Impact of SON function combinations on the KPI behaviour in realistic mobile network scenarios
Autor: | Soren Hahn, Thomas Kurner, Michael Schweins |
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Rok vydání: | 2018 |
Předmět: |
Computer science
business.industry media_common.quotation_subject Distributed computing 05 social sciences 050801 communication & media studies 020206 networking & telecommunications Self-organizing network 02 engineering and technology GeneralLiterature_MISCELLANEOUS 0508 media and communications Handover 0202 electrical engineering electronic engineering information engineering Cellular network Task analysis Network performance Function (engineering) business Mobile network operator media_common |
Zdroj: | WCNC Workshops |
DOI: | 10.1109/wcncw.2018.8368974 |
Popis: | Self-Organising Network (SON) functions cover a plethora of use cases, each addressing a different (self-optimisation) task reducing the manual work of the Mobile Network Operator (MNO). A combined SON operation, with numerous SON functions running in parallel, might lead to an undesired network performance due to unforeseen coherencies of parameter changes. In order to gain a greater understanding of the interworking of SON functions, well-known SON use cases are tested with different combinations in a realistic multi-layer, multi-RAT scenario. Results show that a substantial impact on the network performance can be observed for different SON function combinations. Furthermore, the effects also differ if multiple context classes of cells (i.e. different sizes, locations, mobility types) are considered. |
Databáze: | OpenAIRE |
Externí odkaz: |