Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Evaluation of a Belief-based Decision Making in a Real-time Platform for Cognitive Radio Networks

Raschella, A, Perez-Romero, J, Sallent, O and Umbert, A (2014) Evaluation of a Belief-based Decision Making in a Real-time Platform for Cognitive Radio Networks. In: 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM) . (9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 02 June 2014 - 04 June 2014, Oulu, FINLAND).

[img]
Preview
Text
CROWNCOM'14_UPC_CR.pdf - Accepted Version

Download (649kB) | Preview

Abstract

This paper presents a real-time testbed based on reconfigurable devices able to transmit and receive data at different operating frequencies, which are dynamically configured. The main objective of this paper is to provide an advanced and realistic framework where the performance of algorithms and policies for spectrum selection in Cognitive Radio (CR) networks can be fully evaluated in a real-time environment. In particular, this paper focuses on a CR belief-based decision making framework particularized for different observation strategies that decide when measurements are carried out to predict the radio environment dynamism. Results show that an accurate selection of an observation strategy is a key element for the trade-off between achieved performance and measurement requirements.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2014 IEEE.
Uncontrolled Keywords: Science & Technology; Technology; Computer Science, Hardware & Architecture; Engineering, Electrical & Electronic; Telecommunications; Computer Science; Engineering; cognitive radio; testbed; spectrum selection; decision making; belief vector
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Computer Science
Publisher: IEEE
Related URLs:
Date Deposited: 18 Oct 2019 09:43
Last Modified: 18 Oct 2019 09:43
DOI or Identification number: 10.4108/icst.crowncom.2014.255568
URI: http://researchonline.ljmu.ac.uk/id/eprint/11598

Actions (login required)

View Item View Item