The Experts below are selected from a list of 2601 Experts worldwide ranked by ideXlab platform

Yongshik Lee - One of the best experts on this subject based on the ideXlab platform.

  • relationship between cross polarization discrimination xpd and spatial correlation in indoor small cell mimo systems
    IEEE Wireless Communications Letters, 2018
    Co-Authors: Yeongeun Lim, Yae Jee Cho, Yongshik Lee
    Abstract:

    In this letter, we provide a Correlated Channel model for a dual-polarization antenna in indoor small-cell multiple-input multiple-output (MIMO) systems. In an indoor environment, we confirm that the cross-polarization discrimination (XPD) in the direction of angle-of-departure can be represented as the spatial correlation of the MIMO Channel. We also evaluate a dual-polarization antenna-based MIMO Channel model and a Spatially Correlated Channel model using a 3-D ray-tracing simulator. Furthermore, we provide the equivalent distance between adjacent antennas according to the XPD, providing insights into designing a dual-polarization antenna and its arrays.

  • relationship between cross polarization discrimination xpd and spatial correlation in indoor small cell mimo systems
    arXiv: Information Theory, 2017
    Co-Authors: Yeongeun Lim, Yae Jee Cho, Yongshik Lee
    Abstract:

    In this letter, we present a Correlated Channel model for a dual-polarization antenna to omnidirectional antennas in indoor small-cell multiple-input multiple-output (MIMO) systems. In an indoor environment, we confirm that the cross-polarization discrimination (XPD) in the direction of angle-of-departure can be represented as the spatial correlation of the MIMO Channel. We also evaluate a dual-polarization antenna-based MIMO Channel model and a Spatially Correlated Channel model using a three-dimensional (3D) ray-tracing simulator. Furthermore, we provide the equivalent distance between adjacent antennas according to the XPD, providing insights into designing a dual-polarization antenna and its arrays.

Yeongeun Lim - One of the best experts on this subject based on the ideXlab platform.

  • relationship between cross polarization discrimination xpd and spatial correlation in indoor small cell mimo systems
    IEEE Wireless Communications Letters, 2018
    Co-Authors: Yeongeun Lim, Yae Jee Cho, Yongshik Lee
    Abstract:

    In this letter, we provide a Correlated Channel model for a dual-polarization antenna in indoor small-cell multiple-input multiple-output (MIMO) systems. In an indoor environment, we confirm that the cross-polarization discrimination (XPD) in the direction of angle-of-departure can be represented as the spatial correlation of the MIMO Channel. We also evaluate a dual-polarization antenna-based MIMO Channel model and a Spatially Correlated Channel model using a 3-D ray-tracing simulator. Furthermore, we provide the equivalent distance between adjacent antennas according to the XPD, providing insights into designing a dual-polarization antenna and its arrays.

  • relationship between cross polarization discrimination xpd and spatial correlation in indoor small cell mimo systems
    arXiv: Information Theory, 2017
    Co-Authors: Yeongeun Lim, Yae Jee Cho, Yongshik Lee
    Abstract:

    In this letter, we present a Correlated Channel model for a dual-polarization antenna to omnidirectional antennas in indoor small-cell multiple-input multiple-output (MIMO) systems. In an indoor environment, we confirm that the cross-polarization discrimination (XPD) in the direction of angle-of-departure can be represented as the spatial correlation of the MIMO Channel. We also evaluate a dual-polarization antenna-based MIMO Channel model and a Spatially Correlated Channel model using a three-dimensional (3D) ray-tracing simulator. Furthermore, we provide the equivalent distance between adjacent antennas according to the XPD, providing insights into designing a dual-polarization antenna and its arrays.

Fang Yuan - One of the best experts on this subject based on the ideXlab platform.

  • tucker decomposition for rotated codebook in 3 d mimo system under Spatially Correlated Channel
    IEEE Transactions on Vehicular Technology, 2016
    Co-Authors: Fang Yuan
    Abstract:

    This correspondence proposes a new rotated codebook for a three-dimensional (3-D) multiple-input multiple-output (MIMO) system under a Spatially Correlated Channel. To avoid the problem of high dimensionality led by a large antenna array, the rotation matrix in the rotated codebook is proposed to be decomposed by Tucker decomposition into three low-dimensional units, i.e., statistical Channel direction information in horizontal and vertical directions, respectively, and statistical Channel power in the joint horizontal and vertical direction. A closed-form suboptimal solution is provided to reduce the computational complexity in Tucker decomposition. The proposed codebook has a significant dimension reduction from conventional rotated codebooks and is applicable for a 3-D MIMO system with an arbitrary form of antenna array. Simulation results demonstrate that the proposed codebook works very well for various 3-D MIMO systems.

