Survey of technologies of self-organizing networks (SON)

  • Authors

    • Apurva Sharama punjabi university
    • Dr. Jaswinder Singh punjabi University
    2018-09-24
    https://doi.org/10.14419/ijet.v7i4.16831
  • SON, CAPEX, OPEX, MRO, EE, CCO, MLBS.
  • Abstract

    Due to increase in existing web availability, self organized systems are expected to give a quick, adaptable and cost-effective solution for satisfy the gap between limit and request/demand to adapt to the quick development in remote activity or wireless traffic. The main purpose of introducing SON algorithm is to simplify the network operations via automating repeated tasks in network operations. Hence, in SON empowered system operations, methods that hold the human administrator in manual system operations are substituted via programmed SON functions. Self organized systems or intelligent frameworks are required for remote portable systems to deal with broad number of clients in the meantime and to support the human administrator in manual system operations; that are substituted via automatic SON functions since the human administrators don't have to gather and examine the system information. Self organized networks are needed for the controlling the big challenge of mobile traffic growth and to reduce the cost efficiency. Efficient methods are required for automatic channel selection, power adjustment, and frequency assignment for autonomous interference coordination and coverage optimization.

     

  • References

    1. [1] Ali-tolppa, J. (2016), Optimistic Concurrency Control in Self-Organizing Networks Using Automatic Coordination and Verification IEEE Network Operations and Management Symposium (1): 618–624.

      [2] Agiwal, M., Roy, A .& Sexena,N.(2016) . Next Generation 5G Wireless Networks: A Comprehensive Survey. IEEE Communications Surveys & Tutorials,18(3):1617-1655. https://doi.org/10.1109/COMST.2016.2532458.

      [3] Bairagi, S., Verma, S. & Kaul, C. (2015) Review on Self Organization in Next Generation Mobile Network. International Journal of Computer Applications,114(13):29-32. https://doi.org/10.5120/20041-1848.

      [4] Bojovic, B., Meshkova, E., Baldo, N., Riihijärvi, J., & Petrova, M. (2016). Machine learning-based dynamic frequency and bandwidth allocation in Self-Organized LTE dense small cell deployments. EURASIP Journal on Wireless Communications and Networking, 2016(1): 183-199. https://doi.org/10.1186/s13638-016-0679-0.

      [5] Gupta,A. & Jha, R.K.(2015). A Survey of 5G Network: Architecture and Emerging Technologies. IEEE Access, 3(1): 1206-1232. https://doi.org/10.1109/ACCESS.2015.2461602.

      [6] Gomez Andrades, A., Barco, R.., Munoz, P., & Serrano, I. (2016). Data analytics for diagnosing the RF condition in Self-Organising Networks. IEEE Transactions on Mobile Computing, 1233(3):1–14.

      [7] Irfan, M., Sher, J., Ullah, N., Sulaiman, M., Saleem, J., & Wali, A. (2016). 5G Wireless Technology- An overview of the current Trends. International Journal of Computer Applications Technology and Research. 5(7): 489–494.

      [8] Jiang, W., Strufe , M. A SON Decision –Making Framewoek for Intelligent Manangment in 5G Mobile Networks (2017). IEEE International Conference on Computer and Communications. 1158-1162.

      [9] Kuze, N., Kominami, D., Kashima, K., Hashimoto, T., & Murata, M. (2016). Controlling Large-Scale Self-Organized Networks with Lightweight Cost for Fast Adaptation to Changing Environments. ACM Transactions on Autonomous and Adaptive Systems, 11(2), 9:1-9:25.

      [10] Lamba, M., & Dagar, M. S. (2016). Review on Self Organizing Networks ( SON ). International Journal of Science, Engineering and Technology Research, 5(5): 1320–1327.

      [11] Lateef , HY., Imran , A. & Abu-dayya (2013), A. A framework for classification of Self-Organising network conflicts and coordination algorithms. In Proceeding of IEEE conference, 2898- 2903.

      [12] Lateef,H.Y., Imran,A.&Imran,M.A(2015). LTE-advanced self-organizing network conflicts and coordination algorithms. IEEE Wireless Communications, 22(3):108-117. https://doi.org/10.1109/MWC.2015.7143333.

      [13] Liu, D., Wang, L., Chen, Y., Elkashlan, M., Wong, K. K., Schober, R., & Hanzo, L. (2016). User Association in 5G Networks:A Survey and an Outlook. IEEE Communications Surveys and Tutorials, 18(2): 1018–1044. https://doi.org/10.1109/COMST.2016.2516538.

