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The Experts below are selected from a list of 87795 Experts worldwide ranked by ideXlab platform

Kota Asaka - One of the best experts on this subject based on the ideXlab platform.

Rodney J. Moore - One of the best experts on this subject based on the ideXlab platform.

Marisa Torrieri - One of the best experts on this subject based on the ideXlab platform.

Frank Effenberger - One of the best experts on this subject based on the ideXlab platform.

  • Channel bonding for Next Generation Passive Optical Network Stage 2 (NG-PON2)
    2017 International Conference on Computer Information and Telecommunication Systems (CITS), 2017
    Co-Authors: Liang Zhang, Nirwan Ansari, Frank Effenberger
    Abstract:

    Channel bonding is a key endeavor in the ITU Telecommunication Standardization Sector (ITU-T) to increase the peak rate of the Next Generation Passive Optical Network Stage 2 (NG-PON2) system. It manages several parallel wavelength channels in NG-PON2 as a single link. In this paper, we investigate the NG-PON2 layering structure and propose the sublayer changes to support channel bonding. The problem is formulated as an integer non-linear programming (INLP) problem, and is analyzed by using the water filling scheme. Two interleaving heuristic algorithms are proposed to solve this problem. Evaluation results show that full wavelength channel delivery algorithm provides the lowest jitter, and restricted wavelength channel delivery algorithm with a threshold 3 provides the lowest end-to-end delay by reducing envelope headers.

  • Enhancing Next Generation Passive Optical Network Stage 2 (NG-PON2) with Channel Bonding
    2017 International Conference on Networking Architecture and Storage (NAS), 2017
    Co-Authors: Liang Zhang, Nirwan Anwari, Frank Effenberger
    Abstract:

    Next Generation Passive Optical Network Stage 2 (NG-PON2) features multiple wavelength channels. Channel bonding combines multiple NG-PON2 wavelength connections in parallel to increase the access network throughput beyond the capacity of a single connection. It enhances the access network peak rate provisioning. Channel bonding is actively studied in the ITU Telecommunication Standardization Sector (ITU-T) as a key enhancement to NG-PON2 recommendations. In this paper, we propose a channel bonding scheme by reusing the ITU-T PON data units of XG-PON encapsulation method (XGEM). The bonding system structure is investigated, and the bonding problem is formulated by using integer linear programming (ILP) formulation. A heuristic algorithm is proposed to control data transmission in the bonded channels. Performance is evaluated via network simulations. Simulation results are further analyzed to provide guidance on packet delay control and algorithm key parameter configuration.

Carlyle Smith - One of the best experts on this subject based on the ideXlab platform.

  • Different roles for REM and Stage 2 sleep in motor learning: A proposed model
    Psychologica Belgica, 2020
    Co-Authors: Carlyle Smith, Jocelyn B. Aubrey, Kevin R. Peters
    Abstract:

    It is now clear that states of sleep are involved with the off-line memory reprocessing or consolidation of a variety of tasks. The large majority of these sleep sensitive tasks has been of the procedural type, tasks thatare usually learned implicitly. It is still unclear which states of sleep are most important. For motor skills tasks, Stage 2 sleep has sometimes been implicated, while at other times the important sleep state appears to be rapid eye movement (REM). This paper is an attempt to more clearly identify the characteristics that differentiate REM-dependent from Stage 2-dependent motor tasks and to examine the nature of the brain state differences between the two Stages at the neurophysiological and neurochemical levels. We have developed a model to explain how motor skills tasks involving REM and Stage 2 sleep might be dependent on two separate, but overlapping, neural systems.

  • learning dependent changes in sleep spindles and Stage 2 sleep
    Journal of Sleep Research, 2006
    Co-Authors: Stuart M Fogel, Carlyle Smith
    Abstract:

    SUMMARY It has become increasingly clear that sleep is necessary for efficient memoryconsolidation. Recently, it has been found that Stage 2 sleep disruption impairsprocedural memory performance, and that memory performance is correlated with theduration of Stage 2 sleep; but the mechanisms involved in synaptic plasticity forprocedural memory during sleep have not been identified. The present study examinedthe learning-dependent changes in sleep, including Stage 2 sleep spindles. Following anintense period of simple motor procedural learning, the duration of Stage 2 sleep andspindle density increased. There were no changes observed in the duration of any otherStage of sleep or in the density of rapid eye movements. These findings support thehypothesis that sleep spindles are involved in the off-line reprocessing of simple motorprocedural memory during Stage 2 sleep.keywords memory, sleep, spindles, Stage 2, synaptic plasticity INTRODUCTIONThe relationship between sleep states and memory processeshas recently become of great interest (for review see: Maquetet al., 2003). Past research has focused mainly on memory fora previously learned task following sleep deprivation or theeffects of an intense period of learning on subsequent sleepchanges (for reviews see: Smith, 1995, 2001). There is evidenceto suggest that separate sleep states are differentially involvedin the post-learning reprocessing of different categories ofmemory. Rapid eye movement (REM) sleep has been hypo-thesized to be involved with the reprocessing of proceduraltasks that require a new cognitive strategy, while simple motortasks involve Stage 2 sleep (see: Smith, 1995, 2001; Smith et al.,2004a for reviews). Improved performance on a complexmotor task (mirror-trace) has been found to be associated withthe larger amounts of REM sleep found in the last half of thenight (Plihal and Born, 1997). Smith et al. (2004b) havereported increases in REM sleep densities in the post-trainingsleep of subjects that learned the mirror trace task.On the other hand, utilizing selective sleep deprivation,Smith and MacNeill (1994) reported that memory for a simplemotor task, the rotary pursuit task, was vulnerable to Stage 2sleep loss, but not REM sleep loss. By selectively deprivingindividuals of either REM sleep or by disrupting Stage 2 sleep,Aubrey et al. (1999) reported that REM sleep deprivationimpaired performance on the mirror tracing task, but not onthe simple tracing task. Conversely, Stage 2 sleep disruptionimpaired performance on the simple tracing task but not themirror tracing task. Walker et al. (2002) have reported thatacquisition of a simple finger tapping sequence was improvedby a night of sleep and performance was positively correlatedwith amount of Stage 2 in the last quarter of the night. It hasbeen proposed that brain mechanisms active during REMsleep are primarily concerned with off-line reprocessing ofmore complex procedural tasks that require the developmentof new cognitive strategies, whereas mechanisms active duringStage 2 sleep are dedicated to tasks for which the individualhas had some previous personal experience (Smith et al.,2004a).One of the most prominent features of Stage 2 sleep is thesleep spindle (Carskadon and Dement, 2000). Some research-ers have speculated that spindles may be important forsynaptic plasticity (Steriade, 1999), and until recently thishypothesis remained to be tested directly. One recent study hasdemonstrated that stimulation frequencies designed to mimicthe sleep spindle induced long-term potentiation (LTP)(Rosanova and Ulrich, 2005). While this study providesprovocative evidence to directly link sleep spindles to LTP,the stimulation frequency used in this experiment ( 10 Hz)was outside of the conventionally defined ( 12–16 Hz) spindlefrequency range. The focus of the present study was to