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A SURVEY ON OPTIMIZATION OF TRANSMIT POWER IN COGNITIVE RADIO NETWORKS THROUGH NATURE INSPIRED COMPUTATIONAL INTELLIGENCE TECHNIQUES


Affiliations
1 I.K Gujral Punjab Technical University, India
2 Maharaja Ranjit Singh Punjab Technical University, India
 

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Cognitive radio (CR) is a field which is gaining a lot of interest of researchers in around the whole world. It is also termed as nextgen technology as it aims to solve the problem of unutilized electromagnetic spectrum assigned to licensed users. With increasing wireless devices there is a demand of more spectrum resources and cognitive radio can help in making available the unused or underused spectrum for real time communication. When number of cognitive users communicate together at the same time there exists the problem of interference due to transmit power of all the devices to the licensed users. So there is a need of controlling power of transmission for cognitive users so that they may not interfere with Primary licensed users and maintain QoS with other cognitive users. The power control of a large number of devices together can be done by the application of computational intelligence techniques. In this paper three nature inspired computational intelligence techniques like GA, PSO and ABC for optimization of transmit power in cognitive radio networks are discussed.

Keywords

Cognitive Radio, Secondary User, Primary User, Efficient Utilization of Spectrum, Power Allocation Strategy, Dynamic Spectrum Access.
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Abstract Views: 347

PDF Views: 179




  • A SURVEY ON OPTIMIZATION OF TRANSMIT POWER IN COGNITIVE RADIO NETWORKS THROUGH NATURE INSPIRED COMPUTATIONAL INTELLIGENCE TECHNIQUES

Abstract Views: 347  |  PDF Views: 179

Authors

Paurav Goel
I.K Gujral Punjab Technical University, India
Avtar Singh
I.K Gujral Punjab Technical University, India
Ashok Goel
Maharaja Ranjit Singh Punjab Technical University, India

Abstract


Cognitive radio (CR) is a field which is gaining a lot of interest of researchers in around the whole world. It is also termed as nextgen technology as it aims to solve the problem of unutilized electromagnetic spectrum assigned to licensed users. With increasing wireless devices there is a demand of more spectrum resources and cognitive radio can help in making available the unused or underused spectrum for real time communication. When number of cognitive users communicate together at the same time there exists the problem of interference due to transmit power of all the devices to the licensed users. So there is a need of controlling power of transmission for cognitive users so that they may not interfere with Primary licensed users and maintain QoS with other cognitive users. The power control of a large number of devices together can be done by the application of computational intelligence techniques. In this paper three nature inspired computational intelligence techniques like GA, PSO and ABC for optimization of transmit power in cognitive radio networks are discussed.

Keywords


Cognitive Radio, Secondary User, Primary User, Efficient Utilization of Spectrum, Power Allocation Strategy, Dynamic Spectrum Access.

References