The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Victor C. M. Leung - One of the best experts on this subject based on the ideXlab platform.

  • fronthauling for 5g lte u ultra dense cloud small cell networks
    IEEE Wireless Communications, 2016
    Co-Authors: Haijun Zhang, Yanjie Dong, Julian Cheng, Md Jahangir Hossain, Victor C. M. Leung
    Abstract:

    Ultra dense cloud small cell network (UDCSNet), which combines cloud computing and Massive Deployment of small cells, is a promising technology for 5G LTE-U mobile communications because it can accommodate the anticipated explosive growth of mobile users’ data traffic. As a result, fronthauling becomes a challenging problem in 5G LTE-U UDCSNet. In this article, we present an overview of the challenges and requirements of the fronthaul technology in 5G LTE-U UDCSNets. We survey the advantages and challenges for various candidate fronthaul technologies such as optical fiber, millimeter- wave-based unlicensed spectrum, Wi-Fibased unlicensed spectrum, sub-6-GHz-based licensed spectrum, and free-space optical-based unlicensed spectrum.

  • Fronthauling for 5G LTE-U ultra dense cloud small cell networks
    IEEE Wireless Communications, 2016
    Co-Authors: Haijun Zhang, Yanjie Dong, Julian Cheng, Md Jahangir Hossain, Victor C. M. Leung
    Abstract:

    Ultra dense cloud small cell network (UDCSNet), which combines cloud computing and Massive Deployment of small cells, is a promising technology for the fifth-generation (5G) LTE-U mobile communications because it can accommodate the anticipated explosive growth of mobile users' data traffic. As a result, fronthauling becomes a challenging problem in 5G LTE-U UDCSNet. In this article, we present an overview of the challenges and requirements of the fronthaul technology in 5G \mbox{LTE-U} UDCSNets. We survey the advantages and challenges for various candidate fronthaul technologies such as optical fiber, millimeter-wave based unlicensed spectrum, Wi-Fi based unlicensed spectrum, sub 6GHz based licensed spectrum, and free-space optical based unlicensed spectrum.

  • Cooperative interference mitigation and handover management for heterogeneous cloud small cell networks
    IEEE Wireless Communications, 2015
    Co-Authors: Haijun Zhang, Julian Cheng, Chunxiao Jiang, Victor C. M. Leung
    Abstract:

    Heterogeneous small cell network has attracted much attention to satisfy users' explosive data traffic requirements. Heterogeneous cloud small cell network (HCSNet), which combines cloud computing and heterogeneous small cell network, will likely play an important role in 5G mobile communication networks. However, with Massive Deployment of small cells, co-channel interference and handover management are two important problems in HCSNet, especially for cell edge users. In this article, we examine the problems of cooperative interference mitigation and handover management in HCSNet. A network architecture is described to combine cloud radio access network with small cells. An effective coordinated multi-point (CoMP) clustering scheme using affinity propagation is adopted to mitigate cell edge users' interference. A low complexity handover management scheme is presented, and its signaling procedure is analyzed in HCSNet. Numerical results show that the proposed network architecture, CoMP clustering scheme and handover management scheme can significantly increase the capacity of HCSNet while maintaining users' quality of service.

Haijun Zhang - One of the best experts on this subject based on the ideXlab platform.

  • fronthauling for 5g lte u ultra dense cloud small cell networks
    IEEE Wireless Communications, 2016
    Co-Authors: Haijun Zhang, Yanjie Dong, Julian Cheng, Md Jahangir Hossain, Victor C. M. Leung
    Abstract:

    Ultra dense cloud small cell network (UDCSNet), which combines cloud computing and Massive Deployment of small cells, is a promising technology for 5G LTE-U mobile communications because it can accommodate the anticipated explosive growth of mobile users’ data traffic. As a result, fronthauling becomes a challenging problem in 5G LTE-U UDCSNet. In this article, we present an overview of the challenges and requirements of the fronthaul technology in 5G LTE-U UDCSNets. We survey the advantages and challenges for various candidate fronthaul technologies such as optical fiber, millimeter- wave-based unlicensed spectrum, Wi-Fibased unlicensed spectrum, sub-6-GHz-based licensed spectrum, and free-space optical-based unlicensed spectrum.

