2010
DOI: 10.1007/s11277-010-0027-3
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Novel Radio Link Buffer Management Schemes for End-User Multi-class Traffic in High Speed Packet Access Networks

Abstract: The requirement to provide multimedia services with QoS support in mobile networks has led to standardization and deployment of high speed data access technologies such as the High Speed Downlink Packet Access (HSDPA) system. HSDPA improves downlink packet data and multimedia services support in WCDMA-based cellular networks. As is the trend in emerging wireless access technologies, HSDPA supports end-user multi-class sessions comprising parallel flows with diverse Quality of Service (QoS) requirements, such a… Show more

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Cited by 5 publications
(2 citation statements)
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References 30 publications
(41 reference statements)
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“…Thus, to generate dynamic reference which is adaptive to user behaviour drift, we choose exponentially weighted moving average (EWMA) and standard deviation (SD) as the main parts of our reference computation scheme. Previous works such as [20] where EWMA is applied to admission control and buffer management [21] have illustrated the performance and efficiency of the algorithm. In EWMA, the coefficient α represents the degree of weighting, such that a higher α discounts older observations (thresholds) faster as shown in equation 14.…”
Section: E Adaptive Reference Computationmentioning
confidence: 99%
“…Thus, to generate dynamic reference which is adaptive to user behaviour drift, we choose exponentially weighted moving average (EWMA) and standard deviation (SD) as the main parts of our reference computation scheme. Previous works such as [20] where EWMA is applied to admission control and buffer management [21] have illustrated the performance and efficiency of the algorithm. In EWMA, the coefficient α represents the degree of weighting, such that a higher α discounts older observations (thresholds) faster as shown in equation 14.…”
Section: E Adaptive Reference Computationmentioning
confidence: 99%
“…Therefore, it would result in an appropriate classification of the nature of each device and would require few operations for infiltration [19]. Therefore, analysis of traffic patterns and analysis of network identity [20] [21] are the most important measures in a broad IoT environment [22] [23].…”
Section: Introductionmentioning
confidence: 99%