IEEE International Conference on Computer Communications
20–23 May 2024 // Vancouver, Canada

The Second DeepWireless Workshop: Deep Learning for Wireless Communications, Sensing, and Security - Call for Papers

The Second DeepWireless Workshop: Deep Learning for Wireless Communications, Sensing, and Security (DeepWireless 2024)

Organized in conjunction with

IEEE International Conference on Computer Communications, May 20, 2024

 

CALL FOR PAPERS        COMMITTEE

 

Deep learning has transformed many areas including the wireless domain. It has significantly unlocked the performance of wireless system design, wireless sensing, and wireless security.

This workshop aims to bring together practitioners and researchers from both academia and industry for discussion and technical presentations on fundamental and practically relevant questions related to many challenges arising from deep learning for wireless communications, sensing, and security. It also aims to provide the industry with fresh insight into the development of deep learning applications in wireless communication and networks. In line with such objectives, original contributions are solicited on topics of interest to include, but not limited to, the following:

  • Deep learning for signal detection
  • Deep learning for channel modeling, estimation, and prediction
  • Deep learning for resource optimization
  • Deep learning-based signal classification (including technology classification and modulation recognition)
  • Deep learning-based wireless sensing (including WiFi, mmWave radar, LoRa, RFID, etc)
  • Deep learning for wireless localization and positioning
  • Deep learning for wireless security
  • Deep learning-based radio frequency fingerprint identification
  • Deep learning for physical layer security
  • Deep learning for network traffic analysis
  • Explainable artificial intelligence for deep learning-based wireless communications, sensing, and security
  • Cross-domain and cross-modal learning for wireless communications, sensing, and security
  • Large language models or foundation models for wireless communications, sensing, and security
  • Generative AI for wireless communications, sensing, and security
  • Edge AI for wireless communications, sensing, and security
  • Deep learning for emerging communication applications including intelligent reflection surface, semantic communication, unmanned aerial vehicles, satellites, and digital twins
  • Deep learning for new Internet of things applications
  • Deep Learning for integrated sensing and communications (ISAC)
  • Adversarial attacks and defenses on deep learning-based wireless communication, sensing, and security

 

Submission Instruction:

We call for original and unpublished papers, which must be formatted in the standard IEEE two-column format that is used by the INFOCOM 2024 main conference, and must not exceed six pages in length (including references). All submitted papers will go through a strict peer review process, and all accepted papers that are presented by one of the authors at the workshop will be published in the IEEE INFOCOM 2024 workshop proceedings and IEEE Xplore. Please submit your papers in PDF format via  https://edas.info/N31769 

 

Important Dates:

Submission Deadline: December 19, 2023 January 12, 2024

Notification of Acceptance: February 5, 2024

Camera Ready: March 5, 2024

Workshop: May 20, 2024

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