The fifth generation(5G)communication has been a hotspot of research in recent years,and both research institutions and industrial enterprises put a lot of interests in 5G communications at some new frequency bands.In...The fifth generation(5G)communication has been a hotspot of research in recent years,and both research institutions and industrial enterprises put a lot of interests in 5G communications at some new frequency bands.In this paper,we investigate the radio channels of 5G systems below 6 GHz according to the 5G communication requirements and scenarios.Channel measurements were conducted on the campus of Beijing Jiaotong University,China at two key optional frequency bands below 6 GHz.By using the measured data,we analyzed key channel parameters at 460 MHz and 3.5 GHz,such as power delay profile,path loss exponent,shadow fading,and delay spread.The results are helpful for the 5G communication system design.展开更多
The accurate estimation of expressway traffic state can provide decision-making for both travelers and traffic managers. The speed is one of the most representative parameter of the traffic state. So the expressway sp...The accurate estimation of expressway traffic state can provide decision-making for both travelers and traffic managers. The speed is one of the most representative parameter of the traffic state. So the expressway speed spatial distribution can be taken as the expressway traffic state equivalent. In this paper, an algorithm based on virtual speed sensors (VSS) is presented to estimate the expressway traffic state (the speed spatial distribution). To gain the spatial distribution of expressway traffic state, virtual speed sensors are defined between adjacent traffic flow sensors. Then, the speed data extracted from traffic flow sensors in time series are mapped to space series to design virtual speed sensors. Then the speed of virtual speed sensors can be calculated with the weight matrix which is related with the speed of virtual speed sensors and the speed data extracted from traffic flow sensors and the speed data extracted from traffic flow sensors in time series. Finally, the expressway traffic state (the speed spatial distribution) can be gained. The acquisition of average travel speed of the expressway is taken for application of this traffic state estimation algorithm. One typical expressway in Beijing is adopted for the experiment analysis. The results prove that this traffic state estimation approach based on VSS is feasible and can achieve a high accuracy.展开更多
基金supported by the National Natural Science Foundation of China under Grant 61501020the State Key Laboratory of Rail Traffic Control and Safety under Grant RCS2016ZJ005+5 种基金the China Postdoctoral Science Foundation under Grant 2016M591355the Fundamental Research Funds for the Central Universities(No.2016JBZ006)the Special Project of Cultivation and Development of Science and Technology Innovation Base in 2015the National Natural Science Foundation of China under Grant U1334202the Natural Science Base Research Plan in Shanxi Province of China under Grant 2015JM6320the Key Project from Beijing science and Technology Commission under Grant D151100000115004.
文摘The fifth generation(5G)communication has been a hotspot of research in recent years,and both research institutions and industrial enterprises put a lot of interests in 5G communications at some new frequency bands.In this paper,we investigate the radio channels of 5G systems below 6 GHz according to the 5G communication requirements and scenarios.Channel measurements were conducted on the campus of Beijing Jiaotong University,China at two key optional frequency bands below 6 GHz.By using the measured data,we analyzed key channel parameters at 460 MHz and 3.5 GHz,such as power delay profile,path loss exponent,shadow fading,and delay spread.The results are helpful for the 5G communication system design.
基金supported by the Beijing Science Foundation Plan Projects (Grant No. D07020601400707, D101106049710005)the National Hi-Tech Research and Development Program of China ("863" Project) (Grant No. 2006AA11Z231)the National Natural Science Foundation of China (Grant No. 61104164)
文摘The accurate estimation of expressway traffic state can provide decision-making for both travelers and traffic managers. The speed is one of the most representative parameter of the traffic state. So the expressway speed spatial distribution can be taken as the expressway traffic state equivalent. In this paper, an algorithm based on virtual speed sensors (VSS) is presented to estimate the expressway traffic state (the speed spatial distribution). To gain the spatial distribution of expressway traffic state, virtual speed sensors are defined between adjacent traffic flow sensors. Then, the speed data extracted from traffic flow sensors in time series are mapped to space series to design virtual speed sensors. Then the speed of virtual speed sensors can be calculated with the weight matrix which is related with the speed of virtual speed sensors and the speed data extracted from traffic flow sensors and the speed data extracted from traffic flow sensors in time series. Finally, the expressway traffic state (the speed spatial distribution) can be gained. The acquisition of average travel speed of the expressway is taken for application of this traffic state estimation algorithm. One typical expressway in Beijing is adopted for the experiment analysis. The results prove that this traffic state estimation approach based on VSS is feasible and can achieve a high accuracy.
