A robust scheme is proposed to jointly optimize transmit/receive beamformers for Mul-tiple Input Multiple Output(MIMO) downlinks where the available Channel State Information(CSI) at Base Station(BS)(CSIBS) is imperfe...A robust scheme is proposed to jointly optimize transmit/receive beamformers for Mul-tiple Input Multiple Output(MIMO) downlinks where the available Channel State Information(CSI) at Base Station(BS)(CSIBS) is imperfect.The criterion is to minimize the sum Mean Square Error(sum-MSE) over all users under a constraint on the total transmit power,which is a non-convex and non-linear problem.Observing from the first order optimization condition that the optimal trans-mit/receive beamformers are mutually dependent,the transmit/receive beamformers for each user are updated iteratively until the sum-MSE is minimized.Simulation results indicate that the proposed scheme can effectively mitigate the system performance loss induced by imperfect CSIBS.展开更多
为了解决铁路移动通信网络规划成本高且效率低的问题,满足铁路智能无线网络建设需求,以京沈客运专线为场景,研究了2.1 GHz频段下基于高性能射线跟踪的5G铁路专用移动通信(5G for railway, 5GR)智能无线网络规划技术.依托参考信号接收功...为了解决铁路移动通信网络规划成本高且效率低的问题,满足铁路智能无线网络建设需求,以京沈客运专线为场景,研究了2.1 GHz频段下基于高性能射线跟踪的5G铁路专用移动通信(5G for railway, 5GR)智能无线网络规划技术.依托参考信号接收功率(reference signal receiving power, RSRP)高性能射线跟踪仿真得到电磁波在特定环境下传播时的信道特性和路径损耗,进而精准预算无线链路的RSRP和下行传输速率;同时将规划问题建模为多目标优化求解问题,使用遗传算法对基站参数进行分级规划,在RSRP覆盖达标的前提下,最大化下行传输速率,智能输出基站工参最优解.仿真结果表明该技术可以满足RSRP覆盖率和最大化下行传输速率的规划目标,为后续实现精准高效的5G-R无线网络规划和优化提供仿真支撑和参考.展开更多
基金the National Natural Science Foundation of China(No.60572156)
文摘A robust scheme is proposed to jointly optimize transmit/receive beamformers for Mul-tiple Input Multiple Output(MIMO) downlinks where the available Channel State Information(CSI) at Base Station(BS)(CSIBS) is imperfect.The criterion is to minimize the sum Mean Square Error(sum-MSE) over all users under a constraint on the total transmit power,which is a non-convex and non-linear problem.Observing from the first order optimization condition that the optimal trans-mit/receive beamformers are mutually dependent,the transmit/receive beamformers for each user are updated iteratively until the sum-MSE is minimized.Simulation results indicate that the proposed scheme can effectively mitigate the system performance loss induced by imperfect CSIBS.
文摘为了解决铁路移动通信网络规划成本高且效率低的问题,满足铁路智能无线网络建设需求,以京沈客运专线为场景,研究了2.1 GHz频段下基于高性能射线跟踪的5G铁路专用移动通信(5G for railway, 5GR)智能无线网络规划技术.依托参考信号接收功率(reference signal receiving power, RSRP)高性能射线跟踪仿真得到电磁波在特定环境下传播时的信道特性和路径损耗,进而精准预算无线链路的RSRP和下行传输速率;同时将规划问题建模为多目标优化求解问题,使用遗传算法对基站参数进行分级规划,在RSRP覆盖达标的前提下,最大化下行传输速率,智能输出基站工参最优解.仿真结果表明该技术可以满足RSRP覆盖率和最大化下行传输速率的规划目标,为后续实现精准高效的5G-R无线网络规划和优化提供仿真支撑和参考.