基于业务量感知的蜂窝网络中继站协作控制机制  被引量:2

Cooperation control mechanism of traffic-aware relay stations in cellular networks

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作  者:薛建彬[1] 何凤婕 

机构地区:[1]兰州理工大学计算机与通信学院,甘肃兰州730050

出  处:《兰州理工大学学报》2014年第4期105-109,共5页Journal of Lanzhou University of Technology

基  金:国家自然科学基金(61062002);甘肃省科技计划资助项目(1310RJZA003)

摘  要:针对目前多用户、多业务的蜂窝网络现状,采用三次指数平滑预测对小区内用户业务量进行统计预测,由预测值产生阈值K来控制中继站(relay station,RS)的工作模式使中继站与基站协作为用户提供服务.仿真结果表明,中继站与基站相互协作可以显著降低网络的掉话率和呼叫阻塞率;改变阈值调整系数α和RS数目会使网络呼叫阻塞率产生明显的变化.Aimed at current status of multi-user, multi-service cellular network, the third-order exponential smoothing prediction was used to make statistical prediction of traffics in a cell. The threshold K generated by the prediction value of traffics was used to control the RS (relay station) mode, making the RS and BS operate in collaboration to provide service for the user. The simulation result showed that the call drop rate and call block rate in network could be significantly reduced through the cooperation of the RS and the BS. By changing the adjustment coefficient a of the threshold and the number of RS, the call block rate of network would be made obviously varying.

关 键 词:无线蜂窝网络 指数平滑预测 RS模式转换 

分 类 号:TN929.5[电子电信—通信与信息系统]

 

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