基于协作频谱预测和频谱分割的认知无线电网络吞吐量优化
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引用本文:方浩军,齐丽娜.基于协作频谱预测和频谱分割的认知无线电网络吞吐量优化[J].南京邮电大学学报:自然科学版,2020,40(2):89~94
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作者单位
方浩军 南京邮电大学 通信与信息工程学院江苏南京210003 
齐丽娜 南京邮电大学 通信与信息工程学院江苏南京210003 
基金项目:国家自然科学基金(61427801)资助项目
中文摘要:随着无线通信技术的迅猛发展,频谱资源变得日益紧张。认知无线电技术(Cognitive Radios,CR)旨在充分利用授权无线电频谱资源。而当前的CR技术在认知无线电网络吞吐量上存在一定程度的限制,原因是传统的频谱感知技术随机选择信道进行感知操作,从而导致次用户(Secondary User,SU)在认知无线电网络中的吞吐量较低。文中为了优化系统吞吐量,结合协作频谱预测和频谱分割技术重新设计次用户的感知帧结构。具体实现上先将次用户的频谱划分为两个子频带,其中一个子频带加入协作频谱预测功能,旨在提高次用户选择空闲信道进行感知的概率。由于引入了分频工作思想,整个帧时隙全部可以用于数据传输,从而进一步提高了系统的吞吐量。文中讨论了在协作频谱预测条件下,分别在主用户(Primary User,PU)通信强度和预测精度不同时的系统吞吐量,并与传统感知帧结构下的系统吞吐量进行了对比,仿真结果表明,与传统感知帧结构相比,文中所提出的方案在系统吞吐量性能上有较大提升。
中文关键词:认知无线电网络  协作频谱预测  吞吐量优化  频谱分割
 
Throughput improvement in CRN Based on cooperative spectrum prediction and spectrum division
Abstract:With the rapid development of wireless communication technology,spectrum resources are increasingly scarce.The cognitive radio (CR) aims to make full use of the authorized radio spectrum resources.However,current CR techniques have a throughput limitation issue.The reason is that traditional spectrum sensing technology for randomly selecting channel on sensing leads to the secondary user's low throughput in the cognitive radio network (CRN).To optimize the system throughput,the secondary users' frame structure is redesigned based on cooperative spectrum prediction and spectrum division.Firstly,the band of the channel is divided into two sub bands.Then,the spectrum prediction slot is added into the sub band to improve the probability for selecting idle channels by secondary users on sensing.By introducing the idea of the frequency division,the whole frame slot can be used for data transmission,further improving the system throughput.The system throughput with different communication intensities and prediction accuracies under the condition of the cooperative spectrum prediction is compared with the system throughput on the traditional frame structure.Simulation results show that the proposed scheme has a greater improvement in the system throughput.
keywords:cognitive radio network(CRN)  cooperative spectrum prediction  throughput performance optimization  spectrum division
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