  • Fronthauling for 5G LTE-U ultra dense cloud small cell networks
    IEEE Wireless Communications, 2016
    Co-Authors: Haijun Zhang, Yanjie Dong, Julian Cheng, Md Jahangir Hossain, Victor C. M. Leung
    Abstract:

    Ultra dense cloud small cell network (UDCSNet), which combines cloud computing and Massive Deployment of small cells, is a promising technology for the fifth-generation (5G) LTE-U mobile communications because it can accommodate the anticipated explosive growth of mobile users' data traffic. As a result, fronthauling becomes a challenging problem in 5G LTE-U UDCSNet. In this article, we present an overview of the challenges and requirements of the fronthaul technology in 5G \mbox{LTE-U} UDCSNets. We survey the advantages and challenges for various candidate fronthaul technologies such as optical fiber, millimeter-wave based unlicensed spectrum, Wi-Fi based unlicensed spectrum, sub 6GHz based licensed spectrum, and free-space optical based unlicensed spectrum.

  • cooperative interference mitigation and handover management for heterogeneous cloud small cell networks
    IEEE Wireless Communications, 2015
    Co-Authors: Haijun Zhang, Chunxiao Jiang, Julian Cheng
    Abstract:

    Heterogeneous small cell networks have attracted much attention for satisfying users’ explosive data traffic requirements. The heterogeneous cloud small cell network (HCSNet), which combines cloud computing and a heterogeneous small cell network, will likely play an important role in 5G mobile communication networks. However, with Massive Deployment of small cells, co-channel interference and handover management are two important problems in an HCSNet, especially for cell edge users. In this article, we examine the problems of cooperative interference mitigation and handover management in an HCSNet. A network architecture is described to combine cloud radio access network with small cells. An effective CoMP clustering scheme using affinity propagation is adopted to mitigate cell edge users’ interference. A low-complexity handover management scheme is presented, and its signaling procedure is analyzed in an HCSNet. Numerical results show that with the proposed network architecture, CoMP clustering and handover management schemes can significantly increase the capacity of HCSNet while maintaining users’ quality of service.

  • Cooperative interference mitigation and handover management for heterogeneous cloud small cell networks
    IEEE Wireless Communications, 2015
    Co-Authors: Haijun Zhang, Julian Cheng, Chunxiao Jiang, Victor C. M. Leung
    Abstract:

    Heterogeneous small cell network has attracted much attention to satisfy users' explosive data traffic requirements. Heterogeneous cloud small cell network (HCSNet), which combines cloud computing and heterogeneous small cell network, will likely play an important role in 5G mobile communication networks. However, with Massive Deployment of small cells, co-channel interference and handover management are two important problems in HCSNet, especially for cell edge users. In this article, we examine the problems of cooperative interference mitigation and handover management in HCSNet. A network architecture is described to combine cloud radio access network with small cells. An effective coordinated multi-point (CoMP) clustering scheme using affinity propagation is adopted to mitigate cell edge users' interference. A low complexity handover management scheme is presented, and its signaling procedure is analyzed in HCSNet. Numerical results show that the proposed network architecture, CoMP clustering scheme and handover management scheme can significantly increase the capacity of HCSNet while maintaining users' quality of service.

Julian Cheng - One of the best experts on this subject based on the ideXlab platform.

