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.

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Cited By

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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
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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
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Self-configuration and self-optimization for LTE networks
1. Networks
  1. Network services
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cover image IEEE Communications Magazine

IEEE Communications Magazine Volume 48, Issue 2

February 2010

129 pages

ISSN:0163-6804

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IEEE Press

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Published: 01 February 2010

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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
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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

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