We propose an integrated resource management approach that can be implemented in next generation wireless networks that support multimedia services (data, voice, video, etc.). Specifically, we combine the use of position-assisted and mobility predictive advanced bandwidth reservation with a call admission control and bandwidth reconfiguration strategy to support flexible QoS management. We also introduce a mobile agent based framework that can be used to carry out the functions of geolocation and of the proposed resource management in wireless networks. A model is also developed to obtain the optimal location information update interval in order to minimize the total cost of the system operation. The comparison of the achievable performance results of our proposed scheme with the corresponding results of a conventional system that supports advanced bandwidth reservation only, as means of supporting the QoS requirements, demonstrate that our integrated scheme can alleviate the problem of overreservation, support seamless operation throughout the wireless network, and increase significantly the system capacity.

Call admission control (CAC) plays a significant role in providing the desired quality of service (QoS) in cellular networks. We investigate the role of pricing as an additional dimension of the call admission control process in order to efficiently and effectively control the use of wireless network resources. First, we prove that, for a given wireless network, there exists a new call arrival rate which can maximize the total utility of users while maintaining the required QoS. Based on this result and observation, we propose an integrated pricing and call admission control scheme where the price is adjusted dynamically based on the current network conditions in order to alleviate the problem of congestion. Our proposed integrated approach implicitly implements a distributed user-based prioritization mechanism by providing negative incentives according to the current network conditions and therefore shaping the aggregate traffic in the network. We compare the performance of our approach in terms of congestion prevention, achievable total user utility, and obtained revenue, with the corresponding results of conventional systems where pricing is not taken into consideration in the call admission control process. These performance results verify the considerable improvement that can be achieved by the integration of pricing in the call admission control process in cellular networks.

Channel reservation techniques have been extensively used in cellular networks in order to meet the quality of service (QoS) requirements. An influence-based channel reservation and call admission control scheme is proposed to provide the QoS guarantee in a mobile wireless network. The basic idea behind the proposed scheme is that a moving user; in addition to its requirements in the current cell, exerts some influence on the channel allocation in neighboring cells. Such an influence is related to the moving pattern of this user (speed and direction), and it can be calculated statistically. We first introduce the concept of the influence curve, which provides an estimate of the requirements that the ongoing calls in current cell will impose on a neighboring cell. Based on this concept we propose a channel reservation scheme that dynamically and adaptively adjusts the number of channels that should be reserved for handoff purposes in each cell. The proposed algorithm can be carried out in a distributed way: each cell collects its current traffic condition, calculates the influence and sends the results to all its neighbors periodically. The performance evaluation of the proposed scheme is achieved via analysis and simulation.

Traditional call admission control (CAC) schemes that mainly focus on the trade off between new call blocking probability and handoff call blocking probability can not solve the problem of congestion in wireless networks. We investigate the role of pricing as an additional dimension of the call admission control process in order to efficiently and effectively control the use of wireless network resources. First we prove that for a given wireless network there exists a new call arrival rate which can maximize the total utility of users. Based on this result and observation we propose an integrated pricing and call admission control scheme, where the price is adjusted dynamically based on the current network conditions, in order to alleviate the problem of congestion. We compare the performance of our approach with the corresponding results of conventional systems where pricing is not taken into consideration in the call admission control process. These performance results verify the considerable improvement that can be achieved by the integration of pricing in the call admission control process in cellular networks.

Abstract Call admission control (CAC) plays a significant role in providing the desired Quality of Service (QoS) in wireless networks. In this paper, we present some new call admission control schemes: mobility‐based call admission schemes and new call bounding schemes, for wireless mobile networks providing services to multiple classes of mobile users (i.e. pedestrians and vehicular travelers). Since the salient feature of wireless mobile networks is the mobility, an ongoing call in one place may have potential impact on the resource usage in another place in the future, the concept of influence curve is introduced to characterize such influence that an ongoing call exerts on the adjacent cells, according to which the channel reservation can be adjusted dynamically and mobility‐based call admission control schemes can be designed. To overcome potential congestion, we also propose a new call bounding scheme which places a direct limitation on the number of new calls admitted to a cell. Four CAC schemes are proposed and analyzed via analytical modeling and simulation study. It is shown that our schemes are more effective in providing QoS than other previously known schemes. Copyright © 2001 John Wiley & Sons, Ltd.

Channel reservation is a common solution to the call dropping problem in wireless cellular networks. We propose a predictive channel reservation scheme that is based on the mobility of the users. First, the concept of an influence curve is introduced to capture the influence that an active call exerts on the adjacent cells. Then, the amount of channels needed to be reserved in the adjacent cells can be adjusted dynamically according to the influence curve of each active call in the current cell. Finally, a call admission control scheme is proposed. Simulation results show that our channel reservation scheme outperforms the fixed reservation schemes.