Projects
MAORI-1
The project is focused on future b5G/6G networks, which are expected to be characterized by several major innovations compared to previous generations. As part of the coordinated MAORI project, MAORI-1 is related to innovations in the radio interface, specifically the introduction of new techniques that significantly extend the limits of current technology through the use of higher frequency bands (mmWave, THz) and new deployment schemes (cell-free, device-free, reconfigurable intelligent antennas...). This radio environment will present enormous challenges and the need for entirely new approaches to classical management tasks, such as mobility optimization and resource allocation. MAORI-1 will address the innovations related to the radio interface environment that come with b5G/6G networks to develop advanced optimization algorithms and fault management. Predictions and contextual information will be essential to improve these methods.
MAORI-1 will focus on intelligent network management at the radio interface. The increase in the number of features that b5G/6G offer in the RAN, the different types of services, and the need for coexistence with various technologies necessitate intelligent autonomous network management. AI and ML technologies can help automate these management tasks, such as:
- Performance Optimization: Adjustment of configuration parameters related to different features such as mobility, resource allocation, coverage, and capacity, among others.
- Radio Fault Management: Detection and recovery from issues caused by internal factors (e.g., configuration errors or network element failures) or external factors (e.g., abnormal traffic spikes, interference, etc.). Effective fault management is required to maintain high reliability and detect deviations that prevent achieving the required quality of service levels.
- Use of Predictions and Contextual Information: Contextual information, such as user location, can be used to enhance intelligent network management. Predictions also provide important information that allows for the development of advanced proactive optimization methods and fault management.
The novel topics addressed in this work ensure the interest of the academic and research communities in the project results. Additionally, MAORI-1 will not only create new jobs directly related to the project but also improve the knowledge of all participants to increase competitiveness in the mobile network sector. Finally, the methods developed in MAORI-1 will contribute to building new networks that provide a better user experience and new services.