Skip to main content
SpringerLink
Log in

Mobility Load Balancing with Multi-Cells for Parameter Control Resolution in Ultra-Dense Network

  • Conference paper
  • First Online:
New Advances in Information Systems and Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 445))

Abstract

Ultra-Dense Network (UND) is seen as a major development trend in the evolution of future networks, due to its ability to provide more capacity to the whole system and meet higher users’ Quality of Service (QoS). Mobility Load Balancing (MLB) is an important Self-Organizing Network (SON) use case in Ultra-Dense Networks. In this paper, we propose a novel algorithm with concurrent MLB among ultra-dense cells. Simulation results show that balancing load among multi-cells by implementing the proposed MLB scheme is compared with the conventional MLB scheme.

This work was supported by China’s 863 Project (2014AA01A706), the National S&T Major Project (2015ZX03002004) Science and Technology Program of Beijing (D151100000115003) and Scientific and Technological Cooperation Projects (2015DFT10160B).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. D.Lopez-Perez, M.Ding, H.Claussen, A.H.Jafari.: Towards 1 Gbps/UE in Cellular Systems:Understanding Ultra-Dense Small Cell Deployments. IEEE Communications Surveys and Tutorials. (2015)

    Google Scholar 

  2. . Boccardi, et al.: Five Disruptive Technology Directions for 5G. IEEE Commun. (2014)

    Google Scholar 

  3. S. aspar and G. Wunder.: 5G Cellular communications scenarios and system requirements. Tech. Rep., https://www.5gnow.eu. (2014)

  4. P. Popov ski, Y. Braun, H.-P’ Mayer, P. Fertl et aI.: ICT-3l7669-METIS/ D1.1 Scenarios, requirements and KPIs for 5G mobile and wireless system. https://www.metis2020.com. (2014)

  5. N.Zia, S.S.Mwanje and A.Mitschele-Thiel.: A Policy Based Conflict Resolution Mechanism for MLB and MRO in LTE Self-Optimizing Networks. Computers and Communication (ISCC). (2014)

    Google Scholar 

  6. R. Nasri and Z. Altman.: Handover adaptation for dynamic load balancing in 3GPP long term evolution systems. Proc. Int. Conf. Adv. MoMM. (2007)

    Google Scholar 

  7. 3GPP.: E-UTRA Radio Resource Control (RRC) Protocol specification (Release 8). TS 36.331 V8.16.0. (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Broadband Wireless Access Laboratory, Chongqing University of Posts and Telecommunications, Chongqing, China

    Qi Zhang

  2. Tsinghua National Laboratory for Information Science and Technology, Research Institute of Information Technology, Tsinghua University, Beijing, China

    Xin Su, Jie Zeng, Xibin Xu & Limin Xiao

Authors
  1. Qi Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xin Su
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jie Zeng
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xibin Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Limin Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Qi Zhang .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. ISEGI,, Universidade Nova de Lisboa, Lisboa, Portugal

    Ana Maria Correia

  3. College of Engineering, The Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

  4. DSI, Universidade do Minho, Guimarães, Portugal

    Luis Paulo Reis

  5. Rua Dom Manoel de Medeiros, s/n, DoisIrm, Universidade Federal Rural de Pernambuco, Recife, Brazil

    Marcelo Mendonça Teixeira

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Zhang, Q., Su, X., Zeng, J., Xu, X., Xiao, L. (2016). Mobility Load Balancing with Multi-Cells for Parameter Control Resolution in Ultra-Dense Network. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira, M. (eds) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-319-31307-8_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-31307-8_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31306-1

  • Online ISBN: 978-3-319-31307-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation