research-article

Self-configuration and self-optimization for LTE networks

Authors:

Ping WuAuthors Info & Claims

IEEE Communications Magazine, Volume 48, Issue 2

Pages 94 - 100

https://doi.org/10.1109/MCOM.2010.5402670

Published: 01 February 2010 Publication History

Abstract

With the rapid growth of mobile communications, deployment and maintenance of cellular mobile networks are becoming more and more complex, time consuming, and expensive. In order to meet the requirements of network operators and service providers, the telecommunication industry and international standardization bodies have recently paid intensive attention to the research and development of self-organizing networks. In this article we first introduce both the market and technological perspectives for SONs. Then we focus on the self-configuration procedure and illustrate a self-booting mechanism for a newly added evolved NodeB without a dedicated backhaul interface. Finally, mobility load balancing as one of the most important selfoptimization issues for Long Term Evolution networks is discussed, and a distributed MLB algorithm with low handover cost is proposed and evaluated.

References

[1]

NEC, "Self Organizing Network: NEC's Proposals for Next-Generation Radio Network Management," Feb. 2009; http://www.nec.com

Google Scholar

[2]

M. Dottling and I. Viering, "Challenges in Mobile Network Operation: Towards Self-Optimizing Networks," Proc. IEEE Int'l. Conf. Acoustics, Speech, and Sig. Processing, Apr. 2009, pp. 3609-12.

Crossref

Google Scholar

[3]

3GPP Tech. Rep. TR 36.902 v. 1.2.0, "Self-Configuring and Self-Optimizing Network Use Cases and Solutions," May 2009.

Google Scholar

[4]

NGMN, "Use Cases Related to Self-Organising Network, Overall Description," v. 2.02, Apr. 2007; http://www. ngmn.org

Google Scholar

[5]

INFSO-ICT216284 SOCRATES, "Framework for the Development of Self-Organisation Methods," Deliverable D2.4, v. 1.0.3, July 2008; http://www.fp7-socrates.org/ files/Publications/

Google Scholar

[6]

3GPP TS 36.300 v. 8.8.0, "Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN), Overall Description, Stage 2, Release 8," 2009.

Google Scholar

[7]

Alcatel-Lucent, "Automated Installation of eNodeBs," R3-071251, 3GPP TSG RAN3 #56bis, Sophia Antipolis, 2007.

Google Scholar

[8]

Ericsson, "Self Backhauling and Lower Layer Relaying," R1-082407, 3GPP TSG-RAN WG1 #53bis, Warsaw, Poland, 2008.

Google Scholar

[9]

X. Lin, N. B. Shroff, and R. Srikant, "The Impact of Imperfect Scheduling on Cross-Layer Rate Control in Wireless Networks," IEEE/ACM Trans. Net., vol. 14, no. 2, Apr. 2006, pp. 302-15.

Digital Library

Google Scholar

[10]

T. Bu, L. Li, and R. Ramjee, "Generalized Proportional Fair Scheduling in Third Generation Wireless Data Networks," Proc. IEEE INFOCOM '06, Apr. 2006, pp. 1-12.

Google Scholar

Cited By

View all

Dakkak ABosch JHolmstrom Olsson H(2024)Towards AIOps enabled services in continuously evolving software‐intensive embedded systemsJournal of Software: Evolution and Process10.1002/smr.259236:5Online publication date: 25-Apr-2024
https://dl.acm.org/doi/10.1002/smr.2592
Viola RMartín ÁZorrilla MMontalbán JAngueira PMuntean G(2023)A Survey on Virtual Network Functions for Media Streaming: Solutions and Future ChallengesACM Computing Surveys10.1145/356782655:11(1-37)Online publication date: 9-Feb-2023
https://dl.acm.org/doi/10.1145/3567826
Yadav PMaheshwari KLal AAgrawal R(2021)Network Planning for Deep Fading Area at 1.8 GHz LTE NetworkWireless Personal Communications: An International Journal10.1007/s11277-020-07788-z116:3(2223-2237)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s11277-020-07788-z
Show More Cited By

