针对低轨卫星物联网场景下基于窄带物联网(narrow band Internet of Things,NB-IoT)体制的物联终端大尺度地理范围内多场景应用业务时延和终端功耗需求动态变化问题,提出一种利用马尔可夫链模型评估NB-IoT终端在扩展不连续接收(extended...针对低轨卫星物联网场景下基于窄带物联网(narrow band Internet of Things,NB-IoT)体制的物联终端大尺度地理范围内多场景应用业务时延和终端功耗需求动态变化问题,提出一种利用马尔可夫链模型评估NB-IoT终端在扩展不连续接收(extended discontinuous reception,eDRX)和节能模式(power saving mode,PSM)下的时延功耗的方法,建立了以下行业务延迟和终端功耗为优化目标的多目标优化问题。在信关站利用终端历史业务数据信息离线训练基于支持向量机(support vector machine,SVM)的时延功耗的回归预测模型,以回归预测模型作为非支配排序遗传算法(non-dominated sorting genetic algorithms-II,NSGA-II)的目标函数,得到多目标优化问题的Pareto前沿解集,进一步从Pareto前沿解集中选择满足当前应用时延功耗需求的工作状态定时器参数值,在线配置终端。仿真结果表明,相比于传统的地面物联网终端固定式定时器参数配置方法,所提出的业务驱动的定时器参数配置方法在终端动态多场景应用下能够更好地满足业务时延和终端功耗需求。展开更多
Satellite Internet of Things(IoT)is a promising way to provide seamless coverage to a massive number of devices all over the world,especially in remote areas not covered by cellular networks,e.g.,forests,oceans,mounta...Satellite Internet of Things(IoT)is a promising way to provide seamless coverage to a massive number of devices all over the world,especially in remote areas not covered by cellular networks,e.g.,forests,oceans,mountains,and deserts.In general,satellite IoT networks take low Earth orbit(LEO)satellites as access points,which solves the problem of wide coverage,but leads to many challenging issues.We first give an overview of satellite IoT,with an emphasis on revealing the characteristics of IoT services.Then,the challenging issues of satellite IoT,i.e.,massive connectivity,wide coverage,high mobility,low power,and stringent delay,are analyzed in detail.Furthermore,the possible solutions to these challenges are provided.In particular,new massive access protocols and techniques are designed according to the characteristics and requirements of satellite IoT.Finally,we discuss several development trends of satellite IoT to stimulate and encourage further research in such a broad area.展开更多
文摘针对低轨卫星物联网场景下基于窄带物联网(narrow band Internet of Things,NB-IoT)体制的物联终端大尺度地理范围内多场景应用业务时延和终端功耗需求动态变化问题,提出一种利用马尔可夫链模型评估NB-IoT终端在扩展不连续接收(extended discontinuous reception,eDRX)和节能模式(power saving mode,PSM)下的时延功耗的方法,建立了以下行业务延迟和终端功耗为优化目标的多目标优化问题。在信关站利用终端历史业务数据信息离线训练基于支持向量机(support vector machine,SVM)的时延功耗的回归预测模型,以回归预测模型作为非支配排序遗传算法(non-dominated sorting genetic algorithms-II,NSGA-II)的目标函数,得到多目标优化问题的Pareto前沿解集,进一步从Pareto前沿解集中选择满足当前应用时延功耗需求的工作状态定时器参数值,在线配置终端。仿真结果表明,相比于传统的地面物联网终端固定式定时器参数配置方法,所提出的业务驱动的定时器参数配置方法在终端动态多场景应用下能够更好地满足业务时延和终端功耗需求。
基金Project supported by the National Natural Science Foundation of China(No.U21A20443)。
文摘Satellite Internet of Things(IoT)is a promising way to provide seamless coverage to a massive number of devices all over the world,especially in remote areas not covered by cellular networks,e.g.,forests,oceans,mountains,and deserts.In general,satellite IoT networks take low Earth orbit(LEO)satellites as access points,which solves the problem of wide coverage,but leads to many challenging issues.We first give an overview of satellite IoT,with an emphasis on revealing the characteristics of IoT services.Then,the challenging issues of satellite IoT,i.e.,massive connectivity,wide coverage,high mobility,low power,and stringent delay,are analyzed in detail.Furthermore,the possible solutions to these challenges are provided.In particular,new massive access protocols and techniques are designed according to the characteristics and requirements of satellite IoT.Finally,we discuss several development trends of satellite IoT to stimulate and encourage further research in such a broad area.
