Performance Analysis and Optimization for Cognitive Radio Networks with Classified Secondary Users and Impatient Packets
Performance Analysis and Optimization for Cognitive Radio Networks with Classified Secondary Users and Impatient Packets
复制标题
DOI：
10.1155/2017/3613496
复制
发表时间：
2017-07
期刊：
影响因子：
--
通讯作者：
Yuan Zhao;Luyi Bai
中科院分区：
文献类型：
--
作者：
Yuan Zhao;Luyi Bai
研究了一种具有分类辅助用户的认知无线网络。系统中存在SU1和SU2两种类型的SU报文。SU1报文优先级高于SU2报文。考虑到SU报文的多样性和中断SU报文的实时性需求，提出了一种分类SU和无耐心分组的频谱分配策略。根据系统中PU包、SU1包和SU2包的数量，将网络用户的队列动力学建模为三维离散马尔可夫链，给出了马尔可夫链的转移概率矩阵。然后通过稳态分析，推导出SU2包的一些重要性能指标，用数值结果显示系统性能。特别地，为了优化SU2包的系统行为，给出了SU2包的个体最优策略和社会最优策略。最后，给出了一种定价机制，使SU2包遵循社会最优策略。
A cognitive radio network with classified Secondary Users (SUs) is considered. There are two types of SU packets, namely, SU1 packets and SU2 packets, in the system. The SU1 packets have higher priority than the SU2 packets. Considering the diversity of the SU packets and the real-time need of the interrupted SU packets, a novel spectrum allocation strategy with classified SUs and impatient packets is proposed. Based on the number of PU packets, SU1 packets, and SU2 packets in the system, by modeling the queue dynamics of the networks users as a three-dimensional discrete-time Markov chain, the transition probability matrix of the Markov chain is given. Then with the steady-state analysis, some important performance measures of the SU2 packets are derived to show the system performance with numerical results. Specially, in order to optimize the system actions of the SU2 packets, the individually optimal strategy and the socially optimal strategy for the SU2 packets are demonstrated. Finally, a pricing mechanism is provided to oblige the SU2 packets to follow the socially optimal strategy.