Call Admission Control (CAC) plays a crucial role in ensuring efficient resource allocation and maintaining Quality of Service (QoS) in LTE-A (Long-Term Evolution-Advanced) networks. This study presents a performance analysis of different CAC strategies, including Guard Channel, Threshold-Based, Bandwidth Reservation, Priority-Based, and Utility-Based CAC mechanisms, to evaluate their impact on blocking probability, dropping probability, throughput, and resource utilization. A mathematical modeling approach is employed to characterize the dynamic interaction between incoming call requests, available resources, and network congestion. Using queuing theory and analytical modeling, this study investigates how each CAC strategy affects network efficiency under varying traffic loads. Simulation results demonstrate that while Guard Channel CAC effectively reduces call dropping probability, it increases new call blocking, whereas Utility-Based CAC provides a balanced trade-off between resource utilization and QoS. The findings highlight the importance of selecting an optimal CAC strategythat can enhance LTE-A network performance, minimize congestion, and improve overall system reliability.

Call Admission Control (CAC), LTE-Advanced (LTE-A), Quality of Service (QoS), resource allocation, blocking probability, dropping probability, throughput, resource utilization