International Journal of Advanced Networking and Applications

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Adaptive Resource Optimization for Cognitive Radio Networks


Affiliations
1 Department of Electronics Engineering, MIT Campus, Anna University, Chennai, India
 

In cognitive radio network, the spectrum sensing finds either the channel is occupied or idle, the problem is assigning the unused channels of the primary user (PU) to the secondary users in an efficient manner is most challenging issue. In this work, we investigates the above issue and proposed an adaptive resource allocation to the secondary users in terms of channel allocation and power allocation. The proposed work intelligently handles both frequency and space efficiently without affecting the quality of service (QoS) of the primary user. We considered both underlay and overlay spectrum access, based on that resource allocation is carried out in an efficient manner. The maximum transmitted data rate of the secondary user (SU) obtained is 225Kbps determined by using Shannon channel capacity theorem. The proposed work also shows the effectiveness of the simulation in terms of energy efficiency up to 8.25 x 105 bits/Joule.

Keywords

Resource allocation, Cognitive radio, OFDM, data rate, energy efficiency
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  • Adaptive Resource Optimization for Cognitive Radio Networks

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Authors

Kayalvizhi E.
Department of Electronics Engineering, MIT Campus, Anna University, Chennai, India
Balamurugan Gopalakrishnan
Department of Electronics Engineering, MIT Campus, Anna University, Chennai, India

Abstract


In cognitive radio network, the spectrum sensing finds either the channel is occupied or idle, the problem is assigning the unused channels of the primary user (PU) to the secondary users in an efficient manner is most challenging issue. In this work, we investigates the above issue and proposed an adaptive resource allocation to the secondary users in terms of channel allocation and power allocation. The proposed work intelligently handles both frequency and space efficiently without affecting the quality of service (QoS) of the primary user. We considered both underlay and overlay spectrum access, based on that resource allocation is carried out in an efficient manner. The maximum transmitted data rate of the secondary user (SU) obtained is 225Kbps determined by using Shannon channel capacity theorem. The proposed work also shows the effectiveness of the simulation in terms of energy efficiency up to 8.25 x 105 bits/Joule.

Keywords


Resource allocation, Cognitive radio, OFDM, data rate, energy efficiency

References