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提出了一种应用于基于正交频分多址接入(OFDMA)的认知网络模型中的资源分配协议,其认知网络采用了融合overlay和underlay的混合网络模型.在不影响主用户通信质量的前提下,overlay模型允许认知用户利用主用户未使用的空闲子信道;underlay模型允许认知用户和主用户共同占用子信道.该协议旨在最大化认知用户的体验质量(Qo E),动态地在overlay和underlay模型之间切换,并通过平均意见分数(MOS)函数进行量化,而非简单地满足各个用户在物理层和MAC层的限制条件.从对认知用户的文件传输和视频服务的仿真结果可看出,所提出的资源分配协议具有较高的频谱效率.
This paper proposes a resource allocation protocol which is used in cognitive network model based on Orthogonal Frequency Division Multiple Access (OFDMA). Its cognitive network uses a hybrid network model that combines overlay and underlay. Without affecting the primary user communication Quality, the overlay model allows cognitive users to take advantage of idle subchannels that are not used by the primary user, while the underlay model allows both cognitive and primary users to occupy subchannels.The protocol aims to maximize cognitive user quality of experience (QoE ) To dynamically switch between the overlay and underlay models and quantify through the average opinion score (MOS) function instead of simply satisfying the restriction of each user at the physical and MAC layers From the file transfer to cognitive users It can be seen from the simulation results of video services and the proposed resource allocation protocol has higher spectral efficiency.