Holographic multiple-input multiple-output(HMIMO)has become an emerging technology for achieving ultra-high frequency spectral efficiency and spatial resolution in future wireless systems.The increasing antenna apertu...Holographic multiple-input multiple-output(HMIMO)has become an emerging technology for achieving ultra-high frequency spectral efficiency and spatial resolution in future wireless systems.The increasing antenna aperture leads to a more significant characterization of the spherical wavefront in near-field communications in HMIMO scenarios.Beam training as a key technique for wireless communication is worth exploring in this near-field scenario.Compared with the widely researched far-field beam training,the increased dimensionality of the search space for near-field beam training poses a challenge to the complexity and accuracy of the proposed algorithm.In this paper,we introduce several typical near-field beam training methods:exhaustive beam training,hierarchical beam training,and multi-beam training that includes equal interval multi-beam training and hash multi-beam training.The performances of these methods are compared through simulation analysis,and their effectiveness is verified on the hardware testbed as well.Additionally,we provide application scenarios,research challenges,and potential future research directions for near-field beam training.展开更多
In tests on dynamic performance of high-speed trains, it is found that there is an unfavorable speed interval for some vehicles, which would he harmful to the daily operation of the vehicle. By analyzing the relations...In tests on dynamic performance of high-speed trains, it is found that there is an unfavorable speed interval for some vehicles, which would he harmful to the daily operation of the vehicle. By analyzing the relationship of vibration frequencies of the vehicle and its running speed, this paper finds that the unfavorable speed interval is caused by the vibration superposition of the natural frequency of the vehicle system with the frequency of external excitation. Taking some electric multiple units （EMUs） as examples, we proposed an approach to obtaining the unfavorable speed interval of vehicles. By analyzing the relation between vibration frequencies and the running speed of the vehicle, the natural frequencies of the vehicle system and the external excitations are distinguished. In the end, we suggest some measures to minimize the negative influences of the unfavorable speed interval, such as shifting frequency, reducing or eliminating external excitation.展开更多
文摘Holographic multiple-input multiple-output(HMIMO)has become an emerging technology for achieving ultra-high frequency spectral efficiency and spatial resolution in future wireless systems.The increasing antenna aperture leads to a more significant characterization of the spherical wavefront in near-field communications in HMIMO scenarios.Beam training as a key technique for wireless communication is worth exploring in this near-field scenario.Compared with the widely researched far-field beam training,the increased dimensionality of the search space for near-field beam training poses a challenge to the complexity and accuracy of the proposed algorithm.In this paper,we introduce several typical near-field beam training methods:exhaustive beam training,hierarchical beam training,and multi-beam training that includes equal interval multi-beam training and hash multi-beam training.The performances of these methods are compared through simulation analysis,and their effectiveness is verified on the hardware testbed as well.Additionally,we provide application scenarios,research challenges,and potential future research directions for near-field beam training.
文摘In tests on dynamic performance of high-speed trains, it is found that there is an unfavorable speed interval for some vehicles, which would he harmful to the daily operation of the vehicle. By analyzing the relationship of vibration frequencies of the vehicle and its running speed, this paper finds that the unfavorable speed interval is caused by the vibration superposition of the natural frequency of the vehicle system with the frequency of external excitation. Taking some electric multiple units （EMUs） as examples, we proposed an approach to obtaining the unfavorable speed interval of vehicles. By analyzing the relation between vibration frequencies and the running speed of the vehicle, the natural frequencies of the vehicle system and the external excitations are distinguished. In the end, we suggest some measures to minimize the negative influences of the unfavorable speed interval, such as shifting frequency, reducing or eliminating external excitation.
