Performance Analysis of Self-Organizing Networks

Abstract

The capacity and coverage area of a radio network will vary due to changed environment, or malfunctioning in base stations. Suboptimal capacity and coverage area leads to the waste of network resources and the lower quality. Reacting on the changed situation manually is very expensive and time consuming. Therefore, 3GPP introduces Self-Organizing phenomenon for self-Optimization and self-healing technologies. Focus is on the self-optimization of LTE network and self-healing. A generalized framework for performance analysis of SON is presented and discussed. In order to assess the performance of optimisation as a tool for Self-healing, simulations are performed as a comparative process among SON and LTE networks. New approaches to network optimization and management is taken, by “identification of cells and equipments by the continuous monitoring, for the suboptimal ends the transmission power altered depending on the condition. It is an iterative process and monitored continuously . It can avoid human intervention and additional cost for often upgrades and downgrade of configuration”. In conclusion, found that self-healing process can be used to identify cells and user equipments and optimise network. The process show that Self-organization technology can be an effective tool to achieve optimization and reduce operational cost.

Authors and Affiliations

C. B. Nagesh

Keywords

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  • EP ID EP22463
  • DOI -
  • Views 224
  • Downloads 4

How To Cite

C. B. Nagesh (2016). Performance Analysis of Self-Organizing Networks. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(8), -. https://europub.co.uk/articles/-A-22463