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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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