Predicting inter-frequency measurements in an LTE network using supervised machine learning : a comparative study of learning algorithms and data processing techniques
With increasing demands on network reliability and speed, network suppliers need to effectivize their communications algorithms. Frequency measurements are a core part of mobile network communications, increasing their effectiveness would increase the effectiveness of many network processes such as...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Institutionen för datavetenskap
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148553 |