Implementation of Convolutional Encoder in Quantum-Dot Cellular Automata

Abstract:

As a nanoelectronic system, Quantum-dot cellular automata (QCA) is very likely to present high defect and fault rates. Therefore making QCA bits distortion-free is a necessary work. In this paper, we present the QCA based rate-1/2 and memory length-2 convolutional encoders that can generate one kind of error correcting codes from the perspective of information redundancy. Three schemes of layouts are presented and compared, and the majority-based type has the compactest layout and lowest latency. Our simulation results demonstrate that these encoders can all functionally work.

• Periodical: Key Engineering Materials (Volumes 645-646)
• Pages: 1078-1084
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.645-646.1078
• Online since: May 2015
• Authors: Ming Liang Zhang*, Li Cai, Xiao Kuo Yang, Huan Qing Cui, Zhi Chun Wang
• Keywords: Convolutional Encoder, Majority-Based Convolutional Encoder, Quantum-Dot Cellular Automata

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