摘要
为了降低认知用户数据包的平均时延,同时提高其吞吐量,针对集中式认知无线网络,提出一种基于mini-slot时间结构的频谱分配策略.考虑频谱切换过程和非理想感知结果,建立三维Markov模型,并使用矩阵几何解方法给出认知用户数据包平均时延和吞吐量等性能指标表达式.通过系统实验定量分析性能指标的变化趋势,验证基于mini-slot时间结构的频谱分配策略的有效性.面向认知用户构造个人收益和社会收益函数,给出频谱接入的收费方案,实现所提频谱分配策略的社会最优.
In order to reduce the average latency and improve the throughput of secondary user packets,a spectrum allocation strategy with a mini-slot time structure is proposed based on a centralized cognitive radio network. Considering the spectrum handoff procedure and the imperfect sensing results,a three-dimensional Markov model is established. By applying the method of matrix-geometric solution,the expressions for the performance measures in terms of the average latency and the throughput of secondary user packets are derived. Numerical results are provided to quantify the change trends of the system performance and verify the effectiveness of the proposed spectrum allocation strategy. For the secondary user packets,the functions of the individually reward and the social reward are constructed,then the spectrum access pricing policy is carried out to optimize the spectrum allocation strategy socially.
出处
《小型微型计算机系统》
CSCD
北大核心
2016年第3期535-539,共5页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(61472342)资助
河北省自然科学基金项目(2012203093)资助