The Experts below are selected from a list of 1404 Experts worldwide ranked by ideXlab platform

Gerhard Kramer - One of the best experts on this subject based on the ideXlab platform.

  • the capacity region of a collection of multicast Sessions in an undirected ring network
    International Conference on Parallel Processing, 2007
    Co-Authors: S M S Yazdi, Serap A Savari, K Carlson, Gerhard Kramer
    Abstract:

    A finite set of inequalities is given that characterizes the routing rate region for an undirected ring network in which the source and destination vertices of each Communication Session form a string of adjacent vertices. The result uses an extension of the Japanese theorem for Communication problems with multiple multicast Sessions and an interpretation of the extension in terms of the collection of minimum length routing trees for the various multicast Sessions. It is further demonstrated that routing is rate optimal in this case using new extensions to progressive d-separating edge set bounds.

  • ICPP Workshops - The Capacity Region of a Collection of Multicast Sessions in an Undirected Ring Network
    2007 International Conference on Parallel Processing Workshops (ICPPW 2007), 2007
    Co-Authors: S M S Yazdi, Serap A Savari, K Carlson, Gerhard Kramer
    Abstract:

    A finite set of inequalities is given that characterizes the routing rate region for an undirected ring network in which the source and destination vertices of each Communication Session form a string of adjacent vertices. The result uses an extension of the Japanese theorem for Communication problems with multiple multicast Sessions and an interpretation of the extension in terms of the collection of minimum length routing trees for the various multicast Sessions. It is further demonstrated that routing is rate optimal in this case using new extensions to progressive d-separating edge set bounds.

Senem Velipasalar - One of the best experts on this subject based on the ideXlab platform.

  • Power Control for Wireless VBR Video Streaming: From Optimization to Reinforcement Learning
    arXiv: Information Theory, 2019
    Co-Authors: M. Cenk Gursoy, Senem Velipasalar
    Abstract:

    In this paper, we investigate the problem of power control for streaming variable bit rate (VBR) videos over wireless links. A system model involving a transmitter (e.g., a base station) that sends VBR video data to a receiver (e.g., a mobile user) equipped with a playout buffer is adopted, as used in dynamic adaptive streaming video applications. In this setting, we analyze power control policies considering the following two objectives: 1) the minimization of the transmit power consumption, and 2) the minimization of the transmission completion time of the Communication Session. In order to play the video without interruptions, the power control policy should also satisfy the requirement that the VBR video data is delivered to the mobile user without causing playout buffer underflow or overflows. A directional water-filling algorithm, which provides a simple and concise interpretation of the necessary optimality conditions, is identified as the optimal offline policy. Following this, two online policies are proposed for power control based on channel side information (CSI) prediction within a short time window. Dynamic programming is employed to implement the optimal offline and the initial online power control policies that minimize the transmit power consumption in the Communication Session. Subsequently, reinforcement learning (RL) based approach is employed for the second online power control policy. Via simulation results, we show that the optimal offline power control policy that minimizes the overall power consumption leads to substantial energy savings compared to the strategy of minimizing the time duration of video streaming. We also demonstrate that the RL algorithm performs better than the dynamic programming based online grouped water-filling (GWF) strategy unless the channel is highly correlated.

  • Power Control for Wireless VBR Video Streaming: From Optimization to Reinforcement Learning
    IEEE Transactions on Communications, 2019
    Co-Authors: M. Cenk Gursoy, Senem Velipasalar
    Abstract:

    In this paper, we investigate the problem of power control for streaming variable bit rate (VBR) videos over wireless links. A system model involving a transmitter (e.g., a base station) that sends VBR video data to a receiver (e.g., a mobile user) equipped with a playout buffer is adopted, as used in dynamic adaptive streaming video applications. In this setting, we analyze power control policies considering the following two objectives: 1) the minimization of the transmit power consumption and 2) the minimization of the transmission completion time of the Communication Session. In order to play the video without interruptions, the power control policy should also satisfy the requirement in which the VBR video data is delivered to the mobile user without causing playout buffer underflow or overflows. A directional water-filling algorithm, which provides a simple and concise interpretation of the necessary optimality conditions, is identified as the optimal offline policy. Following this, two online policies are proposed for power control based on channel side information (CSI) prediction within a short time window. Dynamic programming is employed to implement the optimal offline and the initial online power control policies that minimize the transmit power consumption in the Communication Session. Subsequently, reinforcement learning (RL)-based approach is employed for the second online power control policy. Through the simulation results, we show that the optimal offline power control policy that minimizes the overall power consumption leads to substantial energy savings compared with the strategy of minimizing the time duration of video streaming. We also demonstrate that the RL algorithm performs better than the dynamic programming-based online grouped water-filling (GWF) strategy unless the channel is highly correlated.

