and memory chips. (Email: is04wdm@mail3.sysu.edu.cn)

    Jianguo HU received the B.S. and M.S. degrees in National University of Defense Technology, in 2000 and 2004, respectively, and Ph.D. degree in communication and information systems from School of Information Science and Technology, Sun Yat-sen University, China, in 2010. He is currently a Professor with the School of Microelectronics Science and Technology, Sun Yat-sen University. And he is the Director of Development Research Institute of Guangzhou Smart City. He is the Leading Talents in Science and Technology of the “Special Support Plan” of Guangdong Province, the Leader of the Innovation Leading Team of Guangzhou, and the outstanding expert of Guangzhou. He is the Director of Guangdong Internet of Things Chip and System Application Engineering Center, Director of Guangdong Biological Identification Chip and System Engineering Technology Research Center, Director of Guangzhou Key Laboratory of Internet of Things Identification and Perception Chip, and Vice President of Guangdong Semiconductor Industry Association. (E-mail: hujguo@mail.sysu.edu.cn)

  • Corresponding author: E-mail: hujguo@mail.sysu.edu.cn
  • Received Date: 2022-07-22
  • Accepted Date: 2023-07-12
  • Available Online: 2023-07-19
  • Publish Date: 2024-03-05
  • Turbo code is an error correction coding scheme close to the Shannon limit, usually used in wireless data transmission. Based on the parallel Turbo code algorithm, a parallel Turbo code circuit design scheme is proposed. In the encoder, the recursive systematic convolutional encoder is multiplexed. The decoder is divided into branch metric, recursive, maximum likelihood ratio, and external information calculation modules. The decoding algorithm is based on Max-Log-MAP, controlling the component decoder in parallel. And the state metric calculation in the decoding circuit is combined to reduce the overall power consumption effectively, enabling the encoder and decoder to be used in narrowband Internet of things (NB-IoT). Finally, the hardware scheme of the main functional modules of Turbo code encoding and decoding is designed and implemented. The results show that the dynamic power consumption is less than 50 mW. The overall on-chip power consumption is reduced by 40% at the frequency of 125 MHz compared with previous jobs.
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