Dynamic load balancing performance in cellular networks with multiple traffic types

Several multimedia applications are being introduced to cellular networks. Since the quality of service (QoS) requirements such as bandwidth for different services might be different, the analysis of conventional multimedia cellular networks has been done using multi-dimensional Markov-chains in previous works. In these analyses, it is assumed that a call request will be blocked if the number of available channels is not sufficient to support the service. However, it has been shown in previous works that the call blocking rate can be reduced significantly, if a dynamic load balancing scheme is employed. In this paper, we develop an analytical framework for the analysis of dynamic load balancing schemes with multiple traffic types. To illustrate the impact of dynamic load balancing on the performance, we study the integrated cellular and ad hoc relay (iCAR) system. Our results show that with a proper amount of load balancing capability (i.e., load balancing channels), the call blocking probability for all traffic types can be reduced significantly.