MSP-CACRR: Multidimensional Sequential Patterns Based Call Admission Control and Resource Reservation for Next-Generation Wireless Cellular Networks

In this paper, we propose and evaluate a multidimensional sequential pattern (MSP) based CAC and RR technique called MSP-CACRR technique which is designed for next generation of cellular networks. MSP-CACRR is based on an efficient multidimensional sequence mining approach called MobilePrefixSpan and is designed for the wireless cellular networks. MobilePrefixSpan is an extension version of the well-known sequence mining technique PrefixSpan and its multidimensional sequences version. The spatial, temporal, and usage information are used in MobilePrefixSpan to extract the movement patterns of mobile users. Simulation was conducted to study the effect of each of these dimensions on the network performance. Simulation results show that the proposed MSP-CACRR technique uses the mobility patterns effectively to enhance the performance of cellular networks