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International Conference on Distributed Computing in Sensor Systems (DCOSS 2022)
May 30 - June 1, 2022 Marina del Rey, CA

COVID-19 Pandemic Planning. We are optimistic the event will be held physically in LA but we are monitoring the COVID-19 pandemic evolution and a hybrid attendance format may be considered, if needed; in case of a hybrid format, every paper accepted for DCOSS 2022 (presented in person or virtually) will be published in the IEEE proceedings.


2nd DCOSS Workshop on Machine Learning for Smart Wireless Networks


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.


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
  • 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



Authors are invited to submit original unpublished manuscripts that demonstrate current research related to ML-SWiN topics of interest.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.


    Technical Program Committee
    • Gilberto Berardinelli, Aalborg Universitet, Finland
    • Luca Giovanni Gianoli, Desjardins, Montreal, Canada
    • Cong Shen, University of Virginia, USA
    • Antonio Virdis, Università di Pisa, Italy
    • Yuanzhang Xiao, University of Hawaiʻi at Mānoa, Hawaii Advanced Wireless Technologies Institute
    • Jie Xu, University of Miami, USA
    • Yi Zhou, University of Utah, USA

Important Dates

Paper submission deadline: March 15, 2022 April 5, 2022 April 18, 2022
Author Notification: April 21, 2022
Camera-ready submission: April 25, 2022
Workshop date: TBA

Workshop Program

  • TBA

Contact Us

E-mail the organizers: filippom {at} buffalo {dot} edu