IEEE Consumer Communications & Networking Conference
8–11 January 2023 // Las Vegas, NV // USA

1st International Workshop on Software Defined Wireless Networks (SDWN'23)

1st International Workshop on Software Defined Wireless Networks (SDWN'23)

IMPORTANT DATES

Workshop Papers Due: 09 October 2022
Acceptance Notification: 28 October 2022
Final Camera Ready: 11 November 2022

 

Over the last decade, Software Defined Networking (SDN) has emerged as a paradigm shift in the way wired data networks are designed, operated, and managed. SDN centralised yet scalable approach has improved wired networks performance, reduced the complexity of their management, and increased innovation in this domain.

This success has inspired the adoption of SDN in wireless data networks to help address several issues such as performance optimisation and management complexity, giving rise to the research field of software defined wireless networks (SDWN). There are currently hundreds of contributions that attempt to apply this concept to different kinds of wireless communication networks and applications ranging from Wi-Fi networks to the Wireless Sensor Networks and the Internet of Things.

These contributions efforts of the SDWN research community are currently uncoordinated and at times not aligned or directed by the challenges that the communication networks industry faces. This workshop aims to bring together scientists and developers who are active in this ever-growing domain with stakeholders from the wireless communications industry. The topics discussed in this workshop are highly relevant to performance and reliability aspects in consumer networks such as Wi-Fi networks and Internet of Things and, therefore, to CCNC participants. The list of topics considered in this workshop include, but are not limited to:

  • Programmability and Virtualisation
  • Resource Optimisation and Management
  • Mobility Management
  • SDWN Architectures
  • SDWN Applications
  • SDWN Security and Security Applications
  • SDWN for 6G
  • Open-Radio Access Network (O-RAN)
  • Machine Learning Techniques in SDWNs
  • SDWNs Simulation and Testing Techniques
  • Roadmap to SDWN Adoption and Standardization

 

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