5G | Emerging Trends
March 1, 2018

How can machine learning boost 5G and future networks? Submit your papers!

By ITU News

Smart 5G systems will enable a range of emerging technologies that have the potential to improve lives at a pace and scale not seen before. And machine learning holds great promise to optimize 5G and future networks.

This will affect ITU’s standardization work in fields such as coding algorithms; data collection, storage and management; and network management and orchestration – raising a host of important questions such as:

  • What are the distinct technical requirements of machine learning use cases in 5G and future networks with respect to network architectures, interfaces, protocols, algorithms and data formats?
  • How might we verify the compatibility of machine-learning applications in 5G networks with legacy fixed and mobile communication networks?
  • Are machine-learning capabilities and human expertise complementary? If so, how could we best go about exploiting this?
  • What might be considered appropriate technical, legal and social models to govern access to the results of applied machine learning?

These questions will be central to ITU’s 10th annual Kaleidoscope academic conference from 26-28 November in Sante Fe, Argentina.

“Kaleidoscope 2018: Machine learning for a 5G future” is the tenth in a series of peer-reviewed academic conferences organized by ITU to bring together a wide range of views from universities, industry and research institutions.

The aim of the Kaleidoscope conferences is to identify emerging developments in information and communication technologies (ICTs) and, in particular, areas in need of international standards to aid the healthy development of the Information Society.

The conference will explore promising machine-learning technologies and applications, investigating how supporting standardization could ensure widespread access to the benefits of machine learning.

Call for papers by 4 June

Kaleidoscope 2018 invites the research community to share insights into emerging applications of machine learning capable of bringing more automation and intelligence to network design, operation and management.

The conference calls for original scientific papers addressing advances in research on machine learning and artificial intelligence techniques for future communication networks, covering all aspects of network design, management, implementation and optimization.

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

Prospective authors from ITU Member States are invited to submit full, original papers with a maximum length of eight pages, including abstract and references, using the template available on the event website. Paper proposals submitted by the 4 June 2018 deadline will be evaluated according to content, originality, clarity, relevance to the conference’s theme and, in particular, significance to future standards.

To learn more about the Call for Papers, go here.

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How can machine learning boost 5G and future networks? Submit your papers!

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