Bio-inspired distributed beamforming for cognitive radio networks in non-stationary environment

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概要

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• Distributed power control by beamforming approach in cognitive radio networks requires a precise analysis of the impacts of the transmission parameters, tolerable interference and guarantees the quality of service of both the primary users and secondary users. In this paper, we propose an improved performance to solve the constrained nonlinear multi-object optimization and coherent power assignment by beamforming problem based on particle swarm optimization. This method is invoked to solve the constrained nonlinear optimization problem in order to reach to maximum capacity. A numerical study is performed to show the convergence behavior of the proposed algorithm and the efficiency of the proposed technique with a dynamic cost function.

著者

• Razavizadeh S.

  Iran Telecommunication Research Center

• Derakhshan-Barjoei Pouya

  Department of Electrical Engineering, Islamic Azad University, Science and Research Branch

• Dadashzadeh Gholamreza

  Shahed University

• Razzazi Farbod

  Department of Electrical Engineering, Islamic Azad University, Science and Research Branch

• Derakhshan-Barjoei Pouya

  Department of Electrical Engineering, Science and Research Branch, Islamic Azad University

関連論文

• Joint beamforming and power control in MIMO cognitive radio networks
• Minimum power transmission design for cognitive radio networks in non-stationary environment
• Bio-inspired distributed beamforming for cognitive radio networks in non-stationary environment

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