基于协作频谱预测的能量有效性分析

Energy Efficiency Analysis Based on Cooperative Spectrum Prediction

在认知无线电网络中,传统的次级用户随机选择信道进行感知,这在电池供电的认知无线电网络中会造成能量的浪费。研究了协作频谱预测下的能量有效性设计,次级用户采用协作频谱预测的方式会极大地提高感知到空闲信道的能力,进而成功地进行数据传输。仿真了在不同的频谱预测能量消耗、频谱预测错误概率和协作用户数量下的能量有效性,结果表明协作频谱预测能量有效性优于传统非协作频谱预测。

In CRN,traditional SU randomly selects channel for sensing,which wastes the energy in battery-powered CRNs.This paper investigates the energy-efficient design under cooperative spectrum prediction.This greatly improves the SUs’ability to sense idle channels and then the data are successfully transmitted.The probability of the SU idle channels sensing is significantly enhanced through cooperative spectrum prediction.The SU can easily for data transmission.This paper simulates the energy efficiency for different energy consumption of spectrum prediction,the probabilities of false prediction and the number of cooperative SUs.The results show that cooperative spectrum prediction is better than the traditional non-cooperative one in terms of energy efficiency.