Minimum power transmission design for cognitive radio networks in non-stationary environment

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概要

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• In this paper, we develop an approach to allow the cognitive radio to operate in the presence of the licensed user using bio-inspired method called particle swarm optimization. This method is invoked to solve the constrained nonlinear optimization problem for the minimum power transmission and minimum bit error rate in order to reach to maximum capacity. In addition, the received interferences at primary users remain below a specific threshold level as well as the secondary users are guaranteed with their quality of service. We reveal the modulation index in the optimization procedure. A numerical study is performed to show the convergence behavior of the proposed bio-inspired algorithm in a non-stationary environment with a dynamic cost function.

著者

• 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

• Razavizadeh S.

  Education and Research Institute for ICT

関連論文

• 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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