ML-SWiN '22: 2nd workshop on "Machine Learning for Smart Wireless Networks 2022" Marriott Hotel Marina Del Rey, LA, California, CA, United States, May 30-June 1, 2022 |
Conference website | https://ml-swin-workshop.github.io/ml-swin-workshop2022.github.io/# |
Submission link | https://easychair.org/conferences/?conf=mlswin22 |
Abstract registration deadline | April 18, 2022 |
Submission deadline | April 18, 2022 |
In the last decade, Machine Learning (ML) and Artificial Intelligence (AI) have emerged as key enablers of advanced wireless networking systems. ML and AI-based techniques are envisioned to help wireless networks meet challenging objectives in terms of high throughput, low delay, and ubiquitous coverage, all with an increasing number of diverse users, and prospectively including human-to-machine or machine-to-machine communications.
The goal of this workshop is to provide a unique platform for researchers and practitioners interested in developing new AI/ML-based techniques to address current and emerging challenges in the design and optimization of traditional and emerging wireless networks. The workshop solicits proposals for novel techniques and methods that integrate basic wireless communication and networking models into ML algorithms to improve the performance of wireless networks and their design and integrability.
Submission Guidelines
Authors are invited to submit original unpublished manuscripts that demonstrate current research related to ML-SWiN topics of interest. The limit is 8 pages double column single spacing. Please use the US letter size (8.5 X 11 in) standard IEEE conference LaTeX format or Microsoft Word template available here.
Note that ML-SWiN does not follow the double-blind review policy. The names and affiliations of all the authors must be present in the submitted manuscript.
List of Topics
- Single- and multi-agent deep reinforcement learning for network automation, control, and optimization
- Distributed ML and federated learning in edge networks
- Radio resource management in 5G C-RAN
- Green 5G and Beyond networks
- Wireless localization for UAVs
- Millimeter wave and Terahertz networks
- Network reliability
- Protocol optimization
- Spectrum sharing and coexistence
- Physical layer design and optimization
- User behavior and mobility prediction
- Emerging wireless systems and applications, such as the Internet of Things, autonomous vehicles, and virtual/augmented reality
- Low-latency machine to machine communication networks
- Datasets, experimental results, and testbeds
Committees
Program Committee
- TBD
Organizing committee
- Filippo Malandra, University at Buffalo, USA
- Nick Mastronarde, University at Buffalo, USA
- Shaofeng Zou, University at Buffalo, USA
Publication
ML-SWiN '22 proceedings will be published in IEEE Xplore.
Venue
The conference will be held at the Marriott Hotel in Marina del Rey, California, USA.
Contact
All questions about submissions should be emailed to filippom@buffalo.edu.