  • tucker decomposition for rotated codebook in 3d mimo system under Spatially Correlated Channel
    arXiv: Information Theory, 2015
    Co-Authors: Fang Yuan
    Abstract:

    This correspondence proposes a new rotated codebook for three-dimensional (3D) multi-input-multi-output (MIMO) system under Spatially Correlated Channel. To avoid the problem of high dimensionality led by large antenna array, the rotation matrix in the rotated codebook is proposed to be decomposed by Tucker decomposition into three lowdimensional units, i.e., statistical Channel direction information in horizontal and vertical directions respectively, and statistical Channel power in the joint horizontal and vertical direction. A closed-form suboptimal solution is provided to reduce the computational complexity in Tucker decomposition. The proposed codebook has a significant dimension reduction from conventional rotated codebooks, and is applicable for 3D MIMO system with arbitrary form of antenna array. Simulation results demonstrate that the proposed codebook works very well for various 3D MIMO systems.

Yae Jee Cho - One of the best experts on this subject based on the ideXlab platform.

  • relationship between cross polarization discrimination xpd and spatial correlation in indoor small cell mimo systems
    IEEE Wireless Communications Letters, 2018
    Co-Authors: Yeongeun Lim, Yae Jee Cho, Yongshik Lee
    Abstract:

    In this letter, we provide a Correlated Channel model for a dual-polarization antenna in indoor small-cell multiple-input multiple-output (MIMO) systems. In an indoor environment, we confirm that the cross-polarization discrimination (XPD) in the direction of angle-of-departure can be represented as the spatial correlation of the MIMO Channel. We also evaluate a dual-polarization antenna-based MIMO Channel model and a Spatially Correlated Channel model using a 3-D ray-tracing simulator. Furthermore, we provide the equivalent distance between adjacent antennas according to the XPD, providing insights into designing a dual-polarization antenna and its arrays.

  • relationship between cross polarization discrimination xpd and spatial correlation in indoor small cell mimo systems
    arXiv: Information Theory, 2017
    Co-Authors: Yeongeun Lim, Yae Jee Cho, Yongshik Lee
    Abstract:

    In this letter, we present a Correlated Channel model for a dual-polarization antenna to omnidirectional antennas in indoor small-cell multiple-input multiple-output (MIMO) systems. In an indoor environment, we confirm that the cross-polarization discrimination (XPD) in the direction of angle-of-departure can be represented as the spatial correlation of the MIMO Channel. We also evaluate a dual-polarization antenna-based MIMO Channel model and a Spatially Correlated Channel model using a three-dimensional (3D) ray-tracing simulator. Furthermore, we provide the equivalent distance between adjacent antennas according to the XPD, providing insights into designing a dual-polarization antenna and its arrays.

Zhaocheng Wang - One of the best experts on this subject based on the ideXlab platform.

  • Spatially Correlated Channel estimation based on block iterative support detection for massive MIMO systems
    Electronics Letters, 2015
    Co-Authors: Wenqian Shen, Zhaocheng Wang
    Abstract:

    Downlink Channel estimation with low pilot overhead is an important and challenging problem in massive multiple-input-multiple-output (MIMO) systems due to the substantially increased MIMO Channel dimension. A block iterative support detection (block-ISD)-based algorithm for downlink Channel estimation to reduce the pilot overhead is proposed, which is achieved by fully exploiting the block sparsity inherent in the block-sparse equivalent Channel derived from the spatial correlations of MIMO Channels. Furthermore, unlike conventional compressive sensing (CS) algorithms that rely on prior knowledge of the sparsity level, block-ISD relaxes this demanding requirement and is thus more practically appealing. Simulation results demonstrate that block-ISD yields better normalised mean square error (NMSE) performance than classical CS algorithms, and achieve a reduction of 84% pilot overhead compared with conventional Channel estimation techniques.

  • Spatially Correlated Channel estimation based on block iterative support detection for large scale mimo
    arXiv: Information Theory, 2014
    Co-Authors: Wenqian Shen, Linglong Dai, Zhen Gao, Zhaocheng Wang
    Abstract:

    Downlink Channel estimation with low pilot overhead is an important and challenging problem in large-scale MIMO systems due to the substantially increased MIMO Channel dimension. In this letter, we propose a block iterative support detection (block-ISD) based algorithm for downlink Channel estimation to reduce the pilot overhead, which is achieved by fully exploiting the block sparsity inherent in the block-sparse equivalent Channel derived from the spatial correlations of MIMO Channels. Furthermore, unlike conventional compressive sensing (CS) algorithms that rely on prior knowledge of the sparsity level, block-ISD relaxes this demanding requirement and is thus more practically appealing. Simulation results demonstrate that block-ISD yields better normalized mean square error (NMSE) performance than classical CS algorithms, and achieve a reduction of 84% pilot overhead than conventional Channel estimation techniques.