基于Stackelberg博弈的城市轨道交通CBTC系统越区切换研究  

Research on the Handoff of CBTC Systems for Urban Rail Transit Based on Stackelberg Games

作　　者：张雁鹏[1] 党建武[1] 刘晓娟[2] 闵永智[1] 

机构地区：[1]兰州交通大学自动化与电气工程学院,甘肃兰州730070 [2]兰州交通大学电子与信息工程学院,甘肃兰州730070

出　　处：《铁道学报》2015年第2期39-45,共7页Journal of the China Railway Society

基　　金：甘肃省青年科技基金(1308RJYA057);兰州交通大学科技支撑经济社会跨越发展基金(ZC2014004);兰州交通大学青年科学研究基金(2012036)

摘　　要：针对城市轨道交通CBTC系统无线局域网越区切换问题,结合具有竞争机制的Stackelberg博弈模型,提出一种采用协作分集技术的列车越区切换算法,满足CBTC系统可靠连续通信的要求。本文分析列车在无线局域网环境下的中继触发和越区切换过程,中继节点根据列车请求的带宽确定价格策略,设计一种基于价格和收益的列车效用函数,证明纳什均衡的存在性。为获取列车的最优带宽策略和网络收益,提出一种分布式迭代学习法求解纳什均衡,并进一步分析列车越区切换过程。仿真结果表明,本文提出的博弈策略能够激励中继节点参与协作,合理分配网络资源;列车动态越区切换时间小于50ms,切换成功概率明显高于传统切换方法。To solve the issue of handoff management of WLAN in CBTC systems for urban rail transit,a handoff algorithm using cooperative diversity technology for trains has been proposed,which has been combined with Stackelberg game model with competitive mechanism,to meet the needs for continuous communications for CBTC systems with high reliability.After the analysis of relay triggering and the handoff process of a running train under the WLAN environment,the price strategy has been determined by relay nodes in the light of the bandwidth requested by the train.Then,a utility function of train,based on price and revenue,has been designed,and the existence of Nash equilibrium has been proved.In order to achieve the optimized bandwidth strategy of train and network revenue,a distributed iterative learning method has been proposed to figure out the Nash equilibrium and the handoff process of train has been further analyzed.The simulation experiments show that the game strategy proposed in this paper can motivate relay nodes to participate in the cooperation for reasonable resource allocation of networks,the dynamic handoff time of the train is less than 50 ms and the handoff success probability is significantly higher than that of the traditional method.

关 键 词：基于通信的列车控制 车地通信 STACKELBERG博弈 越区切换 协作分集 

分 类 号：U248.48[交通运输工程—道路与铁道工程]