Users’ classification-based call admission control with adaptive resource reservation for LTE-A networks

• Main Author: Salman Ali AlQahtani
• Format: Article
• Language: English
• Published: Elsevier 2017-01-01
• Series: Journal of King Saud University: Computer and Information Sciences
• Subjects: Adaptive resource allocation; Admission control; Delay aware; LTE-Advanced user categorization
• Online Access: http://www.sciencedirect.com/science/article/pii/S1319157816300052

The Long Term Evolution (LTE) Advanced (LTE-A) has been put in place to support diverse IP-based traffic, such as voice, data and multimedia. From the network operator’s point of view, differentiation of users is becoming an important issue because quality of service (QoS) and privilege levels vary among users and their traffic classes. The main objective of the network operators is to maximize the revenue earned by having maximum network utilization, at the same time guaranteeing the agreed-upon QoS to the users and their traffic classes. An important aspect for achieving these objectives is to design an effective CAC scheme with users’ varying privileges and QoS requirements. In this paper, we introduce the user’s privileges and traffic maximum delay tolerance as additional dimensions in the call admission control processes to efficiently control the utilization of LTE-A network resources. Based on this idea, we propose an efficient call admission control scheme named “delay aware and user categorizing-based CAC with adaptive resource reservation (DA–UC-ARR)”, where the user priority is adjusted dynamically based on the current network conditions and the users’ categorizations and traffic delay tolerances, to increase the network’s resource utilization and at the same time to maximize the operators’ revenue. In this proposed scheme, the users are classified into Golden users and Silver users, and the type of service per user is classified as real time (RT) and non-real time (NRT) services. We compare the performance of the proposed scheme with the corresponding results of previous schemes, referred to as the adaptive resource reservation-based call admission control (ARR-CAC) (Andrews et al., 2010; AlQahtani, 2014), where user categorization and delay were not taken into consideration in the call admission control process. Simulation results indicate the superiority of the proposed scheme because it is able to achieve a better balance between system utilization, users’ privileges provided by network operators and QoS provisioning compared to the ARR-CAC scheme.