6G-SEER: Exploring Scalable, Energy-Efficient and Resilient AI-Native 6G

Wireless communication networks play a pivotal role in modern society, connecting people, devices, and digital services. While 5G networks are now widely deployed, emerging applications such as smart healthcare, autonomous transportation, intelligent infrastructure, and immersive digital experiences will require much more capable systems. Sixth-generation (6G) networks are expected to meet these needs by providing faster, more reliable, and more intelligent connectivity. However, 6G will also face major challenges, including the need to support massive numbers of devices, operate under strict energy constraints, and remain reliable in highly dynamic and complex environments. These challenges motivate the integration of artificial intelligence (AI) to enable networks that can learn, adapt, and operate with minimal human intervention.

The 6G-SEER project addresses these challenges by focusing on three essential objectives: scalability, energy efficiency, and resilience. Scalability ensures that future networks can grow and support dense populations of users and devices. Energy efficiency aims to reduce power consumption and support sustainable network operation with low-fingerprint impact. Resilience focuses on maintaining reliable communication despite disruptions, failures, or changing conditions. By exploring AI-native approaches, 6G-SEER seeks to enable self-organizing, adaptive, and robust 6G networks that can meet future societal and technological needs.

Faculty Supervisor:

Essaid Sabir

Student:

Partner:

Institut National des Postes et Télécommunications (INPT)

Discipline:

Computer science

Sector:

Education

University:

Université TÉLUQ

Program: