Asian Journal of Advanced Research and Reports

The rapid growth in demand for real-time (RT) communication services over wireless networks has intensified the challenge of limited radio resources, particularly in Long Term Evolution systems standardized by the 3rd Generation Partnership Project (3GPP). This scarcity often leads to increased call blocking, forced termination, and handoff failures, thereby degrading Quality of Service (QoS) for delay-sensitive applications. While Adaptive Call Admission Control (ACAC) schemes have been widely adopted to dynamically manage network resources, they still exhibit limitations in achieving optimal bandwidth utilization under varying traffic conditions. This study presents the modelling and performance evaluation of a proposed Bandwidth Maximization Call Admission Control (BWM-CAC) scheme in comparison with the conventional ACAC scheme for real-time applications in LTE networks. The analysis was carried out using MATLAB R2020a, supported by LTE network data logs and simulation scenarios. Performance evaluation was based on key QoS metrics, including bandwidth utilization, blocking probability, forced call termination, and handoff call dropping probability (HCDP). Simulation results reveal that the proposed BWM-CAC scheme significantly outperforms the ACAC scheme across all evaluated parameters. Both schemes achieve 0% blocking probability; however, BWM-CAC demonstrates superior bandwidth utilization of 76% compared to 68% for ACAC. In terms of reliability, BWM-CAC reduces forced call termination to 2%, whereas ACAC records 6%. Additionally, the handoff call dropping probability is minimized to 0.04% under BWM-CAC, compared to 0.15% observed in ACAC. These results indicate that the proposed BWM-CAC scheme provides more efficient resource allocation and improved QoS performance for real-time applications. Therefore, it is recommended as a more effective CAC strategy for enhancing system performance in LTE networks under dynamic traffic conditions.