A novel adaptive fuzzy-based sliding mode control for channel state estimation in cognitive radio for reduction of interference
by S. Vadivukkarasi; S. Santhi
International Journal of Networking and Virtual Organisations (IJNVO), Vol. 23, No. 4, 2020

Abstract: Research in spectrum availability and its effective utilisation is becoming an epicentre of research in recent times with the increasing scarcity of radio spectrum. An effective solution is in the form of cognitive radios (CRs) which are quite intelligent to effectively utilise the scarcely available spectrum in an efficient and economic manner. Apart from being intelligent, they represent reconfigurable wireless communication systems, which are self-aware of their environment and learn to adapt it for dynamic changes. They are characteristic of efficient spectrum utilisation. This research paper defines the objective of determining the channel state information through sliding model control-based intelligent adaptive fuzzy algorithm. The CR has ability to operate in a particular radio configuration based on device status and environmental aspects including interference noise. The proposed adaptive fuzzy SMC-based channel state estimation has been compared against conventional and recent techniques and outputs established in terms of bit error rate and mean squared error. The proposed sliding rule method is quite an ideal choice for the proposed scenario characterised by dynamically changing input conditions to the sensing components of the CR network.

Online publication date: Thu, 22-Oct-2020

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 Networking and Virtual Organisations (IJNVO):
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