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On optimal call admission control in cellular networks
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Distributed call admission control in mobile/wireless networks
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Call Admission Control in Wideband CDMA Cellular Networks by Using Fuzzy Logic
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Call Admission Control for Voice/Data Integration in Broadband Wireless Networks
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Joint call and packet QoS in cellular packet networks
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Efficient structured policies for admission control in heterogeneous wireless networks
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Optimal admission control policies for heterogeneous wireless networks
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Probabilistic call admission control in wireless multiservice networks
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Joint connection admission control and routing in IEEE 802.16-based mesh networks
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Stochastic admission control for quality of service in wireless packet networks
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Dynamic handoff scheme in differentiated QoS wireless multimedia networks
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An evolutionary approach to velocity and traffic sensitive call admission control
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On the system performance vs. user movement with systematic simulation in mobile cellular networks
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Automatic call management in a cellular mobile network by fuzzy threshold logic
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Call admission control is one of the key elements in ensuring the quality of serivce in mobile wireless networks. The traditional trunk reservation policy and its numerous variants give preferential treatment to the handoff calls over new arrivals by reserving a number of radio channels exclusively for handoffs. Such schemes, however, cannot adapt to changes in traffic pattern due to the static nature. This paper introduces a novel stable dynamic call admission control mechanism (SDCA), which can maximize the radio channel utilization subject to a predetermined bound on the call dropping probability. The novelties of the proposed mechanism are: 1) it is adaptive to wide range of system parameters and traffic conditions due to its dynamic nature; 2) the control is stable under overloading traffic conditions, thus can effectively deal with sudden traffic surges; 3) the admission policy is stochastic, thus spreading new arrivals evenly over a control period, and resulting in more effective and accurate control; and 4) the model takes into account the effects of limited channel capacity and time dependence on the call dropping probability, and the influences from nearest and next-nearest neighboring cells, which greatly improve the control precision. In addition, we introduce local control algorithms based on strictly local estimations of the needed traffic parameters, without requiring the status information exchange among different cells, which makes it very appealing in actual implementation. Most of the computational complexities lie in off-line precalculations, except for the nonlinear equation of the acceptance ratio, in which a coarse-grain numerical integration is shown to be sufficient for stochastic control. Extensive simulation results show that our scheme steadily satisfies the hard constraint on call dropping probability while maintaining a high channel throughput.