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Paper
Title

Throughput Optimization in OFDMA Cognitive Radio Networks Based on Node Selection and Power Allocation

Year: 1393
COI: JR_JESS-2-2_004
Language: EnglishView: 218
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Authors

Paria Shaghaghivand - Department of Electrical and Computer Engineering, Noshirvani University of Technology, Babol, Iran.
Ataollah Ebrahimzadeh - Department of Electrical and Computer Engineering, Noshirvani University of Technology, Babol, Iran.
Maryam Najimi - University of Science and Technology of Mazandaran (USTM) Behshahr, Iran,
Bijan Abbasi Arand - Tarbit Modares University, Tehran, Iran.

Abstract:

Node selection and resource management are two key issues in cognitive radio networks. Due to channel impairments in wireless networks, cooperative spectrum sensing is used in orthogonal frequency division multiple access (OFDMA) cognitive radio networks. The problem is designed to maximize the system throughput under the constraints of power budget and detection performance. This problem is solved using convex optimization methods and the priority of nodes for participating in sensing and transmission processes and also the optimal power of transmission nodes are obtained. For implementing this solution, three algorithms are proposed. The results reveal the benefits of the proposed algorithms in terms of throughput and sensing performance.

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Paper COI Code

This Paper COI Code is JR_JESS-2-2_004. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/644200/

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Shaghaghivand, Paria and Ebrahimzadeh, Ataollah and Najimi, Maryam and Abbasi Arand, Bijan,1393,Throughput Optimization in OFDMA Cognitive Radio Networks Based on Node Selection and Power Allocation,https://civilica.com/doc/644200

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