22nd International Conference on Advanced Information Networking and Applications - Workshops (Aina Workshops 2008) 2008
DOI: 10.1109/waina.2008.50
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Spillover-Partitioning Call Admission Control for Revenue Optimization with QoS Guarantees for Multiple Service Classes in Mobile Wireless Networks

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Cited by 4 publications
(6 citation statements)
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“…We compare elastic threshold-based CAC with existing CAC algorithms including partitioning, threshold-based [17], and spillover [18] CAC algorithms in terms of reward maximization with QoS guarantees. To compare these algorithms, we use a simulation system and collect data to measure arrival and departure rates by using the workload estimation method in [17].…”
Section: Numeric Data and Analysismentioning
confidence: 99%
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“…We compare elastic threshold-based CAC with existing CAC algorithms including partitioning, threshold-based [17], and spillover [18] CAC algorithms in terms of reward maximization with QoS guarantees. To compare these algorithms, we use a simulation system and collect data to measure arrival and departure rates by using the workload estimation method in [17].…”
Section: Numeric Data and Analysismentioning
confidence: 99%
“…We configure the system with 1024 mobile users roaming among these cells via the popular random waypoint model [18] by which each mobile user has a random speed and a random destination during travel, and a random pause time when reaching the destination. After reaching the destination and pausing for a random time, a user continues moving to a new destination with a new speed.…”
Section: Performance Comparison In Solution Efficiencymentioning
confidence: 99%
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“…There have been CAC algorithms proposed that partition system resources and allocate distinct partitioned resources to serve distinct service classes [11][12][13][14][15][16][17][18][21][22][23]. In particular, Ogbonmwan, Li and Kazakos [11] investigated the use of thresholds for a system with two service classes.…”
Section: Introductionmentioning
confidence: 99%
“…Chen et al [15] first proposed the concept of maximizing the "reward" of the system through CAC in the context of multimedia services. They subsequently studied spillover and other CAC algorithms [17,18]. In this paper we propose a new threshold-based CAC algorithm, elastic threshold-based CAC, with the goal to maximize the system reward rate with QoS guarantees.…”
Section: Introductionmentioning
confidence: 99%