Abstract
The decision of call admission becomes an important work owing to the scarce wireless spectrum for wireless cellular networks. If there exists adequate information for call admission control (CAC) schemes, the terms of quality of service (QoS), such as call dropping probability (CDP), call blocking probability (CBP), and system utilization, will be kept in a certain acceptable level. Therefore, a prediction system which can predict most information, such as system utilization and CDP, in advance with a novel data mining technique and a distributed CAC scheme is presented in this paper. Based on the prediction results and the bandwidth consumption of adjacent cells, the proposed CAC scheme is able to decide to admit a new call. The throttle flag that can indicate the usage of current cell is proposed to prevent the newly admitted call request from being blocked in adjacent cells if handoff is needed. The simulation results show that the proposed CAC scheme can maintain the CDP below a predefined threshold, and the CBP is also lower than the cluster prediction and traditional guard channel policies.
Highlights
With the evolution of mobile communication, the types of services have been evolved from voice service to multimedia [1, 2]
Both system utilization and call dropping probability (CDP) are the aggregated history of mobiles for a given cell, and they will be predicted by the prediction module to provide the call admission information for the call admission control (CAC) module
In the light of the simulation results that are illustrated from Figures 5 to 12, the proposed CAC scheme can satisfy the predefined quality of service (QoS) requirement which maintains the CDP below a predefined threshold and keeps the call blocking probability (CBP) as low as possible even though the system utilization is under heavy load
Summary
With the evolution of mobile communication, the types of services have been evolved from voice service to multimedia [1, 2]. As a large number of bandwidths are required for multimedia services for wireless cellular networks, the most important issue is to support QoS for subscribers. There had been some schemes proposed for bandwidth reservation to reduce the CDP, such as [13], the seldom literature has been developed to guarantee the QoS and to satisfy lower CBP at the same time. The proposed agent can perform the prediction and CAC works for each cell to avoid extreme computations focused on the MSC, and the global statistics can be gathered via fixed high-speed links in a periodic time. The prediction module that is based on time series prediction can provide the appropriate information for CAC algorithm to make the decision of call admission.
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