ITU-T Standards | Standards
November 27, 2018

Kaleidoscope 2018: Highlights from Day 1

By ITU News

“In Kaleidoscope, the new ITU Journal and initiatives such as our Focus Group on machine learning for 5G, the research community is helping ITU to see further into the future,” says Chaesub Lee, Director of the ITU Telecommunication Standardization Bureau.

Dr Lee was speaking at the opening ceremony of Kaleidoscope 2018: Machine Learning for 5G Future in Santa Fe, Argentina, 26-28 November, hosted by the Universidad Tecnológica Nacional.

Kaleidoscope is ITU’s flagship academic event. Now in its tenth edition, the conference identifies emerging trends in ICT research and associated implications for international standardization.

The first day of Kaleidoscope 2018 featured a keynote address exploring the impact of Machine Learning on 5G planning and deployment in the Americas. See presentation.

The first of three Kaleidoscope 2018 tutorials discussed the opportunities as well as risks attached to Artificial Intelligence, highlighting transparency, security and trust among the key challenges to be overcome to ensure that Artificial Intelligence proves a force for good.

For media coverage of Kaleidoscope 2018 in Spanish, see El Litoral, Santa Fe Government Portal and Diario la Opinion.

Highlights from Day 1 presentations of academic papers

Big Data analytics and Machine Learning are expected to play a key role in enhancing quality of experience in next-generation wireless ecosystems. See presentation.

Experiments with double SARSA-based Machine Learning are demonstrating considerable improvements in the quality of video streaming over 4G wireless networks. See presentation.

In a deep dive into the concept of ‘5G Cognitive Autonomous Networks’, presentations shared research into self-healing, resilient future networks (see presentation) and multifractal modeling of the radio electric spectrum (see presentation).

This same deep dive presented an architecture to support Artificial Intelligence ‘micro-services’, autonomous units of intelligence at 5G network edges designed to support applications in need of real-time processing and ultra-low latency. See presentation.

Kaleidoscope, Machine Learning and ITU

Machine Learning is supporting the smarter use of network-generated data, enabling network operators and service providers to adapt to changes in traffic patterns, security risks and user behaviour.

The topic is gaining a larger share of the ITU standardization work programme in fields such as coding algorithms; data processing and management; and network management and orchestration.

Authors of outstanding Kaleidoscope papers will be invited to contribute to the work of the ITU Focus Group on ‘Machine Learning for Future Networks including 5G’.

Kaleidoscope events are peer-reviewed academic conferences that increase dialogue between academics and ICT standardization experts.

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Kaleidoscope 2018: Highlights from Day 1

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