In EDS ansehen

User driven multiclass cell association in 5G HetNets for mobile IoT devices

Gespeichert in:
Bibliographische Detailangaben
Titel: User driven multiclass cell association in 5G HetNets for mobile IoT devices
Autoren: Waheidi, Yaser M., Jubran, Mohammad K., Hussein, Mohammed
Verlagsinformationen: IEEE
Publikationsjahr: 2019
Bestand: FADA - Birzeit University Open Access Repository
Schlagwörter: Wireless communication systems, Mobile communication systems, 5G mobile communication systems, Ultra-dense networks, Cell association, Energy conversion, Energy harvesting, Game theory, Heterogeneous distributed computing systems
Beschreibung: An article published in journal : IEEE Access, Vol. 7, pp. 82991-83000 ; Fifth generation (5G) needs to support plenty of applications and services with a wide variety of quality of service requirements. The deployment of ultra-dense small cells’ networks as a part of the heterogeneous networks architecture is one of the key technologies to achieve this. In such a dense architecture, associating devices with the network is challenging. The traditional cell association algorithms use signal-to-interference-plus-noise ratio metric. However, this is not appropriate for 5G, especially with the reduction in the cells size and the growing number of the user equipment (UE) and the Internet-ofThings (IoT) devices. In this paper, we propose a distributed multiclass user-driven cell association algorithm based on the multi armed bandit game (CA-MAB) to connect devices with different requirements to the network. Here, we focus on two classes of devices: UE devices and low-power IoT devices. The proposed algorithm is evaluated in static and mobile environments, where the convergence and equilibrium are achieved. Our performance results are validated against the central cell association method that is complex and requires a huge amount of information exchange. The results show that CA-MAB throughput and energy efficiency are within 10% of the centralized solution. These values increase by less than 5% in the case of mobility. However, they reduce with more network densification
Publikationsart: article in journal/newspaper
Sprache: unknown
Relation: IEEE Access; http://hdl.handle.net/20.500.11889/6122; https://api.elsevier.com/content/abstract/scopus_id/85068718179; 2-s2.0-85068718179
DOI: 10.1109/ACCESS.2019.2924521
Verfügbarkeit: https://hdl.handle.net/20.500.11889/6122
https://api.elsevier.com/content/abstract/scopus_id/85068718179
https://doi.org/10.1109/ACCESS.2019.2924521
Dokumentencode: edsbas.C4F8EC5F
Datenbank: BASE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://hdl.handle.net/20.500.11889/6122#
    Name: EDS - BASE (s4221598)
    Category: fullText
    Text: View record from BASE
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Waheidi%20YM
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsbas
DbLabel: BASE
An: edsbas.C4F8EC5F
RelevancyScore: 893
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 892.664306640625
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: User driven multiclass cell association in 5G HetNets for mobile IoT devices
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Waheidi%2C+Yaser+M%2E%22">Waheidi, Yaser M.</searchLink><br /><searchLink fieldCode="AR" term="%22Jubran%2C+Mohammad+K%2E%22">Jubran, Mohammad K.</searchLink><br /><searchLink fieldCode="AR" term="%22Hussein%2C+Mohammed%22">Hussein, Mohammed</searchLink>
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: IEEE
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2019
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: FADA - Birzeit University Open Access Repository
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Wireless+communication+systems%22">Wireless communication systems</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+communication+systems%22">Mobile communication systems</searchLink><br /><searchLink fieldCode="DE" term="%225G+mobile+communication+systems%22">5G mobile communication systems</searchLink><br /><searchLink fieldCode="DE" term="%22Ultra-dense+networks%22">Ultra-dense networks</searchLink><br /><searchLink fieldCode="DE" term="%22Cell+association%22">Cell association</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+conversion%22">Energy conversion</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+harvesting%22">Energy harvesting</searchLink><br /><searchLink fieldCode="DE" term="%22Game+theory%22">Game theory</searchLink><br /><searchLink fieldCode="DE" term="%22Heterogeneous+distributed+computing+systems%22">Heterogeneous distributed computing systems</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: An article published in journal : IEEE Access, Vol. 7, pp. 82991-83000 ; Fifth generation (5G) needs to support plenty of applications and services with a wide variety of quality of service requirements. The deployment of ultra-dense small cells’ networks as a part of the heterogeneous networks architecture is one of the key technologies to achieve this. In such a dense architecture, associating devices with the network is challenging. The traditional cell association algorithms use signal-to-interference-plus-noise ratio metric. However, this is not appropriate for 5G, especially with the reduction in the cells size and the growing number of the user equipment (UE) and the Internet-ofThings (IoT) devices. In this paper, we propose a distributed multiclass user-driven cell association algorithm based on the multi armed bandit game (CA-MAB) to connect devices with different requirements to the network. Here, we focus on two classes of devices: UE devices and low-power IoT devices. The proposed algorithm is evaluated in static and mobile environments, where the convergence and equilibrium are achieved. Our performance results are validated against the central cell association method that is complex and requires a huge amount of information exchange. The results show that CA-MAB throughput and energy efficiency are within 10% of the centralized solution. These values increase by less than 5% in the case of mobility. However, they reduce with more network densification
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article in journal/newspaper
– Name: Language
  Label: Language
  Group: Lang
  Data: unknown
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: IEEE Access; http://hdl.handle.net/20.500.11889/6122; https://api.elsevier.com/content/abstract/scopus_id/85068718179; 2-s2.0-85068718179
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1109/ACCESS.2019.2924521
– Name: URL
  Label: Availability
  Group: URL
  Data: https://hdl.handle.net/20.500.11889/6122<br />https://api.elsevier.com/content/abstract/scopus_id/85068718179<br />https://doi.org/10.1109/ACCESS.2019.2924521
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.C4F8EC5F
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.C4F8EC5F
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/ACCESS.2019.2924521
    Languages:
      – Text: unknown
    Subjects:
      – SubjectFull: Wireless communication systems
        Type: general
      – SubjectFull: Mobile communication systems
        Type: general
      – SubjectFull: 5G mobile communication systems
        Type: general
      – SubjectFull: Ultra-dense networks
        Type: general
      – SubjectFull: Cell association
        Type: general
      – SubjectFull: Energy conversion
        Type: general
      – SubjectFull: Energy harvesting
        Type: general
      – SubjectFull: Game theory
        Type: general
      – SubjectFull: Heterogeneous distributed computing systems
        Type: general
    Titles:
      – TitleFull: User driven multiclass cell association in 5G HetNets for mobile IoT devices
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Waheidi, Yaser M.
      – PersonEntity:
          Name:
            NameFull: Jubran, Mohammad K.
      – PersonEntity:
          Name:
            NameFull: Hussein, Mohammed
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-locals
              Value: edsbas
            – Type: issn-locals
              Value: edsbas.oa
ResultId 1