  • fronthauling for 5g lte u ultra dense cloud small cell networks
    IEEE Wireless Communications, 2016
    Co-Authors: Haijun Zhang, Yanjie Dong, Julian Cheng, Md Jahangir Hossain, Victor C. M. Leung
    Abstract:

    Ultra dense cloud small cell network (UDCSNet), which combines cloud computing and Massive Deployment of small cells, is a promising technology for 5G LTE-U mobile communications because it can accommodate the anticipated explosive growth of mobile users’ data traffic. As a result, fronthauling becomes a challenging problem in 5G LTE-U UDCSNet. In this article, we present an overview of the challenges and requirements of the fronthaul technology in 5G LTE-U UDCSNets. We survey the advantages and challenges for various candidate fronthaul technologies such as optical fiber, millimeter- wave-based unlicensed spectrum, Wi-Fibased unlicensed spectrum, sub-6-GHz-based licensed spectrum, and free-space optical-based unlicensed spectrum.

  • Fronthauling for 5G LTE-U ultra dense cloud small cell networks
    IEEE Wireless Communications, 2016
    Co-Authors: Haijun Zhang, Yanjie Dong, Julian Cheng, Md Jahangir Hossain, Victor C. M. Leung
    Abstract:

    Ultra dense cloud small cell network (UDCSNet), which combines cloud computing and Massive Deployment of small cells, is a promising technology for the fifth-generation (5G) LTE-U mobile communications because it can accommodate the anticipated explosive growth of mobile users' data traffic. As a result, fronthauling becomes a challenging problem in 5G LTE-U UDCSNet. In this article, we present an overview of the challenges and requirements of the fronthaul technology in 5G \mbox{LTE-U} UDCSNets. We survey the advantages and challenges for various candidate fronthaul technologies such as optical fiber, millimeter-wave based unlicensed spectrum, Wi-Fi based unlicensed spectrum, sub 6GHz based licensed spectrum, and free-space optical based unlicensed spectrum.

  • cooperative interference mitigation and handover management for heterogeneous cloud small cell networks
    IEEE Wireless Communications, 2015
    Co-Authors: Haijun Zhang, Chunxiao Jiang, Julian Cheng
    Abstract:

    Heterogeneous small cell networks have attracted much attention for satisfying users’ explosive data traffic requirements. The heterogeneous cloud small cell network (HCSNet), which combines cloud computing and a heterogeneous small cell network, will likely play an important role in 5G mobile communication networks. However, with Massive Deployment of small cells, co-channel interference and handover management are two important problems in an HCSNet, especially for cell edge users. In this article, we examine the problems of cooperative interference mitigation and handover management in an HCSNet. A network architecture is described to combine cloud radio access network with small cells. An effective CoMP clustering scheme using affinity propagation is adopted to mitigate cell edge users’ interference. A low-complexity handover management scheme is presented, and its signaling procedure is analyzed in an HCSNet. Numerical results show that with the proposed network architecture, CoMP clustering and handover management schemes can significantly increase the capacity of HCSNet while maintaining users’ quality of service.

  • Cooperative interference mitigation and handover management for heterogeneous cloud small cell networks
    IEEE Wireless Communications, 2015
    Co-Authors: Haijun Zhang, Julian Cheng, Chunxiao Jiang, Victor C. M. Leung
    Abstract:

    Heterogeneous small cell network has attracted much attention to satisfy users' explosive data traffic requirements. Heterogeneous cloud small cell network (HCSNet), which combines cloud computing and heterogeneous small cell network, will likely play an important role in 5G mobile communication networks. However, with Massive Deployment of small cells, co-channel interference and handover management are two important problems in HCSNet, especially for cell edge users. In this article, we examine the problems of cooperative interference mitigation and handover management in HCSNet. A network architecture is described to combine cloud radio access network with small cells. An effective coordinated multi-point (CoMP) clustering scheme using affinity propagation is adopted to mitigate cell edge users' interference. A low complexity handover management scheme is presented, and its signaling procedure is analyzed in HCSNet. Numerical results show that the proposed network architecture, CoMP clustering scheme and handover management scheme can significantly increase the capacity of HCSNet while maintaining users' quality of service.

Md Jahangir Hossain - One of the best experts on this subject based on the ideXlab platform.

