AI-ENABLED NETWORK ORCHESTRATION: DESIGN CHALLENGES AND OPPORTUNITIES FOR 6G NETWORKS
Welcome to Workshop "AI-Enabled Network Orchestration: Design Challenges and Opportunities for 6G Networks".
SCOPE
The need for higher capacity is always in the agenda of new generations of wireless communication networks, since both the number of users and the demand for more bandwidth have been rising. However, when it comes to 5G and 6G wireless communication networks, higher capacity provision is more crucial since emerging applications, including tactile internet, 4K video streaming, online gaming, metaverse use-cases, etc., are quite bandwidth-hungry on the scale that has never been experienced in the legacy networks. Moreover, as internet of things (IoT) and massive machine-type communications (mMTC) have started to be pervasive over the last couple of years and are expected to be more highlighted in the near future, the number of connected devices increases exponentially, making the scenario even severer. In summary, 6G networks are expected to deal with: i) an unprecedented surge in the number of connected devices; ii) a drastic increase in the bandwidth requirements of emerging technologies.
There are many technologies proposed in the literature for mitigating the capacity demand for 6G networks; for example, THz communications, faster-than-Nyquist signalling, network densification, massive MIMO systems, to name a few. However, they all have potential to introduce their own challenges, including energy efficiency, mobility management, interference management, security, etc. In this regard, artificial intelligence (AI) is expected to play a vital role in tackling the challenges of new technologies. It is noteworthy to mention that AI is foreseen to be at the heart of 6G networks due to multiple reasons. First, experience is generated with the use of AI, and therefore the dynamism in wireless communication networks can be well taken care of. Second, unlike most optimization tools, when designed properly, there would be no need for a prior knowledge about the model of the optimization environment. Third, especially with IoT, huge volume of data becomes available, making the integration of AI more feasible. With this Workshop, it is aimed to focus the research interest on the AI integration in upcoming wireless communication networks and showcase how AI is capable of solving the inherent problems of above-mentioned enabling technologies.
TOPICS
In this Workshop, original research papers and reviews are welcome, and research areas including (but not limited to) the following:
- THz communications and its applications,
- IRS-based range extension in 6G networks,
- NTN systems-based capacity enhancement and range extension,
- Faster-than-Nyquist signalling for wireless communications,
- The assistance of visible light communications in 6G networks,
- The role of context-aware networking in wireless communication networks,
- Green communication,
- Mobility management in 6G networks,
- IoT and wireless sensor network orchestration with AI,
- V2I, V2V, and V2X communications with AI assistance,
- AI integration in visible light communications,
- Utilization of federated learning, deep learning, deep reinforcement learning in capacity enhancement purposes.
IMPORTANT DATES
- Workshop Paper Submission Deadline:
4 January 202313 January 2023 - Paper Notification Deadline: 20 January 2023
- Final Paper Submission Deadline: 31 January 2023
WORKSHOP CO-CHAIRS
- Dr. Sajjad Hussain, Reader, University of Glasgow, United Kingdom
- Dr. Metin Ozturk, Assistant Professor, Ankara Yıldırım Beyazıt University, Türkiye