S M S Yazdi - One of the best experts on this subject based on the ideXlab platform.

  • the capacity region of a collection of multicast Sessions in an undirected ring network
    International Conference on Parallel Processing, 2007
    Co-Authors: S M S Yazdi, Serap A Savari, K Carlson, Gerhard Kramer
    Abstract:

    A finite set of inequalities is given that characterizes the routing rate region for an undirected ring network in which the source and destination vertices of each Communication Session form a string of adjacent vertices. The result uses an extension of the Japanese theorem for Communication problems with multiple multicast Sessions and an interpretation of the extension in terms of the collection of minimum length routing trees for the various multicast Sessions. It is further demonstrated that routing is rate optimal in this case using new extensions to progressive d-separating edge set bounds.

  • ICPP Workshops - The Capacity Region of a Collection of Multicast Sessions in an Undirected Ring Network
    2007 International Conference on Parallel Processing Workshops (ICPPW 2007), 2007
    Co-Authors: S M S Yazdi, Serap A Savari, K Carlson, Gerhard Kramer
    Abstract:

    A finite set of inequalities is given that characterizes the routing rate region for an undirected ring network in which the source and destination vertices of each Communication Session form a string of adjacent vertices. The result uses an extension of the Japanese theorem for Communication problems with multiple multicast Sessions and an interpretation of the extension in terms of the collection of minimum length routing trees for the various multicast Sessions. It is further demonstrated that routing is rate optimal in this case using new extensions to progressive d-separating edge set bounds.

M. Cenk Gursoy - One of the best experts on this subject based on the ideXlab platform.

  • Power Control for Wireless VBR Video Streaming: From Optimization to Reinforcement Learning
    arXiv: Information Theory, 2019
    Co-Authors: M. Cenk Gursoy, Senem Velipasalar
    Abstract:

    In this paper, we investigate the problem of power control for streaming variable bit rate (VBR) videos over wireless links. A system model involving a transmitter (e.g., a base station) that sends VBR video data to a receiver (e.g., a mobile user) equipped with a playout buffer is adopted, as used in dynamic adaptive streaming video applications. In this setting, we analyze power control policies considering the following two objectives: 1) the minimization of the transmit power consumption, and 2) the minimization of the transmission completion time of the Communication Session. In order to play the video without interruptions, the power control policy should also satisfy the requirement that the VBR video data is delivered to the mobile user without causing playout buffer underflow or overflows. A directional water-filling algorithm, which provides a simple and concise interpretation of the necessary optimality conditions, is identified as the optimal offline policy. Following this, two online policies are proposed for power control based on channel side information (CSI) prediction within a short time window. Dynamic programming is employed to implement the optimal offline and the initial online power control policies that minimize the transmit power consumption in the Communication Session. Subsequently, reinforcement learning (RL) based approach is employed for the second online power control policy. Via simulation results, we show that the optimal offline power control policy that minimizes the overall power consumption leads to substantial energy savings compared to the strategy of minimizing the time duration of video streaming. We also demonstrate that the RL algorithm performs better than the dynamic programming based online grouped water-filling (GWF) strategy unless the channel is highly correlated.

  • Power Control for Wireless VBR Video Streaming: From Optimization to Reinforcement Learning
    IEEE Transactions on Communications, 2019
    Co-Authors: M. Cenk Gursoy, Senem Velipasalar
    Abstract:

    In this paper, we investigate the problem of power control for streaming variable bit rate (VBR) videos over wireless links. A system model involving a transmitter (e.g., a base station) that sends VBR video data to a receiver (e.g., a mobile user) equipped with a playout buffer is adopted, as used in dynamic adaptive streaming video applications. In this setting, we analyze power control policies considering the following two objectives: 1) the minimization of the transmit power consumption and 2) the minimization of the transmission completion time of the Communication Session. In order to play the video without interruptions, the power control policy should also satisfy the requirement in which the VBR video data is delivered to the mobile user without causing playout buffer underflow or overflows. A directional water-filling algorithm, which provides a simple and concise interpretation of the necessary optimality conditions, is identified as the optimal offline policy. Following this, two online policies are proposed for power control based on channel side information (CSI) prediction within a short time window. Dynamic programming is employed to implement the optimal offline and the initial online power control policies that minimize the transmit power consumption in the Communication Session. Subsequently, reinforcement learning (RL)-based approach is employed for the second online power control policy. Through the simulation results, we show that the optimal offline power control policy that minimizes the overall power consumption leads to substantial energy savings compared with the strategy of minimizing the time duration of video streaming. We also demonstrate that the RL algorithm performs better than the dynamic programming-based online grouped water-filling (GWF) strategy unless the channel is highly correlated.

