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| Funder | European Commission |
|---|---|
| Recipient Organization | Sabanci Universitesi |
| Country | Turkey |
| Start Date | Jun 01, 2023 |
| End Date | May 31, 2025 |
| Duration | 730 days |
| Number of Grantees | 1 |
| Roles | Coordinator |
| Data Source | European Commission |
| Grant ID | 101108094 |
The fifth and sixth generations (5G/6G) of cellular networks have to handle an unprecedented surge in data traffic, which comes as a result of the emergence of a wide range of applications, notably, the Internet of Everything, haptic internet, digital-twin, to name a few. On one hand, mobile users expect to experience high-speed and reliable wireless access at an affordable cost.
On the other hand, service providers aim at maximizing profits and are expecting cost-effective solutions from wireless industry.Increasing the capacity of the Next Generation Radio Access Network (NG-RAN) capitalizes in a part on reducing the cell sizes and the transmissions on high-frequency bands (e.g., millimeter wave) that offer small coverage.
However, these solutions call for a dense deployment of base stations, where traditionally each comes with the expenses of establishing fiber links to the core network and a site acquisition (tower lease).
The wireless industry leaders opt for developing flexible and more cost-effective NG-RAN that revolve around the dense deployment of low-cost radio access nodes with Integrated Access and Backhauling (IAB).
The wireless backhauling/fronthauling feature will ease the task of IAB nodes deployment/relocation and save in the cost of the fiber-based bakchauling network.
Although IAB is an attractive solution that could make dense deployments economically viable, efficient approaches for the optimization and management of the resulting large-scale and heterogeneous NG-RAN remain subject to investigation. Together with my supervisor Prof O.
Ercetin, I will contribute to the efforts of building cost-effective NG-RANs empowered by IAB nodes, in particular, to the automation of the deployment, operation, and fast-recovery of NG-RANs.
This project investigates two overlapping and complementing research problems: unsupervised planning and optimization of NG-RAN; and reliable backhauling/fronthauling wireless network for IAB nodes.
Sabanci Universitesi
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