Towards addressing training data scarcity challenge in emerging radio access networks: A survey and framework
The future of cellular networks is contingent on artificial intelligence (AI) based automation,
particularly for radio access network (RAN) operation, optimization, and troubleshooting. To …
particularly for radio access network (RAN) operation, optimization, and troubleshooting. To …
A comprehensive survey on Green ICT with 5G-NB-IoT: Towards sustainable planet
Rapid advancement in ICT is promoting us into an era of unprecedented prosperity &
countless possibilities. However, there is one gloomy side of the ICT technology that …
countless possibilities. However, there is one gloomy side of the ICT technology that …
A survey of online data-driven proactive 5G network optimisation using machine learning
In the fifth-generation (5G) mobile networks, proactive network optimisation plays an
important role in meeting the exponential traffic growth, more stringent service requirements …
important role in meeting the exponential traffic growth, more stringent service requirements …
Mobile edge computing-based data-driven deep learning framework for anomaly detection
5G is anticipated to embed an artificial intelligence (AI)-empowerment to adroitly plan,
optimize and manage the highly complex network by leveraging data generated at different …
optimize and manage the highly complex network by leveraging data generated at different …
[HTML][HTML] Big data perspective and challenges in next generation networks
With the development towards the next generation cellular networks, ie, 5G, the focus has
shifted towards meeting the higher data rate requirements, potential of micro cells and …
shifted towards meeting the higher data rate requirements, potential of micro cells and …
SyntheticNET: A 3GPP compliant simulator for AI enabled 5G and beyond
The rapid evolution of cellular system design towards 5G and beyond gives rise to a need
for investigation of the new features, design proposals and solutions in realistic settings for …
for investigation of the new features, design proposals and solutions in realistic settings for …
[HTML][HTML] Mobility prediction-based optimisation and encryption of passenger traffic-flows using machine learning
Information and Communication Technology (ICT) enabled optimisation of train's passenger
traffic flows is a key consideration of transportation under Smart City planning (SCP) …
traffic flows is a key consideration of transportation under Smart City planning (SCP) …
A zero-touch network service management approach using ai-enabled cdr analysis
The detection of cells with sub-optimal performance and the identification of the root-cause
of such performance is a crucial and challenging task in Network Performance Management …
of such performance is a crucial and challenging task in Network Performance Management …
Generative adversarial learning for machine learning empowered self organizing 5G networks
In the wake of diversity of service requirements and increasing push for extreme efficiency,
adaptability propelled by machine learning (ML) aka self organizing networks (SON) is …
adaptability propelled by machine learning (ML) aka self organizing networks (SON) is …
[HTML][HTML] Mobility management-based autonomous energy-aware framework using machine learning approach in dense mobile networks
A paramount challenge of prohibiting increased CO2 emissions for network densification is
to deliver the Fifth Generation (5G) cellular capacity and connectivity demands, while …
to deliver the Fifth Generation (5G) cellular capacity and connectivity demands, while …