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Performance analysis of cognitive femtocell network with ambient RF energy harvesting

2018
book section
conference proceedings
10.1007/978-3-030-01168-0_24
Conference series
Author
Martyna Jerzy
Editor
Galinina Olga

Andreev Sergey

Balandin Sergey

Koucheryavy Yevgeni
Series editor
Goos Gerhard

Hartmanis Juris

van Leeuwen Jan
Book title / Journal title
Internet of things, Smart spaces, and Next generation networks and systems : 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, St. Petersburg, Russia, August 27-29, 2018 : proceedings
Place of publication: Publisher
Cham : Springer International Publishing
Pages
255-267
ISBN
978-3-030-01167-3
eISBN
978-3-030-01168-0
Series
Lecture Notes in Computer Science
Serie's ISSN
0302-9743
Serie's eISSN
1611-3349
Number of serie
vol. 11118
Keywords in English

Cognitive radio

Femtocell network

RF energy harvesting

Spectrum sharing

Power control

Language
English
Book language / Journal language
English
Abstract in English

Radio frequency (RF) energy harvesting is a promising technique to collect energy from the concurrent downlink transmissions. This energy after converting it into DC power can power up such devices as cell phones, Wi-Fi networks, etc. In this paper, a model of RF energy harvesting in the cognitive femtocell is presented. Additionally, an algorithm to maximise the average throughput of the secondary system over a given slot time is given. Increased throughput allows to improve the energy harvesting in the femtocell. Moreover, the effect of varying the different parameters such as the spatial density of BSs, significantly affects the values of energy harvesting in cognitive femtocell network. The obtained results of simulation tests confirm the obtained theoretical results of energy harvesting in cognitive femtocell networks.

