Repository logo
 
Publication

Transmitted Power Formulation for the Optimization of Spectrum Aggregation in LTE-A over 800 MHz and 2 GHz Frequency Bands

2017Journal article Open access
Simple item page
dc.contributor.authorAcevedo Flores, Jessica Elizabeth
dc.contributor.authorRobalo, Daniel
dc.contributor.authorVelez, Fernando
dc.date.accessioned2019-08-28T09:49:27Z
dc.date.available2019-08-28T09:49:27Z
dc.date.issued2017
dc.description.abstractThis work starts by proposing a formulation to calculate the transmitter power needed to cover cells of different sizes, whilst maintaining the average signal to interference-plus-noise ratio constant, and near the maximum, for two Long Term Evolution (LTE) systems operating over non-contiguous frequency bands, 800 MHz and 2 GHz, with an integrated common radio resource management (iCRRM) entity. In the context of spectrum aggregation (SA), iCRRM is able to switch users between the two LTE-Advanced scenarios to facilitate the best user allocation and maximize the total network throughput in these LTE systems. We address a formulation based on the computation of the average received power and average co-channel interference in cellular topologies with frequency reuse pattern K = 3, keeping the presence of coverage holes insignificant, whilst considering the COST-231 Hata path loss model. We have verified how the normalized power increases as the cell radius increases. The objective of applying this formulation in the dimensioning process is to save power for the shortest coverage distances. It has been found that without SA the maximum average cell throughput is observed in the presence of 80 simultaneous users within the cell (40 for each LTE system, operating in different frequency bands). We have considered traced-based video sessions with a (video) bit rate of 128 kbps. In this scenario, through extensive simulations cell average supported throughput of approximately 6,800, 8,500 and 9,500 kbps have been obtained for the cases without SA (considering the sum of the 800 MHz and 2 GHz systems capacities), with a simple CRRM and with iCRRM, respectively. It was also found that when the peak throughput is achieved with 80 users, the average cell packet loss ratio without SA, with CRRM and iCRRM present values of 22, 11 and 7 %. The average cell delay with both CRRM and iCRRM entities is 22 ms, whereas without SA is equal to 32 ms. Finally, the cost/revenue tradeoff is analysed from the operator/service provider’s point of view, whose main goal is obtain the maximum profit from his business. It was found that CRRM increases the total profit in percentage, compared to a simple allocation, without SA. Nevertheless, the profit growth with iCRRM is even larger, from 253 to 296 % for R = 1,000 m and a price of 0.010 €/MByte. Therefore, our proposal for SA is convenient not only in terms of technical features and QoS, as loss and delay have been obtained within a range of reasonable values, but also in terms of economic aspects.pt_PT
dc.description.sponsorshiphis work has been partially supported and funded by the FCT project PEstOE/EEI/LA0008/2013, OPPORTUNISTIC-CR, LTE-Advanced Enhancements using Femtocells, CREaTION, COST IC0905 TERRA, COST IC 0902, COST IC 1004, by the Marie Curie Reintegration Grant PLANOPTI (FP7-PEOPLE -2009-RG), EFATraS, ECOOP, HANDCAD and ORCIP
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJessica Acevedo, Daniel Robalo, Fernando J. Velez, “Transmitted Power Formulation for the Optimization of Spectrum Aggregation in LTE-A over 800 MHz and 2 GHz Frequency Bands,” Special Issue of the Wireless Personal Communications Journal (from WPMC 2013), vol. 93, no.3, Apr. 2017.pt_PT
dc.identifier.doi10.1007/s11277-015-2818-zpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/7204
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation2013 - Strategic Project
dc.relationOPPORTUNISTIC-CR - Opportunistic Aggregation of Spectrum and Cognitive Radios: Consequences on Public Policies
dc.relationLTE-Advanced Enhancements using Femtocells
dc.relationPlanning and Optimisation for the Coexistence of Mobile and Wireless Networks Towards Long Term Evolution
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s11277-014-2231-zpt_PT
dc.subjectLong Term Evolution Advancedpt_PT
dc.subjectRadio resource managementpt_PT
dc.subjectSignal to interference-plus-noise ratiopt_PT
dc.subjectSpectrum aggregationpt_PT
dc.subjectWireless systemspt_PT
dc.titleTransmitted Power Formulation for the Optimization of Spectrum Aggregation in LTE-A over 800 MHz and 2 GHz Frequency Bandspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitle2013 - Strategic Project
oaire.awardTitleOPPORTUNISTIC-CR - Opportunistic Aggregation of Spectrum and Cognitive Radios: Consequences on Public Policies
oaire.awardTitleLTE-Advanced Enhancements using Femtocells
oaire.awardTitlePlanning and Optimisation for the Coexistence of Mobile and Wireless Networks Towards Long Term Evolution
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FEEI%2FLA0008%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEEA-TEL%2F115981%2F2009/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEEA-TEL%2F120666%2F2010/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/EXCL%2FEEI-TEL%2F0067%2F2012/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/256624/EU
oaire.citation.endPage852pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage833pt_PT
oaire.citation.titleWireless Personal Communicationspt_PT
oaire.citation.volume93pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
oaire.fundingStream3599-PPCDT
oaire.fundingStream3599-PPCDT
oaire.fundingStreamFP7
person.familyNameAcevedo Flores
person.familyNameRobalo
person.familyNameVelez
person.givenNameJessica Elizabeth
person.givenNameDaniel
person.givenNameFernando J.
person.identifier.ciencia-id1510-E247-C9DB
person.identifier.orcid0000-0002-0050-7886
person.identifier.orcid0000-0002-2425-1555
person.identifier.orcid0000-0001-9680-123X
person.identifier.ridN-8884-2013
person.identifier.scopus-author-id55925305200
person.identifier.scopus-author-id24332960100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationc4e5ebfc-86d0-4c69-b8c8-44c5e91cc3bb
relation.isAuthorOfPublicationc5bd0129-e570-4489-a490-98a4809bb661
relation.isAuthorOfPublicationeb831c87-4af4-4978-ba42-43d4d55dbe1f
relation.isAuthorOfPublication.latestForDiscoveryeb831c87-4af4-4978-ba42-43d4d55dbe1f
relation.isProjectOfPublicationc854cbfd-109b-4235-b56b-5c42e367905c
relation.isProjectOfPublication048cbb8d-fb2a-42a9-9aa3-1b3de104a76a
relation.isProjectOfPublicatione6d0337a-1a38-438c-acd7-a426128244e0
relation.isProjectOfPublicationfbc2b895-ef8f-4e0f-b4a2-139c3cf49419
relation.isProjectOfPublicationc668ccae-35d0-41ba-a0d3-d554f3b01440
relation.isProjectOfPublication.latestForDiscoveryc668ccae-35d0-41ba-a0d3-d554f3b01440

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
R16_Flores2017_Article_TransmittedPowerFormulationFor.pdf
Size:
1.53 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

FE - DEM | Documentos por Auto-Depósito
ICI - IT-UBI | Documentos por Auto-Depósito