Predictive distance-based mobility management for multidimensional PCS networks
IEEE/ACM Transactions on Networking (TON)
Wireless Communications
A Mobility Prediction Architecture Based on Contextual Knowledge and Spatial Conceptual Maps
IEEE Transactions on Mobile Computing
A predictive bandwidth reservation scheme using mobile positioning and road topology information
IEEE/ACM Transactions on Networking (TON)
Integrated Downlink Resource Management for Multiservice WiMAX Networks
IEEE Transactions on Mobile Computing
Performance evaluation of admission control and adaptive modulation in OFDMA WiMax systems
IEEE/ACM Transactions on Networking (TON)
WiMAX: Standards and Security
Scheduling in IEEE 802.16e Mobile WiMAX networks: key issues and a survey
IEEE Journal on Selected Areas in Communications - Special issue on broadband access networks: Architectures and protocols
Call admission control in wireless networks: a comprehensive survey
IEEE Communications Surveys & Tutorials
IEEE Wireless Communications
Cross-layer optimization for OFDM wireless networks-part II: algorithm development
IEEE Transactions on Wireless Communications
User mobility modeling and characterization of mobility patterns
IEEE Journal on Selected Areas in Communications
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Due to the implementation of an Adaptive Modulation-Coding (AMC) mechanism in the 802.16e physical layer, each connection's bandwidth requirements cannot be statically computed, but they derive as a function of the terminals' instantaneous Signal-to-Noise Ratio (SNR). Therefore, the Connection Admission Control (CAC) mechanism fails to establish an efficient policy that would optimally exploit the system's resources. In this respect, the present paper formulates initially an adequate method for statistically calculating the average capacity of a Mobile-WiMAX system, according to the distribution of the several attenuation factors that affect the signal along the propagation path. In parallel, based on the processing of the terminal's SNR samples, a sophisticated algorithm for filtering out any misleading measurements is developed. This second method aims at predicting the upcoming Modulation-Coding state of every connection, so as to acquire a short-term view of its spectrum demands. Finally, all the above info collected from both the estimation methods is utilized by the CAC procedure in order to perform an as accurate as possible computation of the resource availability. As a result, this hybrid approach succeeds in maximizing the network revenue through significantly increasing the number of concurrently serviced connections while guaranteeing their Quality of Service (QoS) standards.