A unified deep learning(DL)based algorithm is proposed for channel state information(CSI)compression in massive multipleinput multipleoutput(MIMO)systems.More importantly,the element filling strategy is investigated t...A unified deep learning(DL)based algorithm is proposed for channel state information(CSI)compression in massive multipleinput multipleoutput(MIMO)systems.More importantly,the element filling strategy is investigated to address the problem of model redesign⁃ing and retraining for different antenna typologies in practical systems.The results show that the proposed DL-based algorithm achieves better performance than the enhanced TypeⅡalgorithm in Release 16 of 3GPP.The proposed element filling strategy enables onetime training of a unified model to compress and reconstruct different channel state matrices in a practical MIMO system.展开更多
Liquid bridge force acting between wet particles is an important property in particle characterization. This paper deals with liquid bridge force between either two unequal-sized spherical particles or a sphere and a ...Liquid bridge force acting between wet particles is an important property in particle characterization. This paper deals with liquid bridge force between either two unequal-sized spherical particles or a sphere and a flat plate under conditions where gravitational effect arising from bridge distortion is negligible. In order to calculate the force of the liquid bridge efficiently and accurately, expressions of liquid configuration and liquid bridge force were derived by building a mechanical model, which assumes the liquid bridge to be circular in shape between either two unequal-sized spheres or a sphere and a plane. To assess the accuracy of the numerical results of the calculated liquid bridge forces, they were compared to the nuhlished experimental data.展开更多
文摘A unified deep learning(DL)based algorithm is proposed for channel state information(CSI)compression in massive multipleinput multipleoutput(MIMO)systems.More importantly,the element filling strategy is investigated to address the problem of model redesign⁃ing and retraining for different antenna typologies in practical systems.The results show that the proposed DL-based algorithm achieves better performance than the enhanced TypeⅡalgorithm in Release 16 of 3GPP.The proposed element filling strategy enables onetime training of a unified model to compress and reconstruct different channel state matrices in a practical MIMO system.
基金supported by the Science Foundation of Chinese Universitythe Zhejiang Provincial Natural Science Foundation of China (Grant No. Y1100636)
文摘Liquid bridge force acting between wet particles is an important property in particle characterization. This paper deals with liquid bridge force between either two unequal-sized spherical particles or a sphere and a flat plate under conditions where gravitational effect arising from bridge distortion is negligible. In order to calculate the force of the liquid bridge efficiently and accurately, expressions of liquid configuration and liquid bridge force were derived by building a mechanical model, which assumes the liquid bridge to be circular in shape between either two unequal-sized spheres or a sphere and a plane. To assess the accuracy of the numerical results of the calculated liquid bridge forces, they were compared to the nuhlished experimental data.
