ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Proportional fairness of call blocking probability
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Spot pricing of secondary spectrum access in wireless cellular networks
IEEE/ACM Transactions on Networking (TON)
Performance Analysis of Spillover-Partitioning Call Admission Control in Mobile Wireless Networks
Wireless Personal Communications: An International Journal
Optimal Traffic Sharing in GERAN
Wireless Personal Communications: An International Journal
Engineering Applications of Artificial Intelligence
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We propose and analyze call admission control algorithms integrated with pricing for revenue optimization with QoS guarantees to serve multiple service classes in mobile wireless networks. Traditional admission control algorithms make acceptance decisions for new and handoff calls to satisfy certain QoS constraints such as the dropping probability of handoff calls and the blocking probability of new calls being lower than a pre-specified threshold. We analyze a class of partitioning andthreshold-based admission control algorithms that make acceptance/rejection decisions not only to satisfy QoS requirements but also to optimize the revenue of the system by taking prices and arrival/departure information of service calls into account. We show that for a "charge-by-time" pricing scheme, there exist optimal resource allocation settings under which the partitioning and threshold-based admission control algorithms would produce the maximum revenue obtainable by the system without sacrificing QoS requirements. Further, we develop a new hybrid admission control algorithm which outperforms both partitioning and threshold-based admission control algorithms over a wide range of input parameters characterizing the operating environment and service workload conditions. Methods for utilizing of the analysis results for realtime admission control for revenue optimization with QoS guarantees are described with numerical data given to demonstrate the applicability.