First Workshop on
AI-enabled and Data-Driven Elastic Networks (AIDEN)
held in conjunction with WCNC2020
6-9 April 2020, Seoul, South Korea
This year is marked with the launch of the first commercial 5G networks worldwide, at the same time, the industry has started defining the following 6G specifications. Network users’ need for data and speed are insatiable and the disruptive spread of IoT devices is escalating the contention for network resources. Indeed, the exponential growth of wireless network traffic has been the prime concern of researchers who are designing next generation networks. However, the predominant characteristics of next generation networks are the increasing diversity of connected devices, their disparate capabilities, limitations, and requirements in addition to the plethora of applications running on each type of device and their particular stipulated quality expectations. This extensive diversity in network users presents an unseen challenge in service provisioning which necessitates a shift in network design from the traditional network-centric approach to a dynamic device-centric and context-aware approach. The recent successes of artificial intelligence (AI) and big data adoption in network management offer a promising route towards enabling such agility and user-centricity in the network design and operation, which continuously self-adjust in an elastic manner and stretches according to the traffic demands. Elastic networks are amorphous by nature and may be composed of one or more radio access technologies. These would employ advanced data-driven AI techniques to dynamically reshape in order to meet the changing expectations in an end-to-end fashion that accounts for the radio, backhaul, and core network resources. Reshaping may be done through one or a combination of radio access parameter optimisation, dynamic routing, self-optimisation of antenna setting, spectrum allocation, power distribution, backhaul multi-hopping, UAV positioning, and many more.
- Final Extended Paper Submission Deadline: January 12, 2020
- Paper Acceptance Notification: January 31, 2020
- Camera-Ready: February 15, 2020