Implementation of Novel Block and Convolutional Encoding Circuit Using FS-GDI

Abstract

A novel implementation of Block and Convolutional encoding circuits approach using Gate Input Diffusion-Full Swing (FS-GDI) and Complementary Metal Oxide Semiconductor (CMOS) logic styles has been presented. Performance analysis of the proposed encoding circuits has been performed using Cadence Virtuoso (CV) S/W package. The performance metrics of FS-GDI-based encoding circuits have been compared with traditional CMOS-based designs. The proposed encoding circuits involve Block Hamming (15, 11), Convolutional (2, 1, 3), and Recursive Systematic Convolutional (2, 1, 2) encoding circuits; these presented circuits are simulated and tested using a word length of 11 bits. The simulation experiments revealed that the proposed implemented circuits achieve delay time improving by 27.91% and 33.27% for Hamming (15, 11) and Convolutional (2, 1, 3) codes, respectively. The simple proposed RSC encoder performs better than the Convolutional (2, 1, 3) due to shorter constraint length and less H/W complexity. On the other hand, the Transistor Count-Hardware (TC-H/W) is enhanced by 50% for the Block and Convolutional encoding based on employing area-efficient FS-GDI-XOR gate. From the analysis of the results, the proposed designs achieve efficient power and delay optimization of Hamming and Convolutional encoding utilizing the FS-GDI logic style. Also, it is clear that the characteristics of the proposed encoding circuits are vital and effective in the digital signal processing circuits and encoding/decoding schemes implementation in low-power wireless networks.

KEYWORDS:

• 65 nm technology
• Area efficiency
• Convolutional codes
• FS-GDI
• LP-DSP
• Power-efficient FEC

ACKNOWLEDGEMENTS

Preprint contains some matches in the manuscript, its title M. El-Bendary, O. Al-Badry, “A New Systematic Encoding Circuit of Hamming (15, 11) Using Low-Power XOR-FS-GDI-Based Logic Gate: Fast Computing and Efficient Area FEC, 22 Dec. 2021,” 22 December 2021 DOI: https://doi.org/10.21203/rs.3.rs-1144966/v1.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

DATA AVAILABILITY STATEMENT

The authors confirm the data availability which is related to this manuscript in case the requirements for research targets. Also, the datasets which are generated and analyzed during the current research/study are available from the corresponding author upon reasonable request.

Additional information

Notes on contributors

Mohsen A. M. El-Bendary

Mohsen A M El-Bendary received his BSc degree in electrical communications, Faculty of Electronic Engineering, Menoufia University, May 1998; MSc in communications engineering from Faculty of Electronic Engineering, Menoufia University, 2008; PhD in communications engineering, Faculty of Electronic Engineering, Menoufia University, 2012. His research is the area of wireless networks “QoS”, especially, the wireless personal communications such as WPANs, WSN, and WBANs, image processing: enhancement of restoration of degraded and noisy images, multi-channel image processing, error of image concealment, color image processing, image watermarking, encryption, and data hiding. Corresponding author Email: [email protected]

O. Al-Badry

O Al-Badry received BSc degree in electronics technology and industrial education, Faculty of Industrial Education, Sohag University,2015; MSc in electronics and nano-electronics design from Faculty of Technology and Education, Helwan University, 2019. She is PhD student in Faculty of Industrial Education, Sohag University. She works in electronics design, nano-electronics design, and nano-size effects. Email: [email protected]

A. E. Abou-El. Azm

A E Abou-El Azm was born in 1954, Egypt. He has BSc degree in electronic engineering and MSc in antennas from Faculty of Electronic Engineering, Menoufia University in 1977 and 1984, respectively. He has a PhD in communications from the Warsaw University of Technology, Poland, in 1990. Abou-El. Azm's research is in the area of digital communications, with special emphasis on coding theory, information theory, error control coding, and coded modulation including the use of convolutional, trellis codes, and turbo codes in the development of coding standards for high-speed data modems, digital satellite communication, and deep space channels. He is the author of many papers in the field of line codes, channel codes, and signal processing, information, coding, communication theory, and signal processing. Email: [email protected]