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A Design of Minimizing Interference and Maximizing Throughput in Cognitive Radio Network by Joint Optimization of the Channel Allocation and Power Control

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Abstract

Most of the existing technologies for cognitive radio network (CRN) is essential for providing an effective solution for spectrum utilization problem in the wireless medium. Power allocation plays a dual and complex role in the multi-hop network, and these dual roles are known to be minimizing the total transmission power and also minimize the outage probability. Cognitive Radio technology enables a feasible way of using white spaces by incorporating diverse spectrum-sharing approaches. Interference makes efficient communication while sharing the channels among unlicensed and licensed users. In addition, Signal to Interference Noise Ratio also enhances the channel capacity. To investigate a joint channel and power allocation for CRNs, this paper aims to optimize the channel allocation and power control of secondary users to minimize interference between primary and secondary users and maximize throughput in CRN. This joint optimization is carried out with the combination of two renowned heuristic strategies that is termed Adaptive Luciferin Enhancement-based Team Work-Glowworm Optimization, which is carried out by deriving the multi-objective function regarding functions like Throughput and Interference. The analysis has demonstrated that the developed CRN framework has maximized the throughput of the CRN and also minimized the interference among the primary users over the existing power allocation strategies. Further, this model has enhanced the network lifetime and analyzed the convergence and complexity of the algorithm.

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Authors and Affiliations

  1. ECE, KL Deemed to be University, Guntur, India

    T. Sarath Babu & Penke Satyanarayana

  2. ECE, G. Pulla Reddy Engineering College, Kurnool, India

    S. Nagaraja Rao

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  1. T. Sarath Babu
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  2. S. Nagaraja Rao
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  3. Penke Satyanarayana
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Babu, T.S., Rao, S.N. & Satyanarayana, P. A Design of Minimizing Interference and Maximizing Throughput in Cognitive Radio Network by Joint Optimization of the Channel Allocation and Power Control. Int J Wireless Inf Networks 30, 211–225 (2023). https://doi.org/10.1007/s10776-023-00592-z

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  • DOI: https://doi.org/10.1007/s10776-023-00592-z

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