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DOI: 10.14569/IJACSA.2020.0110271
PDF

Exploiting White Spaces for Karachi through Artificial Intelligence: Comparison of NARX and Cascade Feed Forward Back Propagation

Author 1: Shabbar Naqvi
Author 2: Minaal Ali
Author 3: Aamir Zeb Shaikh
Author 4: Yamna Iqbal
Author 5: Abdul Rahim
Author 6: Saima Khadim
Author 7: Talat Altaf

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 2, 2020.

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Abstract: Marriage of Internet of Everything (IoE) and Cognitive Radio driven technologies seems near under the umbrella of 6G and 6G+ communication standard. The expected new services that will be introduced in 6G communication will require high data rates for transmission. The learning based algorithms will play a key role towards successful implementation of these novel technologies and evolving next generation wireless standards for providing ubiquitous connectivity. This paper investigates performance of two artificial neural network (ANN) based algorithms for Karachi. These include Nonlinear autoregressive exogenous Algorithm (NARX) and cascade feed forward back propagation neural network (CFFBNN) scheme. A dataset for Karachi is also developed for 1805 MHZ. The results of the two algorithms are compared that show Mean Square Error (MSE) for CFFBNN is 6.8877e-5 at epoch 16 and MSE for NARX is 3.1506e-11 at epoch 26. Hence, exploiting computational performance, NARX performs much superior than the classis CFFBNN algorithm.

Keywords: 6G; cognitive radio; NARX; cascaded feed forward neural network; learning

Shabbar Naqvi, Minaal Ali, Aamir Zeb Shaikh, Yamna Iqbal, Abdul Rahim, Saima Khadim and Talat Altaf, “Exploiting White Spaces for Karachi through Artificial Intelligence: Comparison of NARX and Cascade Feed Forward Back Propagation” International Journal of Advanced Computer Science and Applications(IJACSA), 11(2), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110271

@article{Naqvi2020,
title = {Exploiting White Spaces for Karachi through Artificial Intelligence: Comparison of NARX and Cascade Feed Forward Back Propagation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110271},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110271},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {2},
author = {Shabbar Naqvi and Minaal Ali and Aamir Zeb Shaikh and Yamna Iqbal and Abdul Rahim and Saima Khadim and Talat Altaf}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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