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CHANNEL ALLOCATION AND USER SCHEDULING IN COGNITIVE RADIO NETWORK BY ENERGY DETECTION SPECTRUM SENSING ALGORITHM WITH Co-MP JT

Rahul kumar kumar

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Paper Contents

Abstract

The paper introduces a Cognitive Radio (CR) system that incorporates Coordinated Multipoint Joint Transmission (JT) to enhance spectrum utilization efficiency. The primary goal is to allow unlicensed users opportunistic access to unused or underutilized spectrum bands, improving overall network performance.To achieve this, the paper develops an analytical model for calculating the Received Signal-to-Noise Ratio (SNR) at a CR node. This information is crucial for determining the energy detection threshold and the minimum number of required samples needed for energy detection-based spectrum sensing in the CR network with CoMP JT technique.The performance of the energy detection-based spectrum sensing, as per the analytical model, is further evaluated through simulations. The results demonstrate the reliability of this sensing method in the proposed CR system.Additionally, the paper addresses the optimization of channel allocation and user scheduling in the CR network with CoMP JT technique. An optimization problem is formulated to maximize the minimum throughput of the users in the network. By solving this optimization problem, the CRN can efficiently configure its resources, ensuring improved network performance and better user experiences.Overall, the proposed CR system with Coordinated Multipoint Joint Transmission offers a promising approach to enhance spectrum utilization efficiency, making it a valuable contribution to the field of Cognitive Radio Networks. The analytical model and optimization approach presented in the paper provide valuable insights and tools for the practical implementation and management of such networks.

Copyright

Copyright © 2023 Rahul kumar. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS30700008145
Publish Date: 2023-07-24 19:56:58
ISSN: 2321-9653
Publisher: ijprems
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