The Experts below are selected from a list of 288 Experts worldwide ranked by ideXlab platform

Kwang-cheng Chen - One of the best experts on this subject based on the ideXlab platform.

  • Delay Guaranteed Network Association for Mobile Machines in Heterogeneous Cloud Radio Access Network
    IEEE Transactions on Mobile Computing, 2018
    Co-Authors: Shao-chou Hung, Hsiang Hsu, Qimei Cui, Shin-ming Cheng, Kwang-cheng Chen
    Abstract:

    IEEE In the heterogeneous cloud radio access network (H-CRAN), which consists of multiple access points (APs) providing smaller coverage and a high Power Node (HPN) providing ubiquitous coverage, the mobile machines can connect to multiple APs and HPN by coordinated multi-point transmission (CoMP) concurrently to achieve ultra-reliable and low-latency communication. In this paper, we innovate a proactive network association mechanism by taking CoMP into consideration under the H-CRAN architecture. We consider two scenarios under the H-CRAN architecture: with and without the assistance of HPN in the network. By regarding APs/HPN in H-CRAN as resources that allocated to mobile machines, a novel proactive network association concept is proposed, and then generalized from one-to-one to multiple-to-multiple case. With the assistance of Lyapunov optimization theory, effective bandwidth and capacity theory, we can prove that this proactive network association scheme can guarantee that the queueing delay performance and the delay violation probability can be both smaller than a corresponding upper bound. That is, both low-latency and ultra-reliable communication can be guaranteed. We also conduct experiments by using real trace from taxis movement data to verify the analytical results. Out results suggest the guidelines to design the proactive network association scheme in H-CRAN.

  • Delay Guaranteed Network Association for Mobile Machines in Heterogeneous Cloud Radio Access Network
    IEEE Transactions on Mobile Computing, 2018
    Co-Authors: Shao-chou Hung, Shin-ming Cheng, Kwang-cheng Chen
    Abstract:

    In the heterogeneous cloud radio access network (H-CRAN), which consists of multiple access points (APs) providing smaller coverage and a high Power Node (HPN) providing ubiquitous coverage, the mobile machines can connect to multiple APs and HPN by coordinated multi-point transmission (CoMP) concurrently to achieve ultra-reliable and low-latency communication. However, the current network association (or priorly known as handovers), which only focuses on switching between two base stations, may not be an efficient scheme in H-CRAN. In this paper, we innovate a proactive network association mechanism by taking CoMP into consideration under the H-CRAN architecture. We consider two scenarios under the H-CRAN architecture: with and without the assistance of HPN in the network. By regarding APs/HPN in H-CRAN as resources that allocated to mobile machines, a novel proactive network association concept is proposed, and then generalized from one-to-one to multiple-to-multiple case. With the assistance of Lyapunov optimization theory, effective bandwidth, and capacity theory, we can prove that this proactive network association scheme can guarantee that the queueing delay performance and the delay violation probability can be both smaller than a corresponding upper bound. That is, both low-latency and ultra-reliable communication can be guaranteed. We also conduct experiments by using real trace from taxis movement data to verify the analytical results. Our results suggest the guidelines to design the proactive network association scheme in H-CRAN.

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

  • VTC Fall - Step-Wise Optimal Low Power Node Deployment in LTE Heterogeneous Networks
    2012 IEEE Vehicular Technology Conference (VTC Fall), 2012
    Co-Authors: Ho Ting Cheng, Aaron Callard, Gamini Senarath, Hang Zhang
    Abstract:

    In this paper, we propose a step-wise optimal low Power Node (LPN) deployment algorithm for LTE heterogeneous networks. Our proposed LPN deployment algorithm takes signal quality, relative loading among macro cells and LPN cells, and user density into account. Simulation results show that the proposed algorithm can achieve close to 100% coverage gain and more than 50% average cell throughput gain over a random LPN deployment scheme.

