Resource allocation in non-orthogonal multiple access based cognitive radio networks using an artificial bee colony algorithm
by Subba Amin; Javaid A. Sheikh; Mehboob-Ul Amin; Bilal Ahmad Malik
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 27, No. 3, 2024

Abstract: The explosion of wireless technology has created an ever increasing demand for more radio spectrum. Most of the studies have shown that the spectrum bands are being underutilised. These looming spectrum scarcity problems have motivated the search for breakthrough radio technologies that can scale to meet the future demands both in terms of channel capacity and energy efficiency. Cognitive radio is considered to be the promising technology innovation that can enable future wireless world. This paper integrates the cognitive radio system with NOMA to improve the energy efficiency of the downlink NOMA system by maximising the sum and target rates of weak users and minimising the average transmission power of the secondary user network, thereby limiting average interference to the primary user. The closed-form solution for optimal power allocation is to maximise the sum rate using the Karush-Kuhn-Tucker (KKT) condition. An Artificial Bee colony global optimisation algorithm is employed to derive the optimal values for the bee colony vector by analysing Lagrangian dual analysis. The power allocation problem is thus converged to its best solution using the sub-gradient method. Finally, the simulation results have been presented to validate the analytical expression and proposed algorithm. The experimental results have been outlined in terms of capacity, sum rate, target rate and outage probability.

Online publication date: Fri, 13-Sep-2024

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