分级自适应伪贝叶斯时隙 ALOHA 控制算法

时隙ALOHA需要使用控制算法以保证系统获得稳定吞吐量,而控制算法的关键是精确估计系统中的节点数.针对系统中的节点数在某时刻发生剧变时,传统的伪贝叶斯控制算法(pseudo Bayesian control algorithms,PBCA)存在调节时间较长的问题,提出分阶快速自适应伪贝叶斯控制算法(ranked fast adaptive PBCA,RFA-PBCA),首先设置一个门限值nth把信道的竞争情况分成高强度和低强度2种类型,再利用游程技术将信道分成空闲(冲突)和非空闲(非冲突)2种状态.当信道检测到c(c=6)个空闲时隙时,若估计节点数n大于nth,则节点将其传输数据概率增大为原先的2倍;同理,当信道检测c(c=6)个冲突时隙后,将其传输数据概率设为原先的1/2,其他情况下则采用PBCA进行调整.仿真结果表明,RFA-PBCA能够很好适应系统节点急剧变化的应用场景,其性能明显优于传统的PBCA.

Ranked adaptive pseudo bayesian control algorithm for slotted ALOHA

The essence of the Chinese dream is to promote the ideology of Chinese dream. Around the discussion of Chinese dream, the academy has made the insightful exploration and investigation of the ideological Chinese dream, and achieved fruitful theoretical results. keeping up with dynamics and progression of research on the current Chinese dream ideological discourse power, the present study sorts out and sums up some important issues that are the essential connotation and characteristics, power bases and strategies of the Chinese dream ideological discourse power, and grasps both achievements and limits of the current research on Chinese dream, which is helpful to validate the ideological discourse of Chinese dream, and put the theoretical basis for promoting the Chinese dream ideological discourse power.