绿色认知无线电自适应参数调整

Parameter adaptation in green cognitive radio

提出了绿色认知无线电自适应参数调整问题模型,并提出了基于粒子群算法的调整方法,通过仿真对所提方法性能进行了分析.结果表明不同服务质量(quality of service,QoS)要求情况下,本文所提方法均能在满足QoS要求的前提下尽可能减少系统总的发射功率,从而达到了降低能量消耗的目的.

The model for parameter adaptation problem in green cognitive radio and a particle swarm optimization based solution are proposed.Simulations are conducted to show the performance of the proposed method.Results show that given different quality of service（QoS） requirements,the proposed method can reduce the total transmit power of the system while maintaining the QoS requirements.Thus the goal of reducing energy consumption is reached.