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     Research Journal of Applied Sciences, Engineering and Technology


Learning System for Proactive Pre-emptive Unified Spectrum Handoff (PRO-PUSH) in Cognitive Radio Mobile Ad Hoc Networks

1, 2S. Nejatian, 1S.K. Syed-yusof, 1N.M. Abdul Latiff and 1, 3W. Maqbool
1UTM-MIMOS Center of Excellence, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM, Johor Bahru, Johor, Malaysia
2Department of Electrical Engineering, Faculty of Engineering, Islamic Azad University, Yasouj Branch, Yasouj, Kohgiloyeh and Bovirahmad Province, Iran
3Faculty of Information and Communication Technology, BUITEMS, Quetta 87300, Pakistan
Research Journal of Applied Sciences, Engineering and Technology  2014  21:2188-2194
http://dx.doi.org/10.19026/rjaset.8.1218  |  © The Author(s) 2014
Received: August ‎22, ‎2014  |  Accepted: September ‎22, ‎2014  |  Published: December 05, 2014

Abstract

The aim of this study is to introduce a conceptual framework for the new approach Intelligent Proactive Pre-emptive Unified Spectrum Handoff (IP PRO-PUSH) algorithm is presented, which is a highly potential intelligent technology to intelligently address the spectrum scarcity challenges in Cognitive Radio Mobile Ad hoc Networks (CR-MANETs). The fact that spectrum is a limited natural resource poses technology challenge to ensure the available frequency is used efficiently and able to cope with new services which definitely requires more bandwidth in the future. However, over the past years, traditional approaches to spectrum management have been challenged by new insights into actual use of spectrum. In order to improve the utilization of the overall radio spectrum, the Cognitive Radio (CR) is a useful solution to this low utilization of the radio spectrum. The variation in spectrum band is called spectrum mobility. The objective of the current study is to investigate the Intelligent-Based (IB) cognitive radio learning for IP Pro-PUSH and local routing based on spectrum mobility in mobile Cognitive Radio Ad hoc Networks (CR-MANET) along with a conceptual framework and its connections.

Keywords:

Cognitive radio, dynamic spectrum allocation, handoff management, intelligent systems, learning,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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