多业务LEO卫星网络中基于概率的带宽预留策略

针对多业务LEO卫星网络中频繁切换所带来的通信链路保持问题,提出了基于概率的带宽自适应预留策略(APRS).该策略根据LEO卫星网络中地面终端运动的确定性与可预测性,利用终端发生切换的概率为即将到达小区的呼叫进行非全额带宽预留,并基于系统切换性能对预留带宽进行实时自适应调整.文中还给出了该策略在多业务条件下的具体实施方法,并通过仿真验证了APRS的有效性.仿真结果表明,APRS能够在不同用户QoS要求的多业务环境下合理预留、分配带宽,为用户提供满意的QoS,增大系统资源利用率.

Probability-Based Bandwidth Reservation Strategy for LEO Satellite Networks with Multi-Class Traffic

In order to maintain users’smooth connection to satellites during frequent handovers in LEO(Low Earth Orbit) satellite networks with multi-class traffic,an adaptive probability-based bandwidth reservation strategy(APRS) is proposed.Based on the deterministic and predictive features of the movement of mobile users APRS reserves the bandwidth without full amount for coming handovers and according to the handover probability of mobile users and adaptively adjusts its reservation according to the current network condition.Moreover,the implementation methods of APRS in multi-class traffic environment are proposed,and the effectiveness of it is verified via simulation.The results indicate that APRS can reserve and allocate appropriate bandwidth for users in multi-class traffic environment,provide users with satisfactory quality of service(QoS) and increase the bandwidth utilization.