Abstract
Unwanted terminations of an on-going wireless conversation become the biggest issue of the whole world. Call drop degrades the voice call quality and impacted the quality of service of the network. Researchers, industries, and telecom- vendors are bothered to improve the call quality in existing telecom infrastructure and already proposed many valuable solutions which have own pros and cons but still there is no optimized reliable solution to reduce call drop has been deployed till now. This research paper focuses on some background reasons for call drop in existing wireless infrastructure and proposed the self-optimization concept to handle the overall network issue automatically in perspective of call drops minimization in mobile networks. This Research paper proposed some robust functionality of self-optimizing network such as automatic neighbor list optimization, mobility load balancing optimization and handover optimization approach used to improve voice call quality and make a self-automated mobile network that would be fruitful to reduce call drop rate.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Telecom Regulatory Authority of India: Technical Paper on Call Drop in Cellular Networks (2016). http://www.trai.gov.in/web-123/Call-Drop/Call_Drop.pdf
Feng, S., Seidel, E.: Self-organizing networks (SON) in 3GPP long term evolution. Nomor Research GmbH, Munich, Germany, 20 May 2008
NGMN Alliance: Next generation mobile networks use cases related to self organising network, overall description, 31 May 2007
Nohrborg, M.: Self-organizing network (2017). http://www.3gpp.org/technologies/keywords-acronyms/105-son
Cisco: SON and the LTE Challenge: How to Get More for Less White Paper (2015). https://www.cisco.com/c/en/us/solutions/collateral/service-provider/son-architecture/white-paper-c11-733194.pdf
Hämäläinen, S., Sanneck, H., Sartori, C.: LTE Self-Organizing Networks (SON). ISBN 9781119970675
Nokia Siemens Networks: Self-Organizing Network (SON) Introducing the Nokia Siemens Networks SON Suite – an efficient, future-proof platform for SON. http://cwi.unik.no/images/c/c3/SON_white_paper_NSN.pdf
Dahlén, A., Johansson, A., Gunnarsson, F., Moe, J., Rimhagen, T., Kallin, H.: Evaluations of LTE automatic neighbor relations (2011). 978-1-4244-8331-0/11/$26.00 ©2011 IEEE9
Sauter, M.: From GSM to LTE an Introduction to Mobile Networks and Mobile Broadband. Wireless Moves, Germany. ISBN 978-0-470-66711-8
3GPP: Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access (E-UTRAN); Overall description; Stage 2, 3rd Generation Partnership Project (3GPP), TS 36.300, September 2008. http://www.3gpp.org/ftp/Specs/html-info/36300.htm
NEC Corporation: Self Organizing Network: “NEC’s proposals for next-generation radio network management”. White paper, February 2009
Balapuwaduge, I.A.M., Jiao, L., Pla, V.: Channel assembling with priority-based queues in cognitive radio networks: strategies and performance evaluation. IEEE Trans. Wireless Commun. 13, 630–645 (2014)
Li, X.J., Chong, P.H.J.: A dynamic channel assignment scheme for TDMA-based multihop cellular networks. IEEE Trans. Wireless Commun. 7 (2008)
Nokia buys Eden Rock for self-organizing networks (German). http://www.zdnet.de/88235891/nokia-kauft-eden-rock-fuer-self-organizing-networks/
Monica, C.H., Bhavani, K.V.L.: A bandwidth degradation technique to reduce call dropping probability in mobile network systems. Telkomnika Indones. J. Electr. Eng. 16, 303–307 (2015)
Shiokawa, S., Ishizaka, M.: Call admission scheme based on estimation of call dropping probability in wireless network (2002). 0-7803-7589-0/02/$17.00 ©2002 IEEE
Khara, S., Saha, S., Mukhopadhyay, A.K., Ghosh, C.K.: Call dropping analysis in a UMTS/WLAN integrated cell. Int. J. Inf. Technol. Knowl. Manag. 2, 411–415 (2010)
Lin, Y.-B., Mohan, S., Noerpel, A.: Queuing priority channel assignment strategies for pcs handoff and initial access. IEEE Trans. Veh. Technol. 43, 704–712 (1994)
Iraqi, Y., Boutaba, R.: Handoff and call dropping probabilities in wireless cellular networks. In: International Conference on Wireless Networks, Communications and Mobile Computing (2005)
Döttling, M., Viering, I.: Challenges in mobile network operation: towards self-optimizing networks (2009). 978-1-4244-2354-5/09/$25.00 ©2009 IEEE
Hu, H., Zhang, J., Zheng, X., Yang, Y., Wu, P.: Self-configuration and self-optimization for LTE networks. IEEE Commun. Mag. 48, 94–100 (2010)
Moysen, J., Giupponi, L.: From 4G to 5G: self-organized network management meets machine learning. arXiv:1707.09300v1 [cs.NI], 28 July 2017
Gacanin, H., Ligata, A.: Wi-Fi self-organizing networks: challenges and use cases. IEEE Commun. Mag. 55, 158–164 (2017)
SNS Research: https://www.vanillaplus.com/2016/11/28/23993-son-revenue-expected-to-grow-to-more-than-5bn-by-end-of-2020-says-sns/
Oliveira, C., Kim, J.B., Suda, T.: An adaptive bandwidth reservation scheme for high-speed multimedia wireless networks. IEEE J. Sel. Areas Commun. 16, 858–874 (1998)
Lobinger, A., Stefanski, S., Jansen, T.: Coordinating handover parameter optimization and load balancing in LTE self-optimizing networks. In: 73rd IEEE Vehicular Technology Conference (VTC Spring) (2011)
The Big Difference in Cell Phone Technology: CDMA vs. GSM. http://www.mindmygadget.com/the-big-difference-in-cell-phone-technology-cdma-vs-gsm/
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mishra, D., Mishra, A. (2019). Self-optimization in LTE: An Approach to Reduce Call Drops in Mobile Network. In: Singh, P., Paprzycki, M., Bhargava, B., Chhabra, J., Kaushal, N., Kumar, Y. (eds) Futuristic Trends in Network and Communication Technologies. FTNCT 2018. Communications in Computer and Information Science, vol 958. Springer, Singapore. https://doi.org/10.1007/978-981-13-3804-5_28
Download citation
DOI: https://doi.org/10.1007/978-981-13-3804-5_28
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-3803-8
Online ISBN: 978-981-13-3804-5
eBook Packages: Computer ScienceComputer Science (R0)