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Orientador(es)
Resumo(s)
With the increasing complexity of current networks, it became evident the need for Self-Organizing Networks (SON), which aims to automate most of the associated radio planning and optimization tasks. Within SON, this paper aims to optimize the Neighbour Cell List (NCL) for Long Term Evolution (LTE) evolved NodeBs (eNBs). An algorithm composed by three decisions were were developed: distance-based, Radio Frequency (RF) measurement-based and Handover (HO) stats-based. The distance-based decision, proposes a new NCL taking account the eNB location and interference tiers, based in the quadrants method. The last two algorithms consider signal strength measurements and HO statistics, respectively; they also define a ranking to each eNB and neighbour relation addition/removal based on user defined constraints. The algorithms were developed and implemented over an already existent radio network optimization professional tool. Several case studies were produced using real data from a Portuguese LTE mobile operator. © 2014 IEEE.
Descrição
Palavras-chave
LTE Neighbour cell list Optimization Self-organizing networks Wireless communications
Contexto Educativo
Citação
DUARTE, David Eduardo Correia; [et al] – Neighbour list optimization for real LTE radio networks. In IEEE Asia Pacific Conference on Wireless and Mobile. New York : IEEE - Institute of Electrical and Electronics Engineers Inc., 2014, pp. 183-187.
Editora
IEEE - Institute of Electrical and Electronics Engineers Inc.