Paper Info
Title
Spectrum Cost Optimization for Cognitive Radio Transmission over TV White Spaces using Artificial Neural Networks
Abstract
In this paper, the use of TV White Spaces (TVWS) by small cognitive radio wireless network operators (SCWNOs) is considered in order to support the growing demands for IoT applications in smart grid and smart cities. In order to support the wide range of services and applications that are being offered by SCWNOS, spectrum leasing could be considered as an alternative solution to achieve improved Quality of Service (QoS). We consider a situation whereby in order to satisfy the QoS requirements, SCWNOs can decide to lease a certain part of the TVWS spectrum that is referred to as high priority TVWS channel (HPC) for a certain period and pay a fee depending on the duration of HPC spectrum usage. We develop an Artificial Neural Networks (ANN) based online algorithm to determine the optimal transmission decision per time slot that would minimise the overall HPC leasing cost of the SCWNOs while satisfying the QoS constraints. The simulations results shows that our proposed ANN based online algorithms outperforms the Lyapunov based online algorithm while its performance is very close to the optimal offline solution with 99% accuracy.
Year
DOI
Venue
2019
10.1109/UCET.2019.8881893
2019 UK/ China Emerging Technologies (UCET)
Keywords
DocType
ISBN
optimal transmission decision,HPC leasing cost,QoS constraints,optimal offline solution,spectrum cost optimization,cognitive radio transmission,TV white spaces,artificial neural networks,IoT applications,smart grid,smart cities,SCWNOS,spectrum leasing,QoS requirements,TVWS spectrum,high priority TVWS channel,HPC spectrum usage,small cognitive radio wireless network operators,quality of service,Lyapunov based online algorithm
Conference
978-1-7281-2798-9
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Metin Öztürk132.16
Attai Ibrahim Abubakar232.46
Naveed Ul Hassan300.34
Sajjad Hussain410722.49
Muhammad Ali Imran52920278.27
Chau Yuen64493263.28