Open AccessDesigning a Content-Addressable Memory Cell Using Multiplexer in Quantum-Dot Cellular Automata
Author(s) -
Tohid Bagheri,
Saeed Rasouli Heikalabad,
Sam Jabbehdari
Publication year - 2022
Publication title -
ecs journal of solid state science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.488
H-Index - 51
eISSN - 2162-8777
pISSN - 2162-8769
DOI - 10.1149/2162-8777/ac6893
Subject(s) - multiplexer , quantum dot cellular automaton , cellular automaton , computer science , content addressable memory , multiplexing , memory cell , power consumption , electronic engineering , power (physics) , topology (electrical circuits) , transistor , algorithm , electrical engineering , artificial neural network , artificial intelligence , voltage , physics , telecommunications , engineering , quantum mechanics
Low power consumption, high density, regularity, and high speed are readily applicable to quantum-dot cellular automata (QCA). Therefore, memory is well suited for implementation using this technology. Because content addressable memory (CAM) is a special type of memory structure used in very fast search applications, QCA can be used to design this memory at the nanoscale. here, we introduce a new structure for the CAM cell. For this purpose, all the components needed to implement this memory cell are designed separately. In order to provide a structure with fewer gates, the operational equations of the components are considered in a way that they can be implemented by a unique multiplexer gate. For this purpose, a new multiplexer is used, which operates based on the Columbic interaction of cells. QCADesigner is used to simulate the proposed structures and verify their operation. The proposed structure has a 28% improvement in the number of cells and a 27% improvement in the occupied area.