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Cites:

Information Journal Paper

Title

Design of Content-Addressable Memory in Quantum-Dot Cellular Automata

Pages

  53-61

Keywords

Quantum-dot Cellular Automata (QCA) *Q1

Abstract

 Quantum-dot cellular automata (QCA) is one of the new technologies in the design of digital nano circuits. This technology is an appropriate alternative to today's silicon technology. The inherent features of this technology include very small dimensions, high speed and very low power consumption. Therefore, it can be used to design special memories that require high operating speed such as the Content Addressable Memory. These types of memory are widely used in designing hardware systems, especially routers. In this type of memory, speedy operations are very necessary due to the large number of search and comparison errands. In this paper, we propose a structure for the Content Addressable Memory in QCA that has a mask capability for comparison. The proposed structure consists of a memory cell, a Comparator and a matching unit designed using Multiplexer and XNOR gate. The performance of the designed structure is studied by QCADesigner software. The result proves its effectiveness. The proposed structure has 11% improvement in cell number, 57% improvement in gate number and 5% improvement in area occupancy compared to the previous structure.

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  • Cite

    APA: Copy

    Rasouli Heikalabad, S., & Salimzadeh, F.. (2021). Design of Content-Addressable Memory in Quantum-Dot Cellular Automata. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 8(4 (32) ), 53-61. SID. https://sid.ir/paper/387136/en

    Vancouver: Copy

    Rasouli Heikalabad S., Salimzadeh F.. Design of Content-Addressable Memory in Quantum-Dot Cellular Automata. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2021;8(4 (32) ):53-61. Available from: https://sid.ir/paper/387136/en

    IEEE: Copy

    S. Rasouli Heikalabad, and F. Salimzadeh, “Design of Content-Addressable Memory in Quantum-Dot Cellular Automata,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 8, no. 4 (32) , pp. 53–61, 2021, [Online]. Available: https://sid.ir/paper/387136/en

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