The Experts below are selected from a list of 3183 Experts worldwide ranked by ideXlab platform

Ansar-ul-haque Yasar - One of the best experts on this subject based on the ideXlab platform.

  • End-to-End QoS "Smart Queue" Management Algorithms and Traffic Prioritization Mechanisms for Narrow-Band Internet of Things Services in 4G/5G Networks.
    Sensors, 2020
    Co-Authors: Mykola Beshley, Halyna Beshley, Elhadi M. Shakshuki, Natalia Kryvinska, Marian Seliuchenko, Ansar-ul-haque Yasar
    Abstract:

    This paper proposes a modified architecture of the Long-Term Evolution (LTE) mobile network to provide services for the Internet of Things (IoT). This is achieved by allocating a narrow bandwidth and transferring the scheduling functions from the eNodeB base station to an NB-IoT controller. A method for allocating uplink and downlink resources of the LTE/NB-IoT hybrid technology is applied to ensure the Quality of Service (QoS) from end-to-end. This method considers scheduling Traffic/resources on the NB-IoT controller, which allows eNodeB planning to remain unchanged. This paper also proposes a Prioritization approach within the IoT Traffic to provide End-to-End (E2E) QoS in the integrated LTE/NB-IoT network. Further, we develop “smart queue” management algorithms for the IoT Traffic Prioritization. To demonstrate the feasibility of our approach, we performed a number of experiments using simulations. We concluded that our proposed approach ensures high end-to-end QoS of the real-time Traffic by reducing the average end-to-end transmission delay.

Mykola Beshley - One of the best experts on this subject based on the ideXlab platform.

  • End-to-End QoS "Smart Queue" Management Algorithms and Traffic Prioritization Mechanisms for Narrow-Band Internet of Things Services in 4G/5G Networks.
    Sensors, 2020
    Co-Authors: Mykola Beshley, Halyna Beshley, Elhadi M. Shakshuki, Natalia Kryvinska, Marian Seliuchenko, Ansar-ul-haque Yasar
    Abstract:

    This paper proposes a modified architecture of the Long-Term Evolution (LTE) mobile network to provide services for the Internet of Things (IoT). This is achieved by allocating a narrow bandwidth and transferring the scheduling functions from the eNodeB base station to an NB-IoT controller. A method for allocating uplink and downlink resources of the LTE/NB-IoT hybrid technology is applied to ensure the Quality of Service (QoS) from end-to-end. This method considers scheduling Traffic/resources on the NB-IoT controller, which allows eNodeB planning to remain unchanged. This paper also proposes a Prioritization approach within the IoT Traffic to provide End-to-End (E2E) QoS in the integrated LTE/NB-IoT network. Further, we develop “smart queue” management algorithms for the IoT Traffic Prioritization. To demonstrate the feasibility of our approach, we performed a number of experiments using simulations. We concluded that our proposed approach ensures high end-to-end QoS of the real-time Traffic by reducing the average end-to-end transmission delay.

Halim Yanikomeroglu - One of the best experts on this subject based on the ideXlab platform.

  • utility based adaptive radio resource allocation in ofdm wireless networks with Traffic Prioritization
    IEEE Transactions on Wireless Communications, 2009
    Co-Authors: M Katoozian, Keivan Navaie, Halim Yanikomeroglu
    Abstract:

    In this letter, a joint transmit scheduling and dynamic sub-carrier and power allocation method is proposed to exploit multi-user diversity in downlink packet transmission in an OFDM wireless network with mixed real-time and non-real-time Traffic patterns. To balance efficiency and fairness and to satisfy the QoS requirements of real-time users, we utilize a utility-based framework and propose a polynomial-time heuristic algorithm to solve the formulated optimization problem. The distinguishing feature of the proposed method is that it gives in one shot, the transmission scheduling, the sub-carriers assigned to each user, and the power allocated to each sub-carrier, based on a fair and efficient framework while satisfying the delay requirements of real-time users.

Sofiane Imadali - One of the best experts on this subject based on the ideXlab platform.

  • Demo Abstract: 5G End-to-End Open Source Network with Traffic Prioritization Mechanism
    IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2019
    Co-Authors: Mohamad Yassin, William Diego, Sofiane Imadali
    Abstract:

    In this demonstration, we make use of the recent advances in network softwarization to introduce an End-to-End software-based mobile network with Traffic Prioritization mechanism. We focus on the Radio Access Network (RAN), where our Prioritization algorithm is implemented. The proposed Traffic Prioritization mechanism guarantees higher throughput and lower delay for time-sensitive and critical services such as connected cars. It is also an enabler for RAN Slicing that allows for End-to-End network slicing. Our network is deployed on commodity hardware, and we prioritize the downlink flow of a connected car over downlink video streaming Traffic.

Imadali Sofiane - One of the best experts on this subject based on the ideXlab platform.

  • Demo Abstract: 5G End-to-End Open Source Network with Traffic Prioritization Mechanism
    HAL CCSD, 2019
    Co-Authors: Yassin Mohamad, Diego William, Imadali Sofiane
    Abstract:

    International audienceIn this demonstration, we make use of the recent advances in network softwarization to introduce an End-to-End software-based mobile network with Traffic Prioritization mechanism. We focus on the Radio Access Network (RAN), where our Prioritization algorithm is implemented. The proposed Traffic Prioritization mechanism guarantees higher throughput and lower delay for time-sensitive and critical services such as connected cars. It is also an enabler for RAN Slicing that allows for End-to-End network slicing. Our network is deployed on commodity hardware, and we prioritize the downlink flow of a connected car over downlink video streaming Traffic