Conference
18th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2018
Conference start date
2018-08-27
End date conference
2018-08-29
Conference city
St. Petersburg
Conference country
Rosja
Conference type
international
Affiliation
Wydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowej
cris.lastimport.wos2024-04-09T20:05:41Z
dc.abstract.enRadio frequency (RF) energy harvesting is a promising technique to collect energy from the concurrent downlink transmissions. This energy after converting it into DC power can power up such devices as cell phones, Wi-Fi networks, etc. In this paper, a model of RF energy harvesting in the cognitive femtocell is presented. Additionally, an algorithm to maximise the average throughput of the secondary system over a given slot time is given. Increased throughput allows to improve the energy harvesting in the femtocell. Moreover, the effect of varying the different parameters such as the spatial density of BSs, significantly affects the values of energy harvesting in cognitive femtocell network. The obtained results of simulation tests confirm the obtained theoretical results of energy harvesting in cognitive femtocell networks.pl
dc.affiliationWydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowejpl
dc.conference18th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2018
dc.conference.citySt. Petersburg
dc.conference.countryRosja
dc.conference.datefinish2018-08-29
dc.conference.datestart2018-08-27
dc.conference.indexscopustrue
dc.contributor.authorMartyna, Jerzy - 130359 pl
dc.contributor.editorGalinina, Olgapl
dc.contributor.editorAndreev, Sergeypl
dc.contributor.editorBalandin, Sergeypl
dc.contributor.editorKoucheryavy, Yevgenipl
dc.contributor.serieseditorGoos, Gerhardpl
dc.contributor.serieseditorHartmanis, Jurispl
dc.contributor.serieseditorvan Leeuwen, Janpl
dc.date.accessioned2018-10-19T07:59:55Z
dc.date.available2018-10-19T07:59:55Z
dc.date.issued2018pl
dc.description.conftypeinternationalpl
dc.description.physical255-267pl
dc.description.publication0,49pl
dc.description.seriesLecture Notes in Computer Science
dc.description.seriesnumbervol. 11118
dc.identifier.doi10.1007/978-3-030-01168-0_24pl
dc.identifier.eisbn978-3-030-01168-0pl
dc.identifier.isbn978-3-030-01167-3pl
dc.identifier.projectROD UJ / Opl
dc.identifier.serieseissn1611-3349
dc.identifier.seriesissn0302-9743
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/58409
dc.languageengpl
dc.language.containerengpl
dc.pubinfoCham : Springer International Publishingpl
dc.publisher.ministerialSpringerpl
dc.rightsDodaję tylko opis bibliograficzny*
dc.rights.licenceBez licencji otwartego dostępu
dc.source.integratorfalse
dc.sourceinfoliczba autorów 189; liczba stron 705; liczba arkuszy wydawniczych 44;pl
dc.subject.enCognitive radiopl
dc.subject.enFemtocell networkpl
dc.subject.enRF energy harvestingpl
dc.subject.enSpectrum sharingpl
dc.subject.enPower controlpl
dc.subtypeConferenceProceedingspl
dc.titlePerformance analysis of cognitive femtocell network with ambient RF energy harvestingpl
dc.title.containerInternet of things, Smart spaces, and Next generation networks and systems : 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, St. Petersburg, Russia, August 27-29, 2018 : proceedingspl
dc.typeBookSectionpl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-09T20:05:41Z
dc.abstract.enpl
Radio frequency (RF) energy harvesting is a promising technique to collect energy from the concurrent downlink transmissions. This energy after converting it into DC power can power up such devices as cell phones, Wi-Fi networks, etc. In this paper, a model of RF energy harvesting in the cognitive femtocell is presented. Additionally, an algorithm to maximise the average throughput of the secondary system over a given slot time is given. Increased throughput allows to improve the energy harvesting in the femtocell. Moreover, the effect of varying the different parameters such as the spatial density of BSs, significantly affects the values of energy harvesting in cognitive femtocell network. The obtained results of simulation tests confirm the obtained theoretical results of energy harvesting in cognitive femtocell networks.
dc.affiliationpl
Wydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowej
dc.conference
18th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2018
dc.conference.city
St. Petersburg
dc.conference.country
Rosja
dc.conference.datefinish
2018-08-29
dc.conference.datestart
2018-08-27
dc.conference.indexscopus
true
dc.contributor.authorpl
Martyna, Jerzy - 130359
dc.contributor.editorpl
Galinina, Olga
dc.contributor.editorpl
Andreev, Sergey
dc.contributor.editorpl
Balandin, Sergey
dc.contributor.editorpl
Koucheryavy, Yevgeni
dc.contributor.serieseditorpl
Goos, Gerhard
dc.contributor.serieseditorpl
Hartmanis, Juris
dc.contributor.serieseditorpl
van Leeuwen, Jan
dc.date.accessioned
2018-10-19T07:59:55Z
dc.date.available
2018-10-19T07:59:55Z
dc.date.issuedpl
2018
dc.description.conftypepl
international
dc.description.physicalpl
255-267
dc.description.publicationpl
0,49
dc.description.series
Lecture Notes in Computer Science
dc.description.seriesnumber
vol. 11118
dc.identifier.doipl
10.1007/978-3-030-01168-0_24
dc.identifier.eisbnpl
978-3-030-01168-0
dc.identifier.isbnpl
978-3-030-01167-3
dc.identifier.projectpl
ROD UJ / O
dc.identifier.serieseissn
1611-3349
dc.identifier.seriesissn
0302-9743
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/58409
dc.languagepl
eng
dc.language.containerpl
eng
dc.pubinfopl
Cham : Springer International Publishing
dc.publisher.ministerialpl
Springer
dc.rights*
Dodaję tylko opis bibliograficzny
dc.rights.licence
Bez licencji otwartego dostępu
dc.source.integrator
false
dc.sourceinfopl
liczba autorów 189; liczba stron 705; liczba arkuszy wydawniczych 44;
dc.subject.enpl
Cognitive radio
dc.subject.enpl
Femtocell network
dc.subject.enpl
RF energy harvesting
dc.subject.enpl
Spectrum sharing
dc.subject.enpl
Power control
dc.subtypepl
ConferenceProceedings
dc.titlepl
Performance analysis of cognitive femtocell network with ambient RF energy harvesting
dc.title.containerpl
Internet of things, Smart spaces, and Next generation networks and systems : 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, St. Petersburg, Russia, August 27-29, 2018 : proceedings
dc.typepl
BookSection
dspace.entity.type
Publication
Affiliations
Wydział Matematyki i Informatyki
Martyna, Jerzy
No affiliation
Galinina, Olga
Andreev, Sergey
Balandin, Sergey
Koucheryavy, Yevgeni
Goos, Gerhard
Hartmanis, Juris
van Leeuwen, Jan

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