Adaptive guard channel allocation and blocking probability estimation in PCS networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Mobility Patterns in Microcellular Wireless Networks
IEEE Transactions on Mobile Computing
Call Admission Control for Voice/Data Integration in Broadband Wireless Networks
IEEE Transactions on Mobile Computing
Connection admission control in UMTS radio access networks
Computer Communications
Call admission control for QoS provisioning in 4G wireless networks: issues and approaches
IEEE Network: The Magazine of Global Internetworking
Joint call admission control algorithms: Requirements, approaches, and design considerations
Computer Communications
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Next generation mobile networks (NGMN) are expected to integrate several heterogenous wireless technologies in order to provide high system capacity and cost effective global service coverage. In this paper we propose an efficient predictive admission control policy for heterogenous wireless bandwidth allocation. We predict well chosen traffic parameters using neural networks and we estimate blocking probabilities using generally distributed traffic models. Furthermore, we use a Tabu search algorithm to find the optimal guard band for a multi-layer heterogenous NGMN. The objective of our multi-layer predictive admission control policy (MLPAC) is to minimize global blocking probability while guaranteeing a hard constraint on handoff dropping probability. It extends the overflow scheme used in two-layer hierarchical cellular systems (HCS) to multiple heterogenous access technologies in NGMN. Presented results show that our MLPAC approach is more efficient in allocating the scarce heterogenous wireless bandwidth to a higher number of accepted connections while maintaining minimal guard bands for horizontal and vertical handoff protection.