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Fuzzy logic-based optimised algorithm for mobility robustness and load-balancing in LTE/4G networks

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  • Tanu Goyal
  • Sakshi Kaushal
  • Arun Kumar Sangaiah

Abstract

With the development of new mobile communication system, telecom operators require planning, installation, testing, pre-post optimisation, monitoring, evaluation and mitigation of failure of network. All these are complicated tasks and require number of workers costly in nature, error-insensitive, customers' dissatisfaction, etc. 3GPP Release 8 for LTE defined self-organising network (SON) to maximise efficiency in planning, deployment and maintenance by doing operations automatically. Industry has identified load balancing and handover optimisation as two keys for self organising mechanisms in a network. Although, most effort in literature have been made for single entity SON and coordinate SON. In this paper, an algorithm-based on joint optimisation has been proposed using fuzzy logic and partial observed Markov decision process (POMDP). This algorithm optimises the key performance indicators (KPI), i.e., call block rate (CBR), call drop rate (CDR) and handover ratio (HOR) that are related to load balancing and handover optimisation. The results are numerically analysed and the proposed algorithm improves overall network performance and hence users will get better quality of service (QoS).

Suggested Citation

  • Tanu Goyal & Sakshi Kaushal & Arun Kumar Sangaiah, 2018. "Fuzzy logic-based optimised algorithm for mobility robustness and load-balancing in LTE/4G networks," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 18(4), pages 323-337.
  • Handle: RePEc:ids:ijnvor:v:18:y:2018:i:4:p:323-337
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