Enhanced Spectrum Planning in Cognitive System Based on Reinforcement Learning

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Enhanced Spectrum Planning in Cognitive System Based on Reinforcement Learning

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Enhanced Spectrum Planning in Cognitive System Based on Reinforcement Learning

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/ED2.1.00%2F03.0072" target="_blank" >ED2.1.00/03.0072: Centrum senzorických, informačních a komunikačních systémů (SIX)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of PIERS 2013 in Stockholm

ISBN

978-1-934142-26-4

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

759-762

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Stockholm

Datum konání akce

12. 8. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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