Massive multiple-input multipleoutput(MIMO) refers to the idea that equipping base station(BS) with a large number of antenna elements,and features the ability of three dimensional(3D) beamforming technique to enable ...Massive multiple-input multipleoutput(MIMO) refers to the idea that equipping base station(BS) with a large number of antenna elements,and features the ability of three dimensional(3D) beamforming technique to enable improvement in system performance.The prior works on massive MIMO generally rely on a common assumption of the whole channel characteristics are perfectly known at both user equipment(UE) and BS,however,this is quite difficult to realize in practical frequency division duplexing(FDD) system since the channel state information reference signal(CSIRS) overhead and CSI feedback overhead are proportional to the number of antenna elements.In this paper,two hybrid CSI-RS transmission mechanism-based 3D beamforming schemes are proposed in FDD massive MIMO system,in which non-beamformed CSI-RS configuration is utilized in conjunction with beamformed CSIRS configuration.In the proposed schemes,an angle quantization-based vertical codebook and a DFT-based horizontal codebook are designed,respectively,and an eigenvalue decompositionbased precoding matrix indicator(PMI)selection algorithm is also proposed for CSI acquisition.Simulation results show that the proposed 3D beamforming schemes achieve significant improvement in system capacity without incurring excessive CSI-RS overhead.展开更多
This paper gives an outline of the algorithms and implementation of the main signal processing techniques being developed for 5G wireless communication. The first part contains a review and comparison of six orthogona...This paper gives an outline of the algorithms and implementation of the main signal processing techniques being developed for 5G wireless communication. The first part contains a review and comparison of six orthogonal and nonorthogonal waveformgeneration and modulation schemes： generalized frequencydivision multiplexing （GFDM）, filterbank multicarrier （FBMC）, universal filtered multicarrier （UFMC）, biorthogonal frequencydivision multiplexing （BFDM）, sparsecode multipleaccess （SCMA）, and nonorthogonal multiple access （NOMA）. The second part discusses spatial signal processing algorithms and implementations for massive multipleinput multipleoutput （massiveMIMO）, 3D beamforming and diversity, and orbital angular momentum （OAM） based multiplexing. The last part gives an overview of signal processing aspects of other emerging techniques in 5G, such as millimeterwave, cloud radio access networks, full duplex mode, and digital radiofrequency processing.展开更多
文摘Massive multiple-input multipleoutput(MIMO) refers to the idea that equipping base station(BS) with a large number of antenna elements,and features the ability of three dimensional(3D) beamforming technique to enable improvement in system performance.The prior works on massive MIMO generally rely on a common assumption of the whole channel characteristics are perfectly known at both user equipment(UE) and BS,however,this is quite difficult to realize in practical frequency division duplexing(FDD) system since the channel state information reference signal(CSIRS) overhead and CSI feedback overhead are proportional to the number of antenna elements.In this paper,two hybrid CSI-RS transmission mechanism-based 3D beamforming schemes are proposed in FDD massive MIMO system,in which non-beamformed CSI-RS configuration is utilized in conjunction with beamformed CSIRS configuration.In the proposed schemes,an angle quantization-based vertical codebook and a DFT-based horizontal codebook are designed,respectively,and an eigenvalue decompositionbased precoding matrix indicator(PMI)selection algorithm is also proposed for CSI acquisition.Simulation results show that the proposed 3D beamforming schemes achieve significant improvement in system capacity without incurring excessive CSI-RS overhead.
文摘This paper gives an outline of the algorithms and implementation of the main signal processing techniques being developed for 5G wireless communication. The first part contains a review and comparison of six orthogonal and nonorthogonal waveformgeneration and modulation schemes： generalized frequencydivision multiplexing （GFDM）, filterbank multicarrier （FBMC）, universal filtered multicarrier （UFMC）, biorthogonal frequencydivision multiplexing （BFDM）, sparsecode multipleaccess （SCMA）, and nonorthogonal multiple access （NOMA）. The second part discusses spatial signal processing algorithms and implementations for massive multipleinput multipleoutput （massiveMIMO）, 3D beamforming and diversity, and orbital angular momentum （OAM） based multiplexing. The last part gives an overview of signal processing aspects of other emerging techniques in 5G, such as millimeterwave, cloud radio access networks, full duplex mode, and digital radiofrequency processing.
