Beyond 5G (B5G) wireless systems are expected 1) to increase data rates significantly, 2) to provide ultra-low latency and enhanced connectivity of a massive number of devices, and 3) to bring improvements in network energy efficiency. Moreover, this new generation of networking systems aims to be fully Autonomous Networks (ANs) with management capabilities such as self-configuration, self-healing, self-optimizing, and self-evolving, aspects that today’s networks do not support as their management is largely manual with some automated assistance. This workshop focuses on novel research in algorithms for the management of ANs in B5G systems. More specifically, we encourage original paper submissions, which have not been published or submitted elsewhere, from academia and industry presenting novel research on the most recent advances, frameworks, models, and approaches for management of autonomous networks using enabling techniques like SDN, AI, and blockchain. We are also interested in articles revising the state-of-the-art of this topic, showing recent major advances and discoveries, significant gaps in the research, current standardization status, and new future issues.
Topics of interest include (but are not limited to):
Paper submissions must present original, unpublished research or experiences. Only original papers that have not been published or submitted for publication elsewhere can be submitted. Each submission must be written in English, accompanied by a 75 to 200 words abstract that clearly outlines the scope and contributions of the paper. There is a length limitation of 6 pages (including title, abstract, all figures, tables, and references) for regular papers, and 4 pages for short papers describing work in progress. Submissions must be in IEEE 2-column style. Self-plagiarized papers will be rejected without further review. Authors should submit their papers via JEMS:
Extended versions of the best paper(s) may be considered for fast-tracking to the Journal of Network and Systems Management (to be confirmed, https://www.springer.com/journal/10922, IF 2.026)