摘要
In this paper,a massive multiple input multiple output(MIMO)channel measurement campaign with two setups is conducted in an indoor lobby environment.In the first setup,two types of 256-element virtual uniform rectangular arrays(URAs),i.e.,the 4×64 virtual URA and the 64×4 virtual URA are used.The carrier frequency is 11 GHz;in the second setup,measurements are performed at 4,6,11,13,15,18 GHz at two different user locations.The channel characterization is presented by investigating the typical channel parameters,including average power delay profile(APDP),K factor,root mean square(RMS)delay spread,and coherence bandwidth.Moreover,the channel characteristics in angular domain are investigated by applying the space-alternating generalized expectation-maximization(SAGE)algorithm.The extracted multipath components(MPCs)are preliminarily clustered by visual inspection,and related to the interacting objects(IOs)in physical environment.Multipath structures at multiple frequency bands are examined.Direction spread of departure is estimated to evaluate the directional dispersion at the base station(BS)side.The results in this paper can help to reveal the propagation mechanisms in massive MIMO channels,and provide a foundation for the design and application of the practical massive MIMO system.
In this paper, a massive multiple input multiple output(MIMO) channel measurement campaign with two setups is conducted in an indoor lobby environment. In the first setup, two types of 256-element virtual uniform rectangular arrays(URAs), i.e., the4×64 virtual URA and the 64×4 virtual URA are used. The carrier frequency is 11 GHz; in the second setup, measurements are performed at 4, 6, 11, 13, 15, 18 GHz at two different user locations. The channel characterization is presented by investigating the typical channel parameters, including average power delay profile(APDP), K factor, root mean square(RMS) delay spread, and coherence bandwidth.Moreover, the channel characteristics in angular domain are investigated by applying the space-alternating generalized expectationmaximization(SAGE) algorithm. The extracted multipath components(MPCs) are preliminarily clustered by visual inspection,and related to the interacting objects(IOs) in physical environment. Multipath structures at multiple frequency bands are examined.Direction spread of departure is estimated to evaluate the directional dispersion at the base station(BS) side. The results in this paper can help to reveal the propagation mechanisms in massive MIMO channels, and provide a foundation for the design and application of the practical massive MIMO system.
基金
supported in part by the National Key Research and Development Program of China under Grant 2016YFE0200900 and 2018YFF0212103
in part by NSFC under Grant 61725101, 61771037, 6181101396, and U1834210
in part by the Beijing Natural Science Foundation under Grant 4182047 and L172020
in part by the Fundamental research funds for the central universities under Grant 2017RC031 and Grant 2018JBM301
in part by the Major projects of Beijing Municipal Science and Technology Commission under Grant Z181100003218010
in part by the State Key Lab of Rail Traffic Control and Safety under Grant 2017JBM332, RCS2018ZZ007, and Grant RCS2018ZT014
in part by the Teaching Reform Project under Grant 134496522
