Forecasting Mobile Traffic to Achieve Greener 5G Networks: When Machine Learning is Key

Mapping Intimacies ◽

10.1109/spawc51858.2021.9593102 ◽

2021 ◽

Author(s):

Nicola Piovesan ◽

Antonio De Domenico ◽

Matteo Bernabe ◽

David Lopez-Perez ◽

Harvey Baohongqiang ◽

...

Keyword(s):

Machine Learning ◽

5G Networks

Download Full-text

Machine Learning-based Slice Management in 5G Networks for Emergency Scenarios

2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) ◽

10.1109/eucnc/6gsummit51104.2021.9482547 ◽

2021 ◽

Author(s):

Apoorva Arora ◽

Toni Dimitrovski ◽

Remco Litjens ◽

Haibin Zhang

Keyword(s):

Machine Learning ◽

5G Networks ◽

Emergency Scenarios

Download Full-text

Audience Meter: a Use Case of Deploying Machine Learning Algorithms over 5G Networks with MEC

2020 IEEE International Conference on Consumer Electronics (ICCE) ◽

10.1109/icce46568.2020.9042980 ◽

2020 ◽

Author(s):

Ester Gonzalez-Sosa ◽

Ignacio Frontelo-Benito ◽

Redouane Kachach ◽

Pablo Perez ◽

Jaime Jesus Ruiz ◽

...

Keyword(s):

Machine Learning ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Use Case ◽

5G Networks

Download Full-text

Machine Learning Methods for Slice Admission in 5G Networks

2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC) ◽

10.23919/ps.2019.8817990 ◽

2019 ◽

Cited By ~ 1

Author(s):

Muhammad Rehan Raza ◽

Carlos Natalino ◽

Lena Wosinska ◽

Paolo Monti

Keyword(s):

Machine Learning ◽

5G Networks ◽

Learning Methods ◽

Machine Learning Methods

Download Full-text

Optimal-Capacity, Shortest Path Routing in Self-Organizing 5G Networks using Machine Learning

2019 IEEE 20th Wireless and Microwave Technology Conference (WAMICON) ◽

10.1109/wamicon.2019.8765434 ◽

2019 ◽

Cited By ~ 3

Author(s):

Chetana V. Murudkar ◽

Richard D. Gitlin

Keyword(s):

Machine Learning ◽

Shortest Path ◽

5G Networks ◽

Shortest Path Routing ◽

Optimal Capacity ◽

Self Organizing

Download Full-text

Machine Learning Based Context-Predictive Car-to-Cloud Communication Using Multi-Layer Connectivity Maps for Upcoming 5G Networks

2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) ◽

10.1109/vtcfall.2018.8690856 ◽

2018 ◽

Cited By ~ 10

Author(s):

Benjamin Sliwa ◽

Robert Falkenberg ◽

Thomas Liebig ◽

Johannes Pillmann ◽

Christian Wietfeld

Keyword(s):

Machine Learning ◽

5G Networks

Download Full-text

Towards Energy Efficient 5G Networks Using Machine Learning: Taxonomy, Research Challenges, and Future Research Directions

IEEE Access ◽

10.1109/access.2020.3029903 ◽

2020 ◽

Vol 8 ◽

pp. 187498-187522

Author(s):

Amna Mughees ◽

Mohammad Tahir ◽

Muhammad Aman Sheikh ◽

Abdul Ahad

Keyword(s):

Machine Learning ◽

Energy Efficient ◽

Future Research ◽

5G Networks ◽

Research Directions ◽

Research Challenges ◽

Future Research Directions

Download Full-text

Coordinated Hyper-Parameter Search for Edge Machine Learning in Beyond-5G Networks

2021 IEEE International Conference on Communications Workshops (ICC Workshops) ◽

10.1109/iccworkshops50388.2021.9473506 ◽

2021 ◽

Author(s):

Hasan Farooq ◽

Julien Forgeat ◽

Shruti Bothe ◽

Maxime Bouton ◽

Meral Shirazipour ◽

...

Keyword(s):

Machine Learning ◽

5G Networks ◽

Parameter Search

Download Full-text

User Allocation in 5G Networks Using Machine Learning Methods for Clustering

Advanced Information Networking and Applications - Lecture Notes in Networks and Systems ◽

10.1007/978-3-030-75100-5_2 ◽

2021 ◽

pp. 13-24

Author(s):

Christos Bouras ◽

Rafail Kalogeropoulos

Keyword(s):

Machine Learning ◽

5G Networks ◽

Learning Methods ◽

Machine Learning Methods

Download Full-text

Machine learning-driven service function chain placement and scaling in MEC-enabled 5G networks

Computer Networks ◽

10.1016/j.comnet.2019.106980 ◽

2020 ◽

Vol 166 ◽

pp. 106980 ◽

Cited By ~ 5

Author(s):

Tejas Subramanya ◽

Davit Harutyunyan ◽

Roberto Riggio

Keyword(s):

Machine Learning ◽

5G Networks ◽

Service Function ◽

Service Function Chain

Download Full-text

Channel stability prediction to optimize signaling overhead in 5G networks using machine learning

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) ◽

10.1109/icc40277.2020.9149048 ◽

2020 ◽

Author(s):

Sihem Bakri ◽

Maha Bouaziz ◽

Pantelis A. Frangoudis ◽

Adlen Ksentini

Keyword(s):

Machine Learning ◽

Stability Prediction ◽

5G Networks ◽

Channel Stability ◽

Signaling Overhead

Download Full-text