Skip to main content

On the Use of Load Balancing for Saving Capacity in Dual Layer 3G Radio Access Networks

  • Conference paper
  • First Online:
E-Business and Telecommunications (ICETE 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 764))

Included in the following conference series:

  • 506 Accesses

Abstract

In order to progress in a highly competitive and complex market, Mobile Network Operators (MNOs) have to be efficient in managing their resources. This is definitely important in what concerns the available network capacity. This work presents a method to improve the longevity of the installed capacity for the MNO’s Base Stations. This was achieved using a Load Balancing algorithm, which takes into account the channel element usage of 3rd Generation (3G) sites, and sets a Received Signal Code Power (RSCP) threshold value for each one. Its evaluation is done by using a Traffic Forecast algorithm, based on a fitting method, in order to obtain an estimate of when the sites’ capacity limit is reached, before and after applying Load Balancing. The utilised input data consists of real traffic statistics, including geo-located indicators. During the course of this research work it was possible to develop a semi-automatic method for network optimisation using geo-located data, thus contributing to the development of research on Self-Organizing Networks. This project was developed in collaboration with a Portuguese telecommunications consulting company, Celfinet, which provided valuable supervision and guidance. Using the proposed method, and considering a year of observation and implementation, savings of about 70% in capacity expansions in the network were achievable.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

References

  1. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 20142019 [White Paper]. Technical report, Cisco (2014)

    Google Scholar 

  2. Ericsson Mobility Report [White Paper]. Technical report, Ericsson (2015)

    Google Scholar 

  3. Northcote, B.: TEMS Capacity Manager: Cost-Efficient Mobile Network Dimensioning [White Paper]. Technical report, Ascom (2014)

    Google Scholar 

  4. Ramiro, J., Hamied, K.: Self-Organizing Networks: Self-Planning, Self-Optimization and Self-Healing for GSM, UMTS and LTE, 1st edn. Wiley, Hoboken (2012)

    Google Scholar 

  5. Pedro, T., Vieira, P., Martins, A., Rodrigues, A.J.: An efficient approach for capacity savings using load balancing in dual layer 3G wireless networks. In: International Conference on Wireless Information Networks and Systems - Winsys, Lisbon, Portugal (2016)

    Google Scholar 

  6. Cunha, T., Martins, A., Vieira, P., Rodrigues, A., Silva, N., Varela, L.: Energy savings in 3G using dynamic spectrum access and base station sleep modes. In: URSI Atlantic Radio Science Conference (URSI AT-RASC), Maspalomas, Spain (2015)

    Google Scholar 

  7. Li, R., Zhao, Z., Zhou, X., Palicot, J.: The prediction analysis of cellular radio access network traffic: from entropy theory to networking practice. IEEE Commun. Mag. 52, 234–240 (2014)

    Article  Google Scholar 

  8. Yu, Y., Song, M., Fu, Y., Song, J.: Traffic prediction in 3G mobile networks based on multifractal exploration. Tsinghua Sci. Technol. 18, 398–405 (2013)

    Article  Google Scholar 

  9. Yu, Y., Wang, J., Song, M., Song, J.: Network traffic prediction and result analysis based on seasonal ARIMA and correlation coefficient. In: International Conference on Intelligent System Design and Engineering Application (ISDEA), Changsha, China, pp. 980–983 (2010)

    Google Scholar 

  10. Dawoud, S., Uzun, A., Gondor, S., Kupper, A.: Optimizing the power consumption of mobile networks based on traffic prediction. In: 38th Annual International Computers, Software and Applications Conference, Västerås, Sweden, pp. 279–288 (2014)

    Google Scholar 

  11. Li, J., Fan, C., Yang, D., Gu, J.: UMTS soft handover algorithm with adaptive thresholds for load balancing. In: IEEE 62nd Vehicular Technology Conference, vol. 4, pp. 2508–2512 (2005)

    Google Scholar 

  12. Vieira, P., Varela, N., Fernandes, N., Guedes, N., Varela, L., Ribeiro, N.: A SON enhanced algorithm for observed time differences based geolocation in real 3G networks. In: 16th International Symposium on Wireless Personal Multimedia Communications (WPMC), Atlantic City, USA, pp. 1–5 (2013)

    Google Scholar 

  13. Vieira, P., Silva, N., Fernandes, N., Rodrigues, A., Varela, L.: Improving accuracy for OTD based 3G geolocation in real urban, suburban environments. In: International Symposium on Wireless Personal Multimedia Communications (WPMC), Sydney, Australia, pp. 362–366 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to André Martins .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Pedro, T., Martins, A., Rodrigues, A., Vieira, P. (2017). On the Use of Load Balancing for Saving Capacity in Dual Layer 3G Radio Access Networks. In: Obaidat, M. (eds) E-Business and Telecommunications. ICETE 2016. Communications in Computer and Information Science, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-319-67876-4_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67876-4_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67875-7

  • Online ISBN: 978-3-319-67876-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics