基于最佳中继选择的异构多媒体自适应协作分集算法

本文提出一种自适应协作分集方案，以保证异构多媒体业务中主用户传输的服务质量(QoS)，并改善次级用户的数据传输性能。采用基于功率控制的系统模型，使得主用户的平均信道增益相对稳定，并且能够在次用户中进行估计，可以节省在反馈信道上的资源。根据次级用户传输过程中的中断概率提出次级中断概率的闭式表达式 ，在满足主用户传输过程中所需要的中断概率约束的条件下，针对主用户和次用户的协作性和瑞利衰落信道的适应性提出了最佳中继选择的自适应协作分集，尽可能地次级中断概率，并获得的分集增益。实验仿真结果表明，该算法可以减少次级用户的中断概率并提高频谱效率，有助于提升次级用户的数据传输性能。

Heterogeneous multimedia adaptive cooperative diversity algorithm that based on the best relay selection

This paper presents an adaptive cooperative diversity programs to ensure the quality of multimedia services in a heterogeneous primary user transmission service (QoS), and to improve the data transfer performance of secondary users. Using the system model based on the power control so that the primary user''s average channel gain is relatively stable, and can be estimated in the second user, the resources can be saved in the feedback channel. According to the secondary user transmission interrupt probability is put forward in the process of secondary break the closed expression of probability, in meet the main users in the process of transmission required by the interrupt probability constraints, for primary and secondary users of collaboration and adaptability Rayleigh fading channels made the best relay selection adaptive cooperative diversity, secondary interruption as possible probability and diversity gain obtained. Simulation results show that the algorithm can reduce the outage probability of secondary users and improve spectrum efficiency, help to improve the data transfer performance of secondary users.