Hardware design methodology of multilayer feedforward neural network for spectrum sensing in cognitive radio
by Swagata Roy Chatterjee; Jayanta Chowdhury; Supriya Dhabal; Mohuya Chakraborty
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 19, No. 4, 2020

Abstract: This paper aims to design a simple hardware architecture of Multilayer Feedforward Neural Network (MFNN) and verify its performance in the detection of vacant/busy state of channels. A single neuron with tansigmoid activation function is proposed utilising the rule of matrix multiplication for simplification in computation. The proposed hardware module of the single neuron, utilising parallel processing, is assembled to obtain the architecture of desired MFNN. The area optimised hardware architecture of MFNN is achieved by reutilising the hardware resources. The hardware module of the single neuron is compared with the allied design methods which exhibits its outperformance in terms of mean square error and accuracy over the existing ones. The proposed optimised MFNN provides almost 62% reduction in hardware resources as compared with standard non-optimised MFNN. Further, the performance analyses of proposed hardware architectures demonstrate almost 90% accuracy in the detection of both vacant and busy states of channels.

Online publication date: Wed, 20-Jan-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com