Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2019

21.11.2018

Evaluation of Random Physical Cell Id Assignment to Femtocells Under Dense Cell Deployment

verfasst von: Marek Sedlacek, Robert Bestak

Erschienen in: Wireless Personal Communications | Ausgabe 2/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The paper discusses femtocell identification aspects in mobile networks such as long-term evolution (LTE) and LTE-advanced. Femtocells, or femto access points (FAPs), are new-class of base stations in addition to existing macro, microcells. Unlike these cells, femtocells implement automatic configuration principles. One of the main parameters in the automatic configuration process is among others an physical cell identifier. By considering two FAP deployment models, we discuss collision and confusion issues, which affect the proper physical cell id allocation. The first model represents a random deployment of FAPs within a (rural) macrocell area, whereas the second one, called dense urban model, constitutes placement of FAPs in a built-up area. The given study serves for the better understanding of interrelations between differently placed FAPs in term of collision and confusion events, and the obtained results can be used as a basis when designing an algorithm for automated assignment of physical cell identifier.
Vorheriger Artikel QoS Aware Replica Control Strategies for Distributed Real Time Database Management System
Nächster Artikel All-Optical FSO Relaying Under Mixture-Gamma Fading Channels and Pointing Errors

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
IEEE Comsoc. (2015). Ten trends that tell where communication technologies are headed in 2015. January 2015. Available at www.​comsoc.​org.
2.
UMTS Forum. (2015). 3G/4G subscriptions pass 3 billion milestone. In UMTS forum.
3.
GSMA. (2014). Understanding the internet of things. In GSMA.
4.
UMTS Forum. (2011). Mobile traffic forecasts 2010–2020 report. Report 44, UMTS Forum.
5.
6.
7.
8.
3GPP TR 36.300 V13.1.0. (2015). Evolved universal terrestrial radio access (E-UTRA) and evolved universal terrestrial radio access network (E-UTRAN) overall description; stage 2. In 3GPP TSG RAN.
9.
3GPP TR 32.816. Study on management of evolved universal terrestrial radio access network (E-UTRAN) and evolved packet core (EPC). In 3GPP TSG RAN.
10.
Feng, S., & Seidel, E. (2008). Self-organizing networks (SON) in 3GPP long term evolution. Germany: Nomor Research GmbH.
11.
3GPP TS 36.211 V12.7.0. (2015). Physical channels and modulation. In 3rd Generation partnership project; technical specification group radio ccess network; evolved universal terrestrial radio access (E-UTRA).
12.
3GPP TS 36.133. (2014). 3GPP technical specification group radio access network. In Evolved universal terrestrial radio access (E-UTRA), 3rd generation project partnership on requirements for support of radio resource management (release 12).
13.
3GPP TR 36.902. (2010). Self-configuring and self-optimizing network (SON) use cases and solutions. In 3GPP TSG RAN.
14.
Mathar, R., & Niessen, T. (2000). Optimum positioning of base stations for cellular radio networks. Wireless Networks, 6(6), 421–428.CrossRefMATH
15.
Fewell, M. P. (2006). Area of common overlap of three circles. Technical Report DSTO-TN-0722. Maritime Operations Division, Australian Government, Department of Defence.
16.
Librino, F., Levorato, M., & Zorzi, M. (2009). An algorithmic solution for computing circle intersection areas and its applications to wireless communications. In 7th International symposium on modeling and optimization in mobile, ad hoc, and wireless networks (pp. 1–10).
17.
Nourani, F., & Jamali, M. (2010). Improved circles intersection algorithm for localization in wireless sensor networks. In 2010 11th ACIS international conference on software engineering artificial intelligence networking and parallel/distributed computing (SNPD) (pp. 129–133).
18.
Lei, F., Wenliang, D., & Peng, N. (2005). A beacon-less location discovery scheme for wireless sensor networks. In INFOCOM 2005, Proceedings IEEE on 24th annual joint conference of the IEEE computer and communications societies. (Vol. 1, pp. 161–171).
19.
Zaidi, M., Tourki, R., & Ouni, R. (2010). A new geometric approach to mobile position in wireless LAN reducing complex computations. In 2010 5th International conference on design and technology of integrated systems in nanoscale era (DTIS) (pp. 1–7).
20.
3GPP. (2008). 3GPP R3-080376, SON use case: Cell Phy ID automated configuration. In 3GPP.
21.
3GPP. (2008). 3GPP R1-082747, summary of options to extend the PCI space. In 3GPP.
22.
Sungoh, K., & Neung-Hyung, L. (2011). Virtual extension of cell IDs in a femtocell environment. In 2011 IEEE on wireless communications and networking conference (WCNC) (pp. 428, 433, 28–31).
23.
Bandh, T., Carle, G., & Sanneck, H. (2009). Graph coloring based physical-cell-ID assignment for LTE networks. In IWCMC (pp. 116–120).
24.
Bandh, T., Carle, G., Sanneck, H., Schmelz, L. C., Romeikat, R., & Bauer, B. (2010). Optimized network configuration parameter assignment based on graph coloring. In 2010 IEEE on network operations and management symposium (NOMS) (pp. 19–23).
25.
Furqan, A., Olav, T., Matti, P., Juha-Matti, K., Chia-Hao, Y., & Miko, A. (2010). Distributed graph coloring for self-organization in LTE networks. Journal of Electrical and Computer Engineering, 2010, 1–10.
26.
Yanguang, L., Wenjing, L., Heng, Z., & Weihao, L. (2010). Graph based automatic centralized PCI assignment in LTE. In 2010 IEEE symposium on computers and communications (ISCC) (pp. 919–921).
27.
Yi, W., Jiang, H., Ye, W., & Dongmei, Z. (2010). Physical cell identity self-organization for home eNodeB deployment in LTE. In 6th International conference on wireless communications networking and mobile computing (WiCOM) (p. 1).
28.
3GPP. (2008). 3GPP R2-084563. In New solution for CSG-cell identification. 3GPP.
29.
Metadaten
Titel
Evaluation of Random Physical Cell Id Assignment to Femtocells Under Dense Cell Deployment
verfasst von
Marek Sedlacek
Robert Bestak
Publikationsdatum
21.11.2018
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2019
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-018-6049-y

Weitere Artikel der Ausgabe 2/2019

Wireless Personal Communications 2/2019 Zur Ausgabe

OriginalPaper

3D Modeling and Analysis of the Space–Time Correlation for 5G Millimeter Wave MIMO Channels

OriginalPaper

Lightweight Security Scheme for Internet of Things

OriginalPaper

Non-uniform Quantized Data Fusion Rule for Data Rate Saving and Reducing Control Channel Overhead for Cooperative Spectrum Sensing in Cognitive Radio Networks

OriginalPaper

A QoS-Aware Joint Power and Subchannel Allocation Algorithm for Mobile Network Virtualization

OriginalPaper

Novel Scheduling Based Intelligent Video Streaming for Device-to-Device Communication in Wireless Networks

OriginalPaper

Performance Evaluation of Large MIMO

Neuer Inhalt

    Bildnachweise