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Admission control for cellular networks with direct QoS monitoring

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Abstract

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.

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Acknowledgments

This research was supported by the MKE (The Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the NIPA (National IT Industry Promotion Agency (NIPA-2012-(H0301-12-2003)).

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Authors and Affiliations

  1. Division of Computer and Communication Engineering, College of Information and Communication, Korea University, Seoul, 136-713, Korea

    Dae-Hee Kim & Seong-Jun Oh

  2. Qualcomm Incorporated, 5775 Morehouse Drive, San Diego, CA, 92121, USA

    Danlu Zhang, Naga Bhushan & Rajesh Pankaj

Authors
  1. Dae-Hee Kim
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  2. Danlu Zhang
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  3. Naga Bhushan
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  4. Rajesh Pankaj
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  5. Seong-Jun Oh
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Correspondence to Seong-Jun Oh.

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Kim, DH., Zhang, D., Bhushan, N. et al. Admission control for cellular networks with direct QoS monitoring. Wireless Netw 19, 131–144 (2013). https://doi.org/10.1007/s11276-012-0455-y

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  • DOI: https://doi.org/10.1007/s11276-012-0455-y

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