Self-configuration and self-optimization for LTE networks
1. Networks
  1. Network services
  2. Network types

Recommendations

LTE Self-Organising Networks (SON): Network Management Automation for Operational Efficiency
Self organizing method for handover performance optimization in LTE-advanced network

Classical wireless cellular networks configure semi-static values of handover decision parameters, which are usually been modified manually by the operator at a certain time interval post analyzing the network performance report. To reduce the operator'...
Self-optimization of handover parameters for dynamic small-cell networks

Seamless handover is an essential feature of cellular networks. For small-cell networks, effective handover becomes particularly challenging. If some cells may be activated and deactivated dynamically, effective handover handling will become even more ...

Comments

Information & Contributors

Information

Published In

cover image IEEE Communications Magazine

IEEE Communications Magazine Volume 48, Issue 2

February 2010

129 pages

ISSN:0163-6804

Issue’s Table of Contents

Publisher

IEEE Press

Publication History

Published: 01 February 2010

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

27
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Dakkak ABosch JHolmstrom Olsson H(2024)Towards AIOps enabled services in continuously evolving software‐intensive embedded systemsJournal of Software: Evolution and Process10.1002/smr.259236:5Online publication date: 25-Apr-2024
https://dl.acm.org/doi/10.1002/smr.2592
Viola RMartín ÁZorrilla MMontalbán JAngueira PMuntean G(2023)A Survey on Virtual Network Functions for Media Streaming: Solutions and Future ChallengesACM Computing Surveys10.1145/356782655:11(1-37)Online publication date: 9-Feb-2023
https://dl.acm.org/doi/10.1145/3567826
Yadav PMaheshwari KLal AAgrawal R(2021)Network Planning for Deep Fading Area at 1.8 GHz LTE NetworkWireless Personal Communications: An International Journal10.1007/s11277-020-07788-z116:3(2223-2237)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s11277-020-07788-z
Bordel BAlcarria RSánchez de Rivera DMartín DRobles T(2018)Fast self-configuration in service-oriented Smart Environments for real-time applicationsJournal of Ambient Intelligence and Smart Environments10.3233/AIS-18047910:2(143-167)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.3233/AIS-180479
Park J(2018)UE-Initiated Cell Reselection Game for Cell Load Balancing in a Wireless NetworkWireless Communications & Mobile Computing10.1155/2018/27123572018Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1155/2018/2712357
Pournaras EPilgerstorfer PAsikis T(2018)Decentralized Collective Learning for Self-managed Sharing EconomiesACM Transactions on Autonomous and Adaptive Systems10.1145/327766813:2(1-33)Online publication date: 26-Nov-2018
https://dl.acm.org/doi/10.1145/3277668
Pilgerstorfer PPournaras EGarlan DNuseibeh B(2017)Self-adaptive learning in decentralized combinatorial optimizationProceedings of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems10.1109/SEAMS.2017.8(54-64)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.1109/SEAMS.2017.8
Maaz BKhawam KTohme SNasreddine JLahoud S(2017)Achieving power and energy efficiency in self-organizing networks2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC)10.1109/CCNC.2017.7983227(741-747)Online publication date: 8-Jan-2017
https://dl.acm.org/doi/10.1109/CCNC.2017.7983227
Bordel BAlcarria RRobles TMartn D(2017)Cyberphysical systemsPervasive and Mobile Computing10.1016/j.pmcj.2017.06.01140:C(156-184)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1016/j.pmcj.2017.06.011
Rejeb SNasser NMansour SBoujlbane M(2017)Centralized SON function for operator optimal strategies in heterogeneous networksComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2017.06.018128:C(14-27)Online publication date: 9-Dec-2017
https://dl.acm.org/doi/10.1016/j.comnet.2017.06.018
Show More Cited By

Abstract

References

Cited By

Recommendations

LTE Self-Organising Networks (SON): Network Management Automation for Operational Efficiency

Self organizing method for handover performance optimization in LTE-advanced network

Self-optimization of handover parameters for dynamic small-cell networks

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Share

Share this Publication link

Share on social media

Affiliations