most citedDeepAuto: A Hierarchical Deep Learning Framework for Real-Time Prediction in Cellular Networks

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

eess.SP2019★ 4 cited

DeepAuto: A Hierarchical Deep Learning Framework for Real-Time Prediction in Cellular Networks

Abhijeet Bhorkar, Ke Zhang, Jin Wang

Accurate real-time forecasting of key performance indicators (KPIs) is an essential requirement for various LTE/5G radio access network (RAN) automation. However, an accurate predi…

cs.NI2016

Licensed-Assisted Access to Unlicensed Spectrum in LTE Release 13

Hwan-Joon, Kwon, Jeongho Jeon +10

Exploiting the unlicensed spectrum is considered by 3GPP as one promising solution to meet the ever-increasing traffic growth. As a result, one major enhancement for LTE in Release…