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     Research Journal of Applied Sciences, Engineering and Technology


Spectrum Sharing in Cognitive Radio Prop up the Minimum Transmission Power and Maxi-Min SINR Stratagem

1S. Azmat. Hussain, 1A. Naveed. Malik, 2I.M. Qureshi and 2F. Zaman
1School of Engineering and Applied Sciences (SEAS) Isra University, Islamabad Campus, Pakistan
2Department of Electronic Engineering, IIU, H-10, Islamabad, Pakistan
Research Journal of Applied Sciences, Engineering and Technology  2013  22:4289-4296
http://dx.doi.org/10.19026/rjaset.6.3546  |  © The Author(s) 2013
Received: March 19, 2013  |  Accepted: April 19, 2013  |  Published: December 05, 2013

Abstract

With the rapid growth of vigilance that cognitive radio participate an essential task in wireless communication to resolve the spectrum scarcity vs. under-utilization dilemma owing to the dormant spectrum supervision policies. In this study, we explore the innovative scenario that the secondary user frequently has to trade off between two goals at the same time: one is to maximize its own throughput; and the other is to minimize interference at primary receiver. In conclusion, the author give a novel idea about the seminal work of spectrum sharing by minimizing transmit power strategy and maximizing Signal to Interference plus Noise Ratio (SINR) strategy which are inversely and directly proportional according to the condition of separation angles.

Keywords:

Convex optimization, interference margin, OTBF, primary users, secondary users, spectrum sharing, SINR,


References


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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