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Performance Metrics in OFDM Wireless Networks Under the Bandwidth Reservation Policy

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Image Processing and Communications (IP&C 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1062))

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Abstract

In this paper we study the downlink of an Orthogonal Frequency Division Multiplexing (OFDM) based cell that accommodates calls from different service-classes with different resource requirements. We assume that calls arrive in the system according to a Poisson process while the call admission is based on the Bandwidth Reservation (BR) policy. The BR policy is used for the reservation of subcarriers in favor of calls of high subcarrier requirements. To determine the most important performance metrics, i.e., Call Blocking Probabilities (CBP) and resource utilization in this system, we model it as a multirate loss model and propose recursive formulas which reduce the complexity of the calculations. The accuracy of the formulas is verified via simulation and found to be quite satisfactory.

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Author information

Authors and Affiliations

  1. Department of Informatics and Telecommunications, University of Peloponnese, 221 00, Tripolis, Greece

    P. I. Panagoulias & I. D. Moscholios

  2. WCL, Department of Electrical and Computer Engineering, University of Patras, 265 04, Patras, Greece

    M. D. Logothetis

Authors
  1. P. I. Panagoulias
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  2. I. D. Moscholios
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  3. M. D. Logothetis
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Corresponding author

Correspondence to I. D. Moscholios .

Editor information

Editors and Affiliations

  1. Institute of Telecommunications and Computer Science, University of Science and Technology (UTP), Bydgoszcz, Poland

    Michał Choraś

  2. Department of Telecommunications, Computer Sciences and Electrical Engineering, University of Science and Technology (UTP), Bydgoszcz, Poland

    Ryszard S. Choraś

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Panagoulias, P.I., Moscholios, I.D., Logothetis, M.D. (2020). Performance Metrics in OFDM Wireless Networks Under the Bandwidth Reservation Policy. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications. IP&C 2019. Advances in Intelligent Systems and Computing, vol 1062. Springer, Cham. https://doi.org/10.1007/978-3-030-31254-1_30

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