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

Pouya Derakhshan-Barjoei, Gholamreza Dadashzadeh, Farbod Razzazi, S. Mohammad Razavizadeh
2011 IEICE Electronics Express  
In this paper, we develop an approach to allow the cognitive radio to operate in the presence of the licensed user using bioinspired 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
more » ... ith 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.
doi:10.1587/elex.8.136 fatcat:sih6diydlbcmhk64drtgk4ojle