Dependability modeling of a heterogeneous VAX-cluster system using stochastic reward nets
Hardware and software fault tolerance in parallel computing systems
A decomposition approach for stochastic reward net models
Performance Evaluation
Sufficient Conditions for Existence of a Fixed Point in Stochastic Reward Net-Based Iterative Models
IEEE Transactions on Software Engineering - Special issue: best papers of the sixth international workshop on Petri nets and performance models (PNPM'95)
Performance Evaluation of Client-Server Systems
IEEE Transactions on Parallel and Distributed Systems
Integration of Specification for Modeling and Specification for System Design
Proceedings of the 14th International Conference on Application and Theory of Petri Nets
A method for multiple channel recovery in TDMA wireless communications systems
Computer Communications
Performance analysis of soft handoff in CDMA cellular networks
IEEE Journal on Selected Areas in Communications
Call performance for a PCS network
IEEE Journal on Selected Areas in Communications
Capacity design and performance of call admission control in cellular CDMA systems
IEEE Journal on Selected Areas in Communications
SIR-based call admission control for DS-CDMA cellular systems
IEEE Journal on Selected Areas in Communications
Multiple Solutions for Blocking Probabilities in Asymmetric Networks
Open Systems & Information Dynamics
Call admission control in multiservice high altitude platform (HAP) W-CDMA cellular systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
A method for multiple channel recovery in TDMA wireless communications systems
Computer Communications
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Call admission control (CAC) algorithms that reduce dropped calls in code-division multiple access (CDMA) cellular systems are discussed in this paper. The capacity of a CDMA system is confined by the interference of users from both inside and outside of the target cell. Earlier algorithms for CAC are based on the effective traffic load for the target cell if one call is accepted. These algorithms ignore the interference effect of the to-be-accepted call on the neighboring cells. In our algorithms, the call admission decision is based on the effective traffic loads for both the target cell and the neighboring cells. In addition, to prioritize handoff calls, we also introduce the idea of soft guard channel, which reserves some traffic load exclusively for handoff calls. Stochastic reward net (SRN) models are constructed to compare the performance of the algorithms. The numerical results show that our algorithms can significantly reduce the dropped calls with a price of increasing the blocked calls. To show the potential gain due to our algorithms, we introduce two new metrics: the increased blocking ratio for our algorithms and the increased dropping ratio for the conventional algorithms. From the numerical results, it is shown that our algorithms can reduce the dropped calls significantly, while the blocked calls are increased at a relatively small rate under both homogeneous and hot spot traffic loads.