  • Step-Wise Optimal Low Power Node Deployment in LTE Heterogeneous Networks
    2012 IEEE Vehicular Technology Conference (VTC Fall), 2012
    Co-Authors: Ho Ting Cheng, Aaron Callard, Gamini Senarath, Hang Zhang
    Abstract:

    In this paper, we propose a step-wise optimal low Power Node (LPN) deployment algorithm for LTE heterogeneous networks. Our proposed LPN deployment algorithm takes signal quality, relative loading among macro cells and LPN cells, and user density into account. Simulation results show that the proposed algorithm can achieve close to 100% coverage gain and more than 50% average cell throughput gain over a random LPN deployment scheme.

Shao-chou Hung - One of the best experts on this subject based on the ideXlab platform.

  • Delay Guaranteed Network Association for Mobile Machines in Heterogeneous Cloud Radio Access Network
    IEEE Transactions on Mobile Computing, 2018
    Co-Authors: Shao-chou Hung, Hsiang Hsu, Qimei Cui, Shin-ming Cheng, Kwang-cheng Chen
    Abstract:

    IEEE In the heterogeneous cloud radio access network (H-CRAN), which consists of multiple access points (APs) providing smaller coverage and a high Power Node (HPN) providing ubiquitous coverage, the mobile machines can connect to multiple APs and HPN by coordinated multi-point transmission (CoMP) concurrently to achieve ultra-reliable and low-latency communication. In this paper, we innovate a proactive network association mechanism by taking CoMP into consideration under the H-CRAN architecture. We consider two scenarios under the H-CRAN architecture: with and without the assistance of HPN in the network. By regarding APs/HPN in H-CRAN as resources that allocated to mobile machines, a novel proactive network association concept is proposed, and then generalized from one-to-one to multiple-to-multiple case. With the assistance of Lyapunov optimization theory, effective bandwidth and capacity theory, we can prove that this proactive network association scheme can guarantee that the queueing delay performance and the delay violation probability can be both smaller than a corresponding upper bound. That is, both low-latency and ultra-reliable communication can be guaranteed. We also conduct experiments by using real trace from taxis movement data to verify the analytical results. Out results suggest the guidelines to design the proactive network association scheme in H-CRAN.

  • Delay Guaranteed Network Association for Mobile Machines in Heterogeneous Cloud Radio Access Network
    IEEE Transactions on Mobile Computing, 2018
    Co-Authors: Shao-chou Hung, Shin-ming Cheng, Kwang-cheng Chen
    Abstract:

    In the heterogeneous cloud radio access network (H-CRAN), which consists of multiple access points (APs) providing smaller coverage and a high Power Node (HPN) providing ubiquitous coverage, the mobile machines can connect to multiple APs and HPN by coordinated multi-point transmission (CoMP) concurrently to achieve ultra-reliable and low-latency communication. However, the current network association (or priorly known as handovers), which only focuses on switching between two base stations, may not be an efficient scheme in H-CRAN. In this paper, we innovate a proactive network association mechanism by taking CoMP into consideration under the H-CRAN architecture. We consider two scenarios under the H-CRAN architecture: with and without the assistance of HPN in the network. By regarding APs/HPN in H-CRAN as resources that allocated to mobile machines, a novel proactive network association concept is proposed, and then generalized from one-to-one to multiple-to-multiple case. With the assistance of Lyapunov optimization theory, effective bandwidth, and capacity theory, we can prove that this proactive network association scheme can guarantee that the queueing delay performance and the delay violation probability can be both smaller than a corresponding upper bound. That is, both low-latency and ultra-reliable communication can be guaranteed. We also conduct experiments by using real trace from taxis movement data to verify the analytical results. Our results suggest the guidelines to design the proactive network association scheme in H-CRAN.

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

  • VTC Fall - Step-Wise Optimal Low Power Node Deployment in LTE Heterogeneous Networks
    2012 IEEE Vehicular Technology Conference (VTC Fall), 2012
    Co-Authors: Ho Ting Cheng, Aaron Callard, Gamini Senarath, Hang Zhang
    Abstract:

    In this paper, we propose a step-wise optimal low Power Node (LPN) deployment algorithm for LTE heterogeneous networks. Our proposed LPN deployment algorithm takes signal quality, relative loading among macro cells and LPN cells, and user density into account. Simulation results show that the proposed algorithm can achieve close to 100% coverage gain and more than 50% average cell throughput gain over a random LPN deployment scheme.

