ML-SWiN '21: 1st International Workshop on Machine Learning for Smart Wireless Networks Coral Bay Pafos, Cyprus, July 14-16, 2021 |
Conference website | https://ml-swin-workshop.github.io/ |
Submission link | https://easychair.org/conferences/?conf=mlswin21 |
Abstract registration deadline | May 25, 2021 |
Submission deadline | May 25, 2021 |
Acceptance notification | June 11, 2021 |
Camera Ready date (firm, no extensions) | June 18, 2021 |
Early registration | July 5, 2021 |
The conference will be co-located with DCOSS '21: International Conference on Distributed Computing in Sensor Systems.
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Authors are invited to submit original unpublished manuscripts that demonstrate current research related to ML-SWiN topics of interest.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 on the link below:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
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.
Important dates
Paper submission deadline (FIRM): | |
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Author Notification: | |
Camera-ready submission: | |
Workshop date: | TBA |
Scope
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 have been extensively used to help wireless networks meet the challenging objectives in terms of high throughput, low delay, and ubiquitous coverage, all with an increasing number of diverse users, and prospectively including humans 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.
List of Topics
We are interested in novel ML/AI theories, models, and algorithms for smart wireless systems including, but not limited to, research on the following 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
- 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
Chairs
- Filippo Malandra, University at Buffalo
- Nicholas Mastronarde, University at Buffalo
- Jacob Chakareski, New Jersey Institute of Technology
Venue
DCOSS 2021 will be held at the Coral Beach Hotel & Resort (https://coral.com.cy), a 5-star beachfront hotel in Pafos. A block of hotel rooms has been reserved for conference attendees at special prices. Updated info can be found here. This will be a virtual workshop.
Contact
All questions about submissions should be emailed to: filippom@buffalo.edu.