Call for papers
Nowadays multiple wireless networks coexist in unlicensed spectra, relying on access nodes that belong to multiple technologies and with mobile devices equipped with wireless interfaces from multiple technologies. Furthermore, each wireless technology includes a number of complex features to be optimized. In this setting, advanced handling of complex features, such as resource allocation or link selection to name a few, is likely expected to help in the optimization, deployment, and management stages. AI/ML-assisted methodologies likely will help to address the joint optimization of multiple features also in scenarios in which multiple technologies coexist in unlicensed spectra. The workshop covers the methodological aspects, including AI/ML-assisted wireless network deployment and management, for the optimization of wireless networks, advanced tools, and the integration of tools for proper modeling and evaluation of complex wireless networks.

The workshop seeks regular papers from research centers and academia for demonstrations of novel work and work-in-progress in the context of AI/ML-assisted optimization strategies of complex wireless networks deployment and management, advanced tools, and integration of multiple tools/approaches for proper modeling and evaluation of complex coexisting wireless networks. Additionally, the workshop seeks talks on very early-stage research or in tutorial style on advanced tools.

Topics: include (but are not limited to) AI/ML for wireless network resource allocation, e.g. AI/ML assisted MU/OFDMA scheduling, QoE/QoS management in wireless networks,e.g, link selection in multi-link/multiple-interface devices, Energy management of mobile devices, e.g. AI/ML assisted environment-aware tuning of energy management frameworks such as TWT in Wi-Fi, Cellular and Wi-Fi networks coexistence, modeling and performance evaluation through simulation, emulation and experimentation of wireless network complex deployments, e.g. dense scenarios with multiple or next-generation wireless technologies.

Submission guideline
Authors are invited to submit original contributions that have not been published or submitted for publication elsewhere. Papers should be prepared using the IEEE 2-column conference style and are limited to 7 pages including references (regular papers) or 4 pages including references (short papers). Papers must be submitted electronically in PDF format through EDAS: https://edas.info/newPaper.php?c=32709

Papers accepted and presented at WNDM will be submitted for possible inclusion in IEEE Xplore. To be published in the Workshop Proceedings and to be eligible for publication, at least one author of an accepted paper is required to register and present the paper at the workshop.