As we all know, one of the basic challenges in wireless system design is to manage and allocate resources to meet the traffic demand under difficult conditions. The future network will have the ability of self-learning and self-adaptive, so as to meet the requirements of user equipment, wireless conditions and traffic characteristics generated by various applications. By learning and predicting the past behaviour patterns, output results and behaviours of similar entities on the unified network or other networks, the decision quality of the network will continue to improve. How to apply AI algorithm to communication network effectively will be the interest of MLICOM 2020.

We welcome both theoretical and experimental papers. We expect the papers of the conference to serve as valuable references for a large audience from both academia and industry Both original, unpublished contributions and survey/tutorial types of articles are encouraged. Submissions should be in English, following the Springer formatting guidelines (see Submission). 

All registered papers will be submitted for publication by Springer and made available through SpringerLink Digital Library, one of the world’s largest scientific libraries

Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected best accepted and presented papers will be invited to submit an extended version to

• Wireless Networks (WINET) Journal (IF: 2.405)
• Mobile Networks and Applications (MONET) Journal (IF=2.390)

All accepted authors are eligible to submit an extended version in a fast track of:

• EAI Endorsed Transactions on Collaborative Computing
• EAI Endorsed Transactions on Creative Technologies

Additional publication opportunities:

• EAI/Springer Innovations in Communications and Computing Book Series