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PROJECT TITLE :

Design and simulation of Turbo encoder in quantum-dot cellular automata - 2016

ABSTRACT:

Quantum-dot cellular automata (QCA) could be a potential nanoelectronic technology for info processing. To be considered as a appropriate CMOS candidate, QCA must be in a position to implement complex real-time applications of bit-serial info processing, which lacks of enough investigation. Turbo encoding is one in every of such applications, that refers to 3 representative problems of bit-serial circuits: convolution computation, feedback, and serial information permutation. The inherent shift-register nature of QCA offers a plus to performing convolution computation but poses handicaps to resolve the latter two issues. How to manage the ambivalent effects of shift-register nature is investigated in this paper, that determines the efficient style of Turbo encoder. A strobe theme based on main-branch wire crossing is proposed to efficiently create information choosing that is the communally key procedure of the implementation of feedback and serial knowledge permutation. On this basis, a technique of implementing recursive convolutional encoder with multifeedback is proposed. A two-stage pipelining interleaver is presented. Finally, a Turbo encoder is implemented using QCA primarily based on these approaches and simulation demonstrates that it performs well.


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CMOS Integrated Circuits SRAM Chips Cellular Automata Quantum Dots
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