  • Step-Wise Optimal Low Power Node Deployment in LTE Heterogeneous Networks
    2012 IEEE Vehicular Technology Conference (VTC Fall), 2012
    Co-Authors: Ho Ting Cheng, Aaron Callard, Gamini Senarath, Hang Zhang
    Abstract:

    In this paper, we propose a step-wise optimal low Power Node (LPN) deployment algorithm for LTE heterogeneous networks. Our proposed LPN deployment algorithm takes signal quality, relative loading among macro cells and LPN cells, and user density into account. Simulation results show that the proposed algorithm can achieve close to 100% coverage gain and more than 50% average cell throughput gain over a random LPN deployment scheme.

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

  • Delay Guaranteed Network Association for Mobile Machines in Heterogeneous Cloud Radio Access Network
    IEEE Transactions on Mobile Computing, 2018
    Co-Authors: Shao-chou Hung, Hsiang Hsu, Qimei Cui, Shin-ming Cheng, Kwang-cheng Chen
    Abstract:

    IEEE In the heterogeneous cloud radio access network (H-CRAN), which consists of multiple access points (APs) providing smaller coverage and a high Power Node (HPN) providing ubiquitous coverage, the mobile machines can connect to multiple APs and HPN by coordinated multi-point transmission (CoMP) concurrently to achieve ultra-reliable and low-latency communication. In this paper, we innovate a proactive network association mechanism by taking CoMP into consideration under the H-CRAN architecture. We consider two scenarios under the H-CRAN architecture: with and without the assistance of HPN in the network. By regarding APs/HPN in H-CRAN as resources that allocated to mobile machines, a novel proactive network association concept is proposed, and then generalized from one-to-one to multiple-to-multiple case. With the assistance of Lyapunov optimization theory, effective bandwidth and capacity theory, we can prove that this proactive network association scheme can guarantee that the queueing delay performance and the delay violation probability can be both smaller than a corresponding upper bound. That is, both low-latency and ultra-reliable communication can be guaranteed. We also conduct experiments by using real trace from taxis movement data to verify the analytical results. Out results suggest the guidelines to design the proactive network association scheme in H-CRAN.

  • Delay Guaranteed Network Association for Mobile Machines in Heterogeneous Cloud Radio Access Network
    IEEE Transactions on Mobile Computing, 2018
    Co-Authors: Shao-chou Hung, Shin-ming Cheng, Kwang-cheng Chen
    Abstract:

    In the heterogeneous cloud radio access network (H-CRAN), which consists of multiple access points (APs) providing smaller coverage and a high Power Node (HPN) providing ubiquitous coverage, the mobile machines can connect to multiple APs and HPN by coordinated multi-point transmission (CoMP) concurrently to achieve ultra-reliable and low-latency communication. However, the current network association (or priorly known as handovers), which only focuses on switching between two base stations, may not be an efficient scheme in H-CRAN. In this paper, we innovate a proactive network association mechanism by taking CoMP into consideration under the H-CRAN architecture. We consider two scenarios under the H-CRAN architecture: with and without the assistance of HPN in the network. By regarding APs/HPN in H-CRAN as resources that allocated to mobile machines, a novel proactive network association concept is proposed, and then generalized from one-to-one to multiple-to-multiple case. With the assistance of Lyapunov optimization theory, effective bandwidth, and capacity theory, we can prove that this proactive network association scheme can guarantee that the queueing delay performance and the delay violation probability can be both smaller than a corresponding upper bound. That is, both low-latency and ultra-reliable communication can be guaranteed. We also conduct experiments by using real trace from taxis movement data to verify the analytical results. Our results suggest the guidelines to design the proactive network association scheme in H-CRAN.