Publication detail

Dynamic Decision-Based Spectrum Sharing Framework for Next-generation (5G) Systems

SADREDDINI, Z. MAŠEK, P. CAVDAR, T. HOŠEK, J. GULER, E.

Original Title

Dynamic Decision-Based Spectrum Sharing Framework for Next-generation (5G) Systems

English Title

Dynamic Decision-Based Spectrum Sharing Framework for Next-generation (5G) Systems

Type

conference paper

Language

en

Original Abstract

Looking into the concept of next-generation (5G) cellular systems, it is necessary to do a revision of existing radio spectrum management techniques and come up with more flexible solutions. A new wave of spectrum policy reforms can be envisaged with a direction shift from static to dynamic optimization. According to the peak hours, the number of served users in mobile networks is increasing. Since the radio spectrum is limited, cognitive radio (CR) technology provides an opportunity to recognize under-utilized cellular spectrum (licensed band) resources. To this end, efficient spectrum management techniques based on CR technology should be implemented to share the spectrum between different types of users in order to maximize spectrum utilization and spectral efficiency. In this work, we present dynamic decision-based spectrum sharing model among multiple classes of users in CR network (CRN) in order to increase network utilization and the quality of experience (QoE) by increasing the users’ satisfaction. Obtained simulation results from created toolkit in Matlab tool (calibrated by data set from real 3GGP LTE-Advanced system) show the performance of the developed model and appropriate user selection among multiple users’ types.

English abstract

Looking into the concept of next-generation (5G) cellular systems, it is necessary to do a revision of existing radio spectrum management techniques and come up with more flexible solutions. A new wave of spectrum policy reforms can be envisaged with a direction shift from static to dynamic optimization. According to the peak hours, the number of served users in mobile networks is increasing. Since the radio spectrum is limited, cognitive radio (CR) technology provides an opportunity to recognize under-utilized cellular spectrum (licensed band) resources. To this end, efficient spectrum management techniques based on CR technology should be implemented to share the spectrum between different types of users in order to maximize spectrum utilization and spectral efficiency. In this work, we present dynamic decision-based spectrum sharing model among multiple classes of users in CR network (CRN) in order to increase network utilization and the quality of experience (QoE) by increasing the users’ satisfaction. Obtained simulation results from created toolkit in Matlab tool (calibrated by data set from real 3GGP LTE-Advanced system) show the performance of the developed model and appropriate user selection among multiple users’ types.

Keywords

Cognitive Radio Network; Spectrum Management; Spectral Efficiency; User Satisfaction; Next-generation (5G) Cellular Systems

Released

18.05.2017

ISBN

978-1-4673-8817-7

Book

25th Signal Processing and Communications Applications Conference

Pages from

1

Pages to

4

Pages count

4

BibTex


@inproceedings{BUT135801,
  author="Zhaleh {Sadreddini} and Pavel {Mašek} and Tugrul {Cavdar} and Jiří {Hošek} and Erkan {Guler}",
  title="Dynamic Decision-Based Spectrum Sharing Framework for Next-generation (5G) Systems",
  annote="Looking into the concept of next-generation (5G) cellular systems, it is necessary to do a revision of existing
radio spectrum management techniques and come up with more flexible solutions. A new wave of spectrum policy reforms can be envisaged with a direction shift from static to dynamic optimization. According to the peak hours, the number of served users in mobile networks is increasing. Since the radio spectrum is limited, cognitive radio (CR) technology provides an opportunity to recognize under-utilized cellular spectrum (licensed band) resources. To this end, efficient spectrum management techniques based on CR technology should be implemented to share the spectrum between different types of users in order to maximize spectrum utilization and spectral efficiency. In this work, we present dynamic decision-based spectrum sharing model among
multiple classes of users in CR network (CRN) in order to increase network utilization and the quality of experience (QoE) by increasing the users’ satisfaction. Obtained simulation results from created toolkit in Matlab tool (calibrated by data set from real 3GGP LTE-Advanced system) show the performance of the developed model and appropriate user selection among multiple users’ types.",
  booktitle="25th Signal Processing and Communications Applications Conference",
  chapter="135801",
  howpublished="online",
  year="2017",
  month="may",
  pages="1--4",
  type="conference paper"
}