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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU123632" target="_blank" >RIV/00216305:26220/17:PU123632 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/7960375" target="_blank" >https://ieeexplore.ieee.org/document/7960375</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SIU.2017.7960375" target="_blank" >10.1109/SIU.2017.7960375</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    25th Signal Processing and Communications Applications Conference

  • ISBN

    978-1-4673-8817-7

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    1-4

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Antalya

  • Event date

    May 15, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000413813100239