      [14] Lohmuller, S., Schmelz, LC. & Hahn , S. Adaptiv SON Managment using KPI measurements (2016). IEEE/IFIP Network Operations and Management Symposium. 625-631.

      [15] Lyngdoh, J.,& Kalita, H.K.(2016) .A Study Of Bio-inspired Self Organizing Networks. ADBU Journal of Engineering Technology, 4(1):3-6.

      [16] Moysen, J. & Giupponi, L. (2015). Self-coordination of parameter conflicts in D-SON architectures: a Markov decision process framework. EURASIP Journal on Wireless Communications and Networking, 2015(1): 82-100. https://doi.org/10.1186/s13638-015-0312-7.

      [17] Nagesh, C. B., & Jayaramaiah, D. (2015). A Survey of Self Organizing Networks (SON). International Journal of Innovative Research in Computer and Communication Engineering, 3(4):2916–2923.

      [18] Nie, S., Wu, D., Zhao, M., Gu, X., Zhang, L., & Lu, L. (2015). An enhanced mobility state estimation based handover optimization algorithm in LTE-A self-organizing network. Elsevier:In Procedia Computer Science , 52(1): 270–277.

      [19] Panwar, N., Sharma, S.& Singh, A.K.(2015). A Survey on 5G: The Next Generation of Mobile Communication. Elsevier Physical Communication, 18:64-84. https://doi.org/10.1016/j.phycom.2015.10.006.

      [20] Satinder, & Babbar, V. (2015). 3G , 4G and 5G wireless mobile networks : A comparative study. International jpurnal of Advanced Technology in Engineerin and Science , 3(1):717–726.

      [21] Jemaa , T. & Decreusefond, L. Q-Learning for Policy Based SON Management in Wireless Access Networks(2017). IFIP/IEEE IM 2017 Workshop: 2nd International Workshop on Management of 5G Networks. 1091-1096.

      [22] Shahid, A., Aslam, S. & Sohaib , S.(2014) . A self-organized metaheuristic approach towards inter-cell interference management for LTE-Advanced. EURASIP Journal on Wireless Communications and Networking, 2014(1): 171-186. https://doi.org/10.1186/1687-1499-2014-171.

      [23] Vitthal, G.V. & Vijay,B.P(2017). 5G Future Wireless Communication Technology-A Survey. International Journal of Innovative Research in Computer and Communication Engineering,5(1):285-291.

      [24] Willemen, P., Laselva, D., Wang, Y. et al. J Wireless Com Network (2016) .SON for LTE-WLAN access network selection: design and performance. EURASIP Journal on Wireless Communication and Networking, 2016(1):230-246. https://doi.org/10.1186/s13638-016-0726-x.

      [25] Yao, H., Fang, C., Guo, Y., & Zhao, C. (2016). An Optimal Routing Algorithm in Service Customized 5G Networks. Mobile Information Systems, 2016(1):1-7.

      [26] Zhang,P.,Lu,J., Wang,Y. & Wang.Q(2017). Cooperative localization in 5G networks: A survey. ICT Express,3(1):27-32. https://doi.org/10.1016/j.icte.2017.03.005.

      [27] Kamimura, A & Tomita, K.(2017) . A Self – Organizing Network Coordination Framework Enabling Collision –Free and Congestion Less wireless Sensor Networks. Journal of Network and Computer Application,93(1):228-244. https://doi.org/10.1016/j.jnca.2017.06.002.

      [28] Jiang, W., Strufe, M. & Schotten,H(2017). A SON decision-making framework for intelligent management in 5G mobile networks. IEEE International Conference Computer and Communications (ICCC), 1158-1162.

      [29] Ouyang, Ye., Li, Z(2017). APP-SON : Application Characterstics – Driven SON to optimize 4G/5G Network Performance and Quality of Experience, IEEE International Conference on Big Data, 1514:1523.

      [30] Stepanov, M. & Stepanov, A. Criteria of accuracy and quality in intellectual self-organizing automatic control systems. Elsevier Procedia Computer Science .103: 209 – 213

      Rejeb, S. , Nasser, N., Mansour, M. & Boujlbane, M. Centralized SON function for operator optimal strategies in heterogeneous networks.Elsevier, Computer Networks.128: 14-27. https://doi.org/10.1016/j.comnet.2017.06.018

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  • How to Cite

    Sharama, A., & Jaswinder Singh, D. (2018). Survey of technologies of self-organizing networks (SON). International Journal of Engineering & Technology, 7(4), 2581-2584. https://doi.org/10.14419/ijet.v7i4.16831

    Received date: 2018-08-04

    Accepted date: 2018-08-08

    Published date: 2018-09-24