Performance analysis of multi-service cellular networks with mobile users

Wireless cellular networks are fast evolving into multi-service networks supporting narrow-band, as well as, wide-band services. The capability to optimally partition the available radio frequency spectrum among competing services is key to the economical viability of these networks. An analytical model is developed, herein, to measure the performance of various bandwidth access control policies, in terms of call level QoS (quality of service) parameters such as call blocking probability, call dropping probability and throughput, in TDMA/FDMA (time/frequency division multiple access) based multi-service cellular networks. The model also takes into consideration the impact of mobility on the QoS. Such models are essential for facilitating an effective optimization of bandwidth allocations in a cellular network supporting multiple services. Furthermore, requirements such as, adaptive updating of bandwidth allocations to track dynamical load variations, and preferential treatment for some services at the expense of others, due to revenue considerations, suggest applicability of priority based bandwidth access control policies. Some priority based bandwidth access control policies are, therefore, also proposed in this paper, and compared with conventional policies such as CS (complete sharing), CP (complete partitioning) and PS (partial sharing). Simulation results are presented that reflect upon the effectiveness of priority based policies. The main contribution of this work is the precise formulations developed to predict call level QoS parameters in a multi-service cellular network with mobile users