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DOI: 10.14569/IJACSA.2018.090429
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Distributed QoS Constraint based Resource Adaptation Strategy for Cognitive Radio Networks

Author 1: Yakubu S. Baguda

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 4, 2018.

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Abstract: This paper primarily investigates and addresses the optimal power adaptation strategy problem for multi-user cognitive radio network. The need to determine the optimal power transmission for the secondary user (SU) in a distributed network environment is challenging and important. This requires an efficient adaptive strategy with high convergence capability in order to meet up with the multi-users quality of service (QoS) requirements in a cognitive network and ultimately ensure more efficient resource utilization amongst users. In this paper, a distributed QoS contraint scheme which considered both the transmission power and outage probability has been proposed to maximize the network performance and to control the SUs transmission power. Firstly, the QoS constraint optimization problem for distributed secondary users is formulated and solved in order to adapt with the network dynamics of the cognitive networks. Subsequently, the solution has been used to dynamically adjust the radio power of the SUs to conform with the stringent network constraint and ensures coexistence amongst the users. More importantly, the simulation result shows that the scheme increases the overall network utility when compared to the scheme without adaptation.

Keywords: Cognitive radio network; outage probability; quality of service (QoS); network utility; power adaptation; primary user; secondary user

Yakubu S. Baguda, “Distributed QoS Constraint based Resource Adaptation Strategy for Cognitive Radio Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 9(4), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090429

@article{Baguda2018,
title = {Distributed QoS Constraint based Resource Adaptation Strategy for Cognitive Radio Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090429},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090429},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {4},
author = {Yakubu S. Baguda}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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