Page 9 - Proceedings of the 2018 ITU Kaleidoscope

TABLE OF CONTENTS

Page

Foreword ............................................................................................................................................. i

Chairman's Message ............................................................................................................................. iii

Committees ........................................................................................................................................... vii

Keynote Summary
Impact of Machine Learning in 5G Planning and Deployment, Hugo Miguel
(Modernization Government Secretariat, Argentina) .............................................................. xiii

Session 1: Machine Learning in Telecommunication Networks - I
S1.1 Invited Paper - A Machine Learning Management Model for QoE Enhancement
in Next Generation Wireless Ecosystems ................................................................. 9
Eva Ibarrola, Mark Davis, Camille Voisin, Ciara Close, Leire Cristobo
S1.2 Unsupervised Learning for Detection of Leakage from the HFC Network .............. 17
Emilia Gibellini, Claudio E. Righetti
S1.3 Double Sarsa Based Machine Learning to Improve Quality of Video Streaming
over HTTP Through Wireless Networks .................................................................. 25
Dhananjay Kumar, Narmathaa Logganathan, Ved P. Kafle
Session 2: Artificial Intelligence and 5G

S2.1 Self-Healing and Resilience in Future 5G Cognitive Autonomous Networks ......... 35
Janne Ali-Tolppa, Szilárd Kocsis, Benedek Schultz, Levente Bodrog, Márton Kajó

S2.2 AI as a Microservice (AIMS) over 5G Networks ..................................................... 43
Gyu Myoung Lee, Tai-Won Um, Jun Kyun Choi
S2.3 Multifractal Modeling of the Radio Electric Spectrum Applied in Cognitive Radio
Networks ................................................................................................................... 50
Luis Tuberquia-David, Cesar Hernández
S2.4 Towards Cognitive Autonomous Network in 5G ..................................................... 56
Stephen S. Mwanje, Christian Mannweiler

Session 3: Machine Learning in Telecommunication Networks - II
S3.1 Invited Paper - Machine Learning Opportunities in Cloud Computing Data
Center Management for 5G Services ........................................................................ 67
Fabio López-Pires, Benjamín Barán
S3.2 Consideration on Automation of 5G Network Slicing with Machine Learning ....... 73
Ved P. Kafle, Yusuke Fukushima, Pedro Martinez-Julia, Takaya Miyazawa

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