Qunatum-Dot Cellular Automata Technology based Optimized Multiplexers Design
Adepu Hariprasad1, Sumanth Kumar Chennupati2
1Adepu Hariprasad, Department of Electronics & Communication Engineering, Kamala Institute of Technology and Science, Huzurabad (Telangana), India.
2Sumanth Kumar Chennupati, Department of Electronics & Communication Engineering, GIT, GITAM Deemed to be University, Visakhapatnam (Andhra Pradesh), India.
Manuscript received on 16 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 2717-2725 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B13330982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1333.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Multiplexer plays a dynamic role in the optimization of a digital circuit (FPGA, ALU and memory circuits etc) implementations. Due to continuous Scaling of CMOS device, has already reached to the minimum transistor size, hence , it is not possible to reduce the transistor dimensions further without scaling issues and functionality affect. QCA is one of the emerging and promising new nanotechnologies and is suitable to replace conventional CMOS technology, and potentially able to solve the physical limitations and challenges of CMOS scaling issues. In this paper, the proposed 2:1 multiplexer structure makes the use of inherent characteristics of QCA cells to act as an efficient multiplexer. The proposed QCA based multiplexer architecture improves 50% of design area, 29% of cell count and 75% of the cost when compared with the earlier designed best multiplexer architectures. Higher order multiplexers 4:1 and 8:1 are also designed using proposed 2:1 multiplexer which improved performance to a greater extent relative to existing efficient multiplexer architectures. The design and simulation of circuits have been performed using software tool QCA Designer Version 2.0.3.
Keywords: Scaling Issues, Nanotechnologies, Quantum-dot Cellular Automata (QCA), Majority Gate, QCA Clock.
Scope of the Article: Low-power design