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Reduction of Hardware Complexity of Digital Circuits by Threshold Logic Gates Using RTDs

  • Muhammad KhalidEmail author
  • Shubhankar Majumdar
  • Mohammad Jawaid Siddiqui
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 106)

Abstract

Logic gates play an important role in digital circuit design. Hardware complexity is a major issue when designing digital circuits. Whenever any digital circuit is designed using the conventional logic gate, it faces many challenges like more number of components. So, it is today’s need to develop some new logic design concepts which reduce circuit’s hardware complexity. This paper presents threshold logic gates (TLGs) using resonant tunneling diodes (RTD) for reduction of hardware complexity. The proposed TLG is designed using RTD/FET with the help of MOnostable BIstable Latch Enable (MOBILE) principle. When TLGs are implemented using Resonant Tunneling Diodes, it demonstrates many electronic features like high-speed switching capability and functional versatility to implement functions such as AND, MAJORITY, OR, BUFFER, \( X_{1} \,*\,\bar{X}_{2} \). However, RTDs are most suitable for implementing threshold logic rather than Boolean logic using CMOS technology. RTDs model and simulation result are verified using SPICE, which is in close agreement with the theoretical conclusion. Further, we have compared the transistor count of proposed circuits and conventional circuits for all functions. We have also calculated delay and average power of all function.

Keywords

MOnostable BIstable Latch Enable (MOBILE) Resonant tunneling diode (RTD) TLG 

References

  1. 1.
    McCulloch, W.S., Pitts, W.: A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 5, 115–133 (1943)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Khalid, M., Singh, J.: Memristive crossbar circuits-based combinational logic classification using single layer perceptron learning rule. J. Nanoelectron. Optoelectron. Am. Sci. Publ. 12, 47–58 (2017)CrossRefGoogle Scholar
  3. 3.
    Khalid, M., Singh, J.: Memristor crossbar-based pattern recognition circuit using perceptron learning rule. In: 2016 IEEE International Symposium on Nanoelectronic and Information Systems (iNIS), pp. 236–239, Dec 2016Google Scholar
  4. 4.
    Khalid, M., Siddiqui, M., Rahman, S., Singh, J.: Implementation of threshold logic gates using RTDs. J. Electron. Electr. Eng. 1(1), 13–17 (2010)Google Scholar
  5. 5.
    Broekaert, T.P.E., Brar, B., van der Wagt, J.P.A., Seabaugh, A.C., Morris, F.J., Moise, T.S., Beam, E.A., Frazier, G.A.: A monolithic 4-bit 2-GSPS resonant tunneling analog-to-digital converter. IEEE J. Solid-State Circuits 33, 1342–1349 (1998)CrossRefGoogle Scholar
  6. 6.
    Zhang, R., Gupta, P., Zhong, L., Jha, N.K.: Threshold network synthesis and optimization and its application to nanotechnologies. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 24, 107–118 (2005)CrossRefGoogle Scholar
  7. 7.
    Nikodem, M., Bawiec, M.A., Biernat, J.: Synthesis of generalised threshold gates and multi threshold gates. In: 2011 21st International Conference on Systems Engineering, pp. 463–464, Aug 2011Google Scholar
  8. 8.
    Pettenghi, H., Avedillo, M.J., Quintana, J.M.: A novel contribution to the RTD-based threshold logic family. In: 2008 IEEE International Symposium on Circuits and Systems, pp. 2350–2353, May 2008Google Scholar
  9. 9.
    Kelly, P.M., Thompson, C.J., Mcginnity, T.M., Maguire, L.P.: A binary multiplier using RTD based threshold logic gates. In: Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods, IWANN’03, pp. 41–48. Springer-Verlag, Berlin, Heidelberg (2003)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Muhammad Khalid
    • 1
    Email author
  • Shubhankar Majumdar
    • 2
  • Mohammad Jawaid Siddiqui
    • 3
  1. 1.Central Instrumentation Facility (CIF)Jamia Millia Islamia UniversityJamia NagarIndia
  2. 2.Department of Electronics and Communication EngineeringNational Institute of Technology (NIT) MeghalayaShillongIndia
  3. 3.Department of EngineeringAligarh Muslim University, AMUAligarhIndia

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