An Efficient Approach for Capacity Savings using Load Balancing in Dual Layer 3G Wireless Networks

Tiago Pedro, André Martins, Antonio Rodrigues, Pedro Vieira

Abstract

In order to survive in a highly competitive market, mobile network operators have to be as efficient as possible in managing their resources. This is particularly relevant in what concerns the capacity available at their sites. This work aims to give the operators a method to improve longevity of their sites. This was achieved using a Load Balancing algorithm, which takes into consideration the Channel Element usage of sites and sets an Received Signal Code Power 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 used input data consisted of real traffic statistics, including geo-located indicators. During the course of this work it was possible to develop a semi-automatic method for network optimization using geo-located data, thus making a contribute to the development of national 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 suggested method it is predicted that, after a year of implementation, it is possible to achieve savings of about 70% in capacity expansions in the network.

References

  1. (2014). Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 20142019 [White Paper]. Technical report, Cisco.
  2. (2015). Ericsson Mobility Report [White Paper]. Technical report, Ericsson.
  3. Cunha, T., Martins, A., Vieira, P., Rodrigues, A., Silva, N., and Varela, L. (2015). Energy Savings in 3G Using Dynamic Spectrum Access and Base Station Sleep Modes. In URSI Atlantic Radio Science Conference (URSI AT-RASC), Maspalomas, Spain.
  4. Dawoud, S., Uzun, A., Gondor, S., and Kupper, A. (2014). Optimizing the Power Consumption of Mobile Networks based on Traffic Prediction. In 38th Annual International Computers, Software and Applications Conference, pages 279-288, Västera°s, Sweden.
  5. Li, J., Fan, C., Yang, D., and Gu, J. (2005). UMTS Soft Handover Algorithm with Adaptive Thresholds for Load Balancing. In IEEE 62nd Vehicular Technology Conference, volume 4, pages 2508-2512.
  6. Li, R., Zhao, Z., Zhou, X., and Palicot, J. (2014). The Prediction Analysis of Cellular Radio Access Network Traffic: from Entropy Theory to Networking Practice. IEEE Communications Magazine, 52(6):234-240.
  7. Northcote, B. (2014). TEMS Capacity Manager: CostEfficient Mobile Network Dimensioning [White Paper]. Technical report, Ascom.
  8. Ramiro, J. and Hamied, K. (2012). Self-Organizing Networks: Self-Planning, Self-Optimization and SelfHealing for GSM, UMTS and LTE. John Wiley & Sons, Ltd, first edition.
  9. Vieira, P., Silva, N., Fernandes, N., Rodrigues, A., and Varela, L. (2014). Improving Accuracy for OTD Based 3G Geolocation in Real Urban/Suburban Environments. In 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), pages 362-366, Sydney, Australia.
  10. Vieira, P., Varela, N., Fernandes, N., Guedes, N., Varela, L., and Ribeiro, N. (2013). A SON Enhanced Algorithm for Observed Time Differences Based Geolocation in Real 3G Networks. In 16th International Symposium on Wireless Personal Multimedia Communications (WPMC), pages 1-5, Atlantic City, USA.
  11. Yu, Y., Song, M., Fu, Y., and Song, J. (2013). Traffic Prediction in 3G Mobile Networks Based on Multifractal Exploration. Tsinghua Science and Technology, 18(4):398-405.
  12. Yu, Y., Wang, J., Song, M., and Song, J. (2010). Network Traffic Prediction and Result Analysis Based on Seasonal ARIMA and Correlation Coefficient. In International Conference on Intelligent System Design and Engineering Application (ISDEA), pages 980- 983, Changsha, China.
Download


Paper Citation


in Harvard Style

Pedro T., Martins A., Rodrigues A. and Vieira P. (2016). An Efficient Approach for Capacity Savings using Load Balancing in Dual Layer 3G Wireless Networks . In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 6: WINSYS, (ICETE 2016) ISBN 978-989-758-196-0, pages 63-73. DOI: 10.5220/0005971000630073


in Bibtex Style

@conference{winsys16,
author={Tiago Pedro and André Martins and Antonio Rodrigues and Pedro Vieira},
title={An Efficient Approach for Capacity Savings using Load Balancing in Dual Layer 3G Wireless Networks},
booktitle={Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 6: WINSYS, (ICETE 2016)},
year={2016},
pages={63-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005971000630073},
isbn={978-989-758-196-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 6: WINSYS, (ICETE 2016)
TI - An Efficient Approach for Capacity Savings using Load Balancing in Dual Layer 3G Wireless Networks
SN - 978-989-758-196-0
AU - Pedro T.
AU - Martins A.
AU - Rodrigues A.
AU - Vieira P.
PY - 2016
SP - 63
EP - 73
DO - 10.5220/0005971000630073