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

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

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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.

Turbo encoder and decoderNarrowband Internet of thingsPower dissipation

Chong ZHANG、Yuhang LIN、Deming WANG、Jianguo HU

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School of Microelectronics Science and Technology,Sun Yat-sen University,Zhuhai 519082,China

School of Physics and Telecommunication Engineering,South China Normal University,Guangzhou 510006,China

School of Electronics and Information Engineering,South China Normal University,Foshan 528000,China

Development Research Institute of Guangzhou Smart City,Guangzhou 519000,China

Shenzhen Research Institute of Sun Yat-sen University,Shenzhen 518000,China

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Key-Area Research and Development Program of Guangdong ProvinceGuangdong Basic and Applied Basic Research FoundationGuangdong Basic and Applied Basic Research FoundationCentral Government Guides Local Science and Technology Development Funds to Freely Explore Basic Research ProjectsBasic Research on Shenzhen Science and technology R&D Funds(general program)the"Special Support Plan"for Top Young Talents in Science and Technology Innovation of Guangdong Province

2019B0101530012019B15151200252020A15151102722021S zvup174JCYJ202103241222020072021TQ06X978

2024

10.23919/cje.2022.00.225

电子学报(英文)

电子学报(英文)

CSTPCDEI
ISSN：1022-4653
年,卷(期)：2024.33(2)
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