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Coordinated Hyper-Parameter Search for Edge Machine Learning in Beyond-5G Networks
2021 IEEE International Conference on Communications Workshops (ICC Workshops)
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10.1109/iccworkshops50388.2021.9473506
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2021
◽
Author(s):
Hasan Farooq
◽
Julien Forgeat
◽
Shruti Bothe
◽
Maxime Bouton
◽
Meral Shirazipour
◽
...
Keyword(s):
Machine Learning
◽
5G Networks
◽
Parameter Search
Download Full-text
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Machine Learning-based Slice Management in 5G Networks for Emergency Scenarios
2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
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10.1109/eucnc/6gsummit51104.2021.9482547
◽
2021
◽
Author(s):
Apoorva Arora
◽
Toni Dimitrovski
◽
Remco Litjens
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Haibin Zhang
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Machine Learning
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5G Networks
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Forecasting Mobile Traffic to Achieve Greener 5G Networks: When Machine Learning is Key
10.1109/spawc51858.2021.9593102
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2021
◽
Author(s):
Nicola Piovesan
◽
Antonio De Domenico
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Matteo Bernabe
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David Lopez-Perez
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Harvey Baohongqiang
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...
Keyword(s):
Machine Learning
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A study on depth classification of defects by machine learning based on hyper-parameter search
Measurement
◽
10.1016/j.measurement.2021.110660
◽
2021
◽
pp. 110660
Author(s):
Haoze Chen
◽
Zhijie Zhang
◽
Wuliang Yin
◽
Chenyang Zhao
◽
Fengxiang Wang
◽
...
Keyword(s):
Machine Learning
◽
Parameter Search
◽
Depth Classification
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Audience Meter: a Use Case of Deploying Machine Learning Algorithms over 5G Networks with MEC
2020 IEEE International Conference on Consumer Electronics (ICCE)
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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
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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
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Optimal-Capacity, Shortest Path Routing in Self-Organizing 5G Networks using Machine Learning
2019 IEEE 20th Wireless and Microwave Technology Conference (WAMICON)
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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)
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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
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Towards Energy Efficient 5G Networks Using Machine Learning: Taxonomy, Research Challenges, and Future Research Directions
IEEE Access
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10.1109/access.2020.3029903
◽
2020
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Vol 8
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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
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User Allocation in 5G Networks Using Machine Learning Methods for Clustering
Advanced Information Networking and Applications - Lecture Notes in Networks and Systems
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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
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Machine learning-driven service function chain placement and scaling in MEC-enabled 5G networks
Computer Networks
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10.1016/j.comnet.2019.106980
◽
2020
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Vol 166
◽
pp. 106980
◽
Cited By ~ 5
Author(s):
Tejas Subramanya
◽
Davit Harutyunyan
◽
Roberto Riggio
Keyword(s):
Machine Learning
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5G Networks
◽
Service Function
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Service Function Chain
Download Full-text
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