  • fronthauling for 5g lte u ultra dense cloud small cell networks
    IEEE Wireless Communications, 2016
    Co-Authors: Haijun Zhang, Yanjie Dong, Julian Cheng, Md Jahangir Hossain, Victor C. M. Leung
    Abstract:

    Ultra dense cloud small cell network (UDCSNet), which combines cloud computing and Massive Deployment of small cells, is a promising technology for 5G LTE-U mobile communications because it can accommodate the anticipated explosive growth of mobile users’ data traffic. As a result, fronthauling becomes a challenging problem in 5G LTE-U UDCSNet. In this article, we present an overview of the challenges and requirements of the fronthaul technology in 5G LTE-U UDCSNets. We survey the advantages and challenges for various candidate fronthaul technologies such as optical fiber, millimeter- wave-based unlicensed spectrum, Wi-Fibased unlicensed spectrum, sub-6-GHz-based licensed spectrum, and free-space optical-based unlicensed spectrum.

  • Fronthauling for 5G LTE-U ultra dense cloud small cell networks
    IEEE Wireless Communications, 2016
    Co-Authors: Haijun Zhang, Yanjie Dong, Julian Cheng, Md Jahangir Hossain, Victor C. M. Leung
    Abstract:

    Ultra dense cloud small cell network (UDCSNet), which combines cloud computing and Massive Deployment of small cells, is a promising technology for the fifth-generation (5G) LTE-U mobile communications because it can accommodate the anticipated explosive growth of mobile users' data traffic. As a result, fronthauling becomes a challenging problem in 5G LTE-U UDCSNet. In this article, we present an overview of the challenges and requirements of the fronthaul technology in 5G \mbox{LTE-U} UDCSNets. We survey the advantages and challenges for various candidate fronthaul technologies such as optical fiber, millimeter-wave based unlicensed spectrum, Wi-Fi based unlicensed spectrum, sub 6GHz based licensed spectrum, and free-space optical based unlicensed spectrum.

Yanjie Dong - One of the best experts on this subject based on the ideXlab platform.

  • fronthauling for 5g lte u ultra dense cloud small cell networks
    IEEE Wireless Communications, 2016
    Co-Authors: Haijun Zhang, Yanjie Dong, Julian Cheng, Md Jahangir Hossain, Victor C. M. Leung
    Abstract:

    Ultra dense cloud small cell network (UDCSNet), which combines cloud computing and Massive Deployment of small cells, is a promising technology for 5G LTE-U mobile communications because it can accommodate the anticipated explosive growth of mobile users’ data traffic. As a result, fronthauling becomes a challenging problem in 5G LTE-U UDCSNet. In this article, we present an overview of the challenges and requirements of the fronthaul technology in 5G LTE-U UDCSNets. We survey the advantages and challenges for various candidate fronthaul technologies such as optical fiber, millimeter- wave-based unlicensed spectrum, Wi-Fibased unlicensed spectrum, sub-6-GHz-based licensed spectrum, and free-space optical-based unlicensed spectrum.

  • Fronthauling for 5G LTE-U ultra dense cloud small cell networks
    IEEE Wireless Communications, 2016
    Co-Authors: Haijun Zhang, Yanjie Dong, Julian Cheng, Md Jahangir Hossain, Victor C. M. Leung
    Abstract:

    Ultra dense cloud small cell network (UDCSNet), which combines cloud computing and Massive Deployment of small cells, is a promising technology for the fifth-generation (5G) LTE-U mobile communications because it can accommodate the anticipated explosive growth of mobile users' data traffic. As a result, fronthauling becomes a challenging problem in 5G LTE-U UDCSNet. In this article, we present an overview of the challenges and requirements of the fronthaul technology in 5G \mbox{LTE-U} UDCSNets. We survey the advantages and challenges for various candidate fronthaul technologies such as optical fiber, millimeter-wave based unlicensed spectrum, Wi-Fi based unlicensed spectrum, sub 6GHz based licensed spectrum, and free-space optical based unlicensed spectrum.