Stochastic modelling and analysis: a computational approach
Stochastic modelling and analysis: a computational approach
SIAM Journal on Scientific and Statistical Computing
Call admission control in mobile cellular networks: a comprehensive survey: Research Articles
Wireless Communications & Mobile Computing
IEEE Transactions on Mobile Computing
Dynamic Programming and Optimal Control, Vol. II
Dynamic Programming and Optimal Control, Vol. II
IEEE Transactions on Mobile Computing
Monotonicity in Markov Reward and Decision Chains: Theory and Applications
Foundations and Trends® in Stochastic Systems
EURASIP Journal on Wireless Communications and Networking - Special issue on fairness in radio resource management for wireless networks
An optimization framework for heterogeneous access management
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Multiservice allocation for multiaccess wireless systems
IEEE Transactions on Wireless Communications
On the Optimum Traffic Allocation in Heterogeneous CDMA/TDMA Networks
IEEE Transactions on Wireless Communications
Wireless Personal Communications: An International Journal
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This paper studies the problem of admission control and air interface (AI) selection in heterogeneous network environments. The statistics of random user arrivals, channel conditions and service durations are considered for the optimization of heterogeneous access management strategies with respect to minimizing the expected mean cost for blocking events. Based on state aggregation in a semi-Markov decision process formulation, an efficient approximation algorithm using state aggregation for policy optimization is proposed. Though this solution is suboptimal, it still offers considerable performance gains in comparison to simpler heuristic strategies, which is demonstrated by simulations in a heterogeneous GSM-EDGE (Global System for Mobile Communications Enhanced Data Rate)/UMTS (Universal Mobile Telecommunications System) scenario. Furthermore, structural properties of optimal user assignment policies are studied, proving certain monotonicity properties for a specific type of systems.