Admission control for cellular networks with direct QoS monitoring

• Published in: Wireless networks Vol. 19; no. 2; pp. 131 - 144
• Main Authors: Kim, Dae-Hee, Zhang, Danlu, Bhushan, Naga, Pankaj, Rajesh, Oh, Seong-Jun
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.02.2013; Springer; Springer Nature B.V
• Subjects: Access control; Admission control; Algorithms; Analysis; Applied sciences; Approximation; Business metrics; Cellular; Cellular communication; Communication; Communications Engineering; Computer Communication Networks; Control algorithms; Delay; Dynamical systems; Dynamics; Electrical Engineering; Engineering; Exact sciences and technology; IT in Business; Monitoring; Networks; Quality of service; Radiocommunications; Studies; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); Wireless networks; Neyman–Pearson; OFDM; QoS guarantee; QoS metric; Admission control; Delay estimation; Performance evaluation; Fading channels; Access control; Neyman Pearson detection; Cellular radio; Downlink; Long term; Delay; Time varying system; Neyman-Pearson; Quality control; Orthogonal frequency division multiplexing; Metric; Robustness; Resource management; Service quality; Monitoring
• ISSN: 1022-0038; 1572-8196
• DOI: 10.1007/s11276-012-0455-y

This paper proposes an admission control algorithm for cellular networks based on the direct and dynamic monitoring of quality of services (QoS) performance metrics—both system delay tail and residual throughput. The main purpose of directly monitoring these QoS performance metrics is to more precisely meet the QoS requirements. The delay tail is efficiently estimated by the proposed algorithm and the total residual throughput is determined based on the total achieved throughput and total required throughput. With the estimated delay tails and measured residual throughput, the admission or rejection of a new user is determined at each base station. By doing so, the admission control algorithm improves resource utilization by guaranteeing the QoS. Additionally, the cellular system becomes more robust against the time-varying fading channel environment. The simulation results of the long term evolution downlink system show that the proposed algorithm can achieve a significant improvement in results compared to those of reference schemes. A general Neyman–Pearson-like framework is also used in evaluating the various admission control mechanisms.