Yi-bing Lin - One of the best experts on this subject based on the ideXlab platform.

  • Design and implementation of UMTS Session management in the user equipment
    Wireless Communications and Mobile Computing, 2007
    Co-Authors: Chai Hien Gan, Yi-bing Lin, Shi Hi Chen
    Abstract:

    In universal mobile teleCommunications system (UMTS), Session management (SM) maintains a Communication Session between a user equipment (UE) and the core network. 3GPP TS 24.008 specifies the SM functions and the Communication protocols between the UE and the core network. However, the interaction between the SM and other entities in the UE are not specified in detail. This paper designs and implements the SM software. We use a finite state machine (FSM) to model the SM functions. Based on the FSM and the primitives, we describe how to set up the development steps to implement the SM at the UE. Copyright © 2006 John Wiley & Sons, Ltd.

  • Modeling frame synchronization for UMTS high-speed downlink packet access
    IEEE Transactions on Vehicular Technology, 2003
    Co-Authors: Phone Lin, Yi-bing Lin, Imrich Chlamtac
    Abstract:

    Third Generation Partnership Project (3GPP) specification TR 25.950 proposed high-speed downlink packet access for the Universal Mobile TeleCommunication System (UMTS). In this mechanism, an active set of cells is defined for every user equipment (UE) Communication Session. The cell with the best wireless link quality (called the serving cell) in the active set is selected for Communication with the UE. When the wireless link quality of the old serving cell degrades below some threshold, a new serving cell in the active set is selected to continue the Communication Session. Our previous work proposed a high-speed downlink packet access (HSDPA) overflow control scheme with four frame synchronization algorithms to switch the serving cell, and formally proved the correctness of the scheme. We propose an analytic model to investigate the performance of these frame synchronization algorithms, and show how the user movement patterns affect the control message delivery costs of these algorithms.

  • ICOIN - A Mobility Management Strategy for UMTS
    Information Networking, 2003
    Co-Authors: Shun-ren Yang, Yi-bing Lin
    Abstract:

    Universal Mobile TeleCommunications System (UMTS) utilizes a three-level location management strategy to reduce the net costs of location update and paging in the packet-switched service domain. Within a Communication Session, a mobile station (MS) is tracked at the cell level during packet transmission. In the idle period of an ongoing Session, the MS is tracked at the UTRAN registration area (URA) level to avoid frequent cell updates while still keeping the radio connection. If the MS is not in any Communication Session, the MS is tracked at the routing area (RA) level. The inactivity counter mechanism was proposed in 3GPP 25.331 to determine when to switch between the three location tracking modes. In this mechanism, two inactivity counters are used to count the numbers of cell updates and URA updates in an idle period between two packet transmissions. If the number of cell updates reaches a threshold K 1, the MS is switched from the cell tracking to the URA tracking. After that, if the number of URA updates reaches a threshold K 2, the MS is tracked at the RA level. This paper proposes simulation model to investigate the performance of the inactivity counter mechanism. Our study provides guidelines for K 1 and K 2 selection to achieve lower net costs of location update and paging.

  • Performance evaluation of location management in UMTS
    IEEE Transactions on Vehicular Technology, 2003
    Co-Authors: Shun-ren Yang, Yi-bing Lin
    Abstract:

    The universal mobile teleCommunications system utilizes a three-level location-management strategy to reduce the net costs of location update and paging in the packet-switched service domain. Within a Communication Session, a mobile station (MS) is tracked at the cell level during packet transmission. In the idle period of an ongoing Session, the MS is tracked at the UTRAN registration area (URA) level to avoid frequent cell updates while still keeping the radio connection. If the MS is not in any Communication Session, the MS is tracked at the routing-area (RA) level. The inactivity counter mechanism was proposed in 3GPP 25.331 to determine when to switch between the three location-tracking modes. In this mechanism, two inactivity counters are used to count the numbers of cell and URA updates in an idle period between two packet transmissions. If the number of cell updates reaches a threshold K/sub 1/, the MS is switched from cell tracking to URA tracking. After that, if the number of URA updates reaches a threshold K/sub 2/, the MS is tracked at the RA level. The paper proposes analytical and simulation models to investigate the performance of the inactivity counter mechanism. Our study provides guidelines for K/sub 1/ and K/sub 2/ selection to achieve lower net costs of location update and paging.