Concept and Methodology
The project GREENBEAT is a pioneering initiative that leverages research, collaboration, and innovation to address key challenges in Sustainable Future Communication Networks. Focused on Connecting Intelligence and Trustworthiness as pivotal research areas, GREENBEAT aims to explore and tackle open research challenges while integrating cutting-edge technologies like Artificial Intelligence (AI) and Machine Learning (ML) into communication networks. This approach is poised to revolutionize communication by enabling ubiquitous, real-time, and trustworthy connectivity across devices with diverse requirements and capabilities.


Moreover, GREENBEAT recognizes the imperative of enhancing user experience in future networks, emphasizing sustainability and trustworthiness while meeting escalating demands for data rates and capacity. By harnessing AI solutions and exploring novel technologies such as ML-aided network operations and spectrum utilization, GREENBEAT endeavors to pave the way for economically viable and sustainable deployments of 6G networks. Furthermore, the project prioritizes the security, privacy, and ethical implications of pervasive AI functionality, aiming to develop Privacy Enhancing Technologies (PETs) and mitigate adversarial attacks on AI-based systems. Through collaborative efforts and innovative approaches, GREENBEAT seeks to not only advance research and technological capabilities but also foster a culture of inclusive collaboration and green business model innovation. These efforts are underpinned by a comprehensive management framework aimed at ensuring the smooth operation, communication, and dissemination of project activities to maximize their impact.