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Implementation of Nanocommunication System using Quantum Dot Cellular Automata for Error Detection

R. Gurunadha*

Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Vizianagaram, Andhra Pradesh, India.

Periodicity:July - December'2019
DOI : https://doi.org/10.26634/jes.8.1.16317

Abstract

A nano-communication system has been developed using Quantum-dot Cellular Automata (QCA). Complementary Metal Oxide Semiconductor (CMOS) is dominant technology in manufacturing of VLSI and it has some problems with scaling in size. Semiconductor industry is looking for emerging technology to replace the CMOS technology. QCA has the advantage of ultra low power consumption, high clock rate. Nanoscale communication systems are used in computer, electronic devices, mobile phones, etc. QCA devices are designed by carefully selecting the placement of QCA cells and the timing of their tunnelling barriers are raised and lowered. By improving this communication system, signal distribution can be increased. The design of QCA is implemented using AND gate, OR gate, NOR gate, etc. The main objective of the study is to provide fast processing and energy saving approach for communication systems. Nano communication architecture with the proposed circuits demonstrates the efficiency of this design. In this paper a simple XOR gate and novel XOR gate design are shown using QCA. The results of simple XOR and novel XOR is compared in terms of delay, area and time. The active area of QCA research involves the design and verification of complex devices composed of fundamental QCA gates. Furthermore, the bit-error coverage in nano communication was detected. Using these gate level sample, it is possible to develop high combinational circuits for achieving updated technology.

Keywords

CMOS Technology, Communication Systems, Quantum-dot Cellular Automation (QCA).

How to Cite this Article?

Gurunadha, R. (2019). Implementation of Nanocommunication System using Quantum Dot Cellular Automata for Error Detection. i-manager's Journal on Embedded Systems, 8(1), 15-23. https://doi.org/10.26634/jes.8.1.16317

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