Machine Learning and Cognitive Networking

Dear Colleagues,

The rapid progress of cloud with high bitrate requirements substantially affects transport networks. To overcome the issue of capacity crunch in transport networks, new cognitive models need to be developed. These new models are needed to extract valuable information from a comprehensive set of network data. A cognitive network utilizes advanced analytical solutions from several research areas (i.e., deep learning, data analytics, knowledge representation, telecommunication, network management) to solve modern problems in communication networks. The cognitive processes, which learn or use historical data to improve performance, apply various data analytics solutions typically utilizing machine learning techniques. In particular, data analytics (DA), machine learning (ML), and deep learning (DL) concepts are regarded as promising methodological areas to enable cognitive network data analysis; thus enabling, for example, automatized network self-configuration and fault management.

This Special Issue solicits the submission of high-quality and unpublished papers that aim to solve open technical problems and challenges related to cognitive networking. Both theoretical and experimental studies are encouraged, as well as high-quality review and survey papers.

Dr. Michał Aibin
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Telecom is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.