Adaptive Resource Management in Multi-Service Mobile Wireless Cellular Networks

This paper proposes a predictive controller based on adaptive resource management techniques for multi-service wireless cellular networks to keep the handoff failure rate (HFR) below a target value regardless of the traffic dynamics and bandwidth requirements of the service types. In this paper, we propose a neural nod feedback algorithm to control the reserved resource. Simulations results indicate that this algorithm can maintain target HFR for any service type even when the traffic load rapidly fluctuates and system parameters vary over a wide range. This algorithm has superior performance in terms of total carried traffic.