Javeed Iqbal Reshi, M. Tariq Banday, Farooq A. Khanday
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Modelling of efficient nano-scale code converters using quantum dot cellular automata
In recent years Quantum Cellular Automata (QCA) technology has emerged as an ideal option to substitute the current CMOS technology. QCA offers operation in the terahertz range, small area, and low power in nano-scale circuit design. This paper explores the application of quantum dot cellular automata(QCA) technology in efficient floorplanning of digital code converters using the tile based architecture of QCA XOR gate. The proposed code converter circuits exhibits the benefits of low cell count, area, cost and low energy dissipation. The suggested layouts have achieved the 11.42% reduction in cell count, 29.53% reduction in total occupational area,30.93% reduction in cost and 11.52% increase in area utilization factor in comparison to similar counterparts. The functional validity of the suggested designs were validated using QCADesigner 2.0.3 tool. In addition, the energy dissipation analysis were calculated using the QCAPro tool at standard tunelling energy levels o 0.5EK, 1.0EK, 1.5EK.
期刊介绍：
Analog Integrated Circuits and Signal Processing is an archival peer reviewed journal dedicated to the design and application of analog, radio frequency (RF), and mixed signal integrated circuits (ICs) as well as signal processing circuits and systems. It features both new research results and tutorial views and reflects the large volume of cutting-edge research activity in the worldwide field today.
A partial list of topics includes analog and mixed signal interface circuits and systems; analog and RFIC design; data converters; active-RC, switched-capacitor, and continuous-time integrated filters; mixed analog/digital VLSI systems; wireless radio transceivers; clock and data recovery circuits; and high speed optoelectronic circuits and systems.
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