Hardware Sharing Design Method of Rate Matching and Interleaving for Wireless Terminal in Industrial Internet of Things
Reducing the power consumption of baseband chips in wireless terminals of the Industrial Internet of Things (IIoT) is a great challenge. Among them, the logic function of the rate matching and interleaving hardware module is very complex, which occupies a considerable portion of power consumption in the baseband chip, so it is of great significance to design a low-power rate matching and interleaving hardware. Due to differences in interleaving algorithms and throughput, the interleavers used in 4G long term evolution (LTE) and 5G NR/6G have not been merged into a single architecture. Switching between different standards provides new options for interleaver design, and by configuring the architecture of different interleavers, it is possible to use the same hardware for different standards to reduce hardware resources and power consumption. This article studies the block interleaving and rate matching of turbo codes, convolutional codes, polar codes, and low-density parity check (LDPC) codes used in 4G LTE and 5G NR/6G communication links. With regard to the different algorithms for these four types of encoding, shared design is carried out on the hardware structure. In this experiment, according to the proposed memory and interleaving sharing scheme for hardware design and hardware simulation, the area overhead of 0.1 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>m2 and power consumption of 4.31 mW are obtained by Synopsys synthesis at the SMIC 28-nm process and the frequency of 50 MHz. This achieves the maximum hardware reuse of four encoding schemes in the downlink communication link of 4G LTE and 5G NR/6G, and reduce power consumption.
Authors
- Dake Liu
- Kejia Huo
- Wei Chen (ORCID: https://orcid.org/0000-0002-9603-9203)
Institutions
- Hainan University (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1109/jiot.2024.3491976
- Citations
- 2
- Primary Topic
- Wireless Sensor Networks and IoT
- Type
- article
- Field-Weighted Citation Impact
- 0.66
Funders
- National Natural Science Foundation of China