Enhanced Spectrum Planning in Cognitive System Based on Reinforcement Learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU105235" target="_blank" >RIV/00216305:26220/13:PU105235 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Enhanced Spectrum Planning in Cognitive System Based on Reinforcement Learning
Original language description
This paper presents preliminary results of interference less spectrum planning which is performed by reinforcement learning. The frequency planning of the wireless services is very difficult in current overfilled spectrum situation since it is nearly impossible to find spectral hole worldwide to deploy a new wireless service. The possible solution is an open dynamic spectrum access which could be implemented as a part of cognitive radio. Moreover, the modern wireless standards such as LTE-A partly implement cognitive radio improvements, e.g. carrier aggregation system, which enables using unused parts of the frequency spectrum to decrease interference and increase data throughput. It could be realised both the intra-band and the inter-band solution. According to the measured data of the spectrum situation in various environments, we prepared best case of channel switching in LTE-A and WI-FI systems, which is based on the reinforcement learning to minimize interference with primary users represented by measured data. Using this technique, we are capable to obtain very low misdetection probability and large variety in channel switching.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED2.1.00%2F03.0072" target="_blank" >ED2.1.00/03.0072: Centre of sensor, information and communication systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of PIERS 2013 in Stockholm
ISBN
978-1-934142-26-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
759-762
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Stockholm
Event date
Aug 12, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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