认知无线网络中频谱预测的能量有效性设计

基于频谱预测对认知用户进行能量有效性设计,重新设计认知用户的帧结构,在频谱感知前加入频谱预测时隙,在预测为空闲的信道中选择信道进行频谱感知,避免浪费频谱感知能量,与传统认知用户相比,提高了能量有效性。推导表明,认知用户能量效率由频谱预测能量、频谱预测时长、认知无线网络通信强度、信道数量决定。仿真结果表明,为了提高认知用户的能量效率,频谱预测参数必须满足预测能量低于32mW、预测时长小于15ms的条件。认知无线网络的通信强度的提高和信道数量的增加能够提高认知用户的能量效率。

Energy-efficient design of spectrum prediction in cognitive radio networks

An energy efficient secondary user was designed based on the spectrum prediction. The frame structure of the secondary user was redesigned, and the prediction slot was added before the sensing slot to select channel for sensing only from the channels predicted to be idle. Consequently, the sensing energy is saved and the energy efficiency is improved compared to the traditional secondary user. It is further found that the energy efficiency is determined by prediction energy, prediction duration, traffic intensity and the number of channels in cognitive radio networks(CRN). Simulation results show that to improve energy efficiency, prediction energy should be controlled less than 32 mW and prediction duration should be cut shorter than 15ms. Furthermore, increasing traffic intensity and channel amount of the cognitive radio networks improves the energy efficiency of secondary user.