| Ref.No: | 61520400 |
| Start date: | 02.02.2026 |
| End date: | 01.02.2028 |
| Approval date: | 12.12.2025 |
| Department: | ELECTRICAL & COMPUTER ENGINEERING |
| Sector: | COMMUNICATION, ELECTRONIC AND INFORMATION ENGINEERING |
| Financier: | 4H ΠΡΟΚΗΡΥΞΗ ΕΛΙΔΕΚ ΕΝΙΣΧΥΣΗΣ ΜΕΤΑΔΙΔΑΚΤΟΡΙΚΩΝ ΕΡΕΥΝΗΤΩΝ, ELIDEK |
| Budget: | 79.200,00 € |
| Public key: | ΨΔΤΖ46ΨΖΣ4-ΧΦ5 |
| Scientific Responsible: | Prof. PAPAVASILEIOU , MARIA DIAMANTI |
| Email: | papavassiliou@mail.ntua.gr,mdiamanti@netmode.ntua.gr |
| Description: | THE ENVISIONED LANDSCAPE FOR THE UPCOMING 6G MOBILE SYSTEMS AIMS TO STREAMLINE THREE-DIMENSIONAL (3D) NETWORKS BY SEAMLESSLY INTEGRATING AIRBORNE AND SPACEBORNE NODES EQUIPPED WITH COMMUNICATION PAYLOADS AND COMPUTING CAPABILITIES, THEREBY INTERTWINING COMMUNICATION AND COMPUTING SERVICES UBIQUITOUSLY. THIS ENDEAVOR CREATES A MULTIFACETED RESOURCE ORCHESTRATION ENVIRONMENT CHARACTERIZED BY DYNAMIC AND STOCHASTIC FACTORS, INCLUDING MOBILITY, THE STOCHASTIC SERVICE REQUEST ARRIVAL RATE, AND TIME-CORRELATED VARIABLES SUCH AS THE BATTERY ENERGY BACKUP OF INTERNET OF THINGS (IOT) DEVICES. IN THIS CONTEXT, CELESTE AIMS TO DESIGN AND INTRODUCE A HOLISTIC FRAMEWORK TO TREAT IN AN EFFICIENT AND RESILIENT MANNER THE EMERGING RESOURCE ORCHESTRATION PROBLEM IN 3D NETWORKS IN TERMS OF BOTH ALGORITHM DESIGN AND SOLUTION OUTCOME, UNDER SYSTEM UNCERTAINTIES. TO ACHIEVE ITS LONG-TERM GOAL, CELESTE TARGETS THREE DIMENSIONS: (A) THE MODELING OF STOCHASTIC AND TIME-DEPENDENT UNCERTAINTIES IN 3D NETWORKS, (B) THE DESIGN OF EFFICIENT DISTRIBUTED RESOURCE ORCHESTRATION ALGORITHMS THAT ARE RESILIENT TO THE INCOMPLETENESS OF INFORMATION AT THE DISTRIBUTED ENTITIES DUE TO SYSTEM UNCERTAINTIES, AND (C) THE EXPLORATION OF EFFICIENT AND RESILIENT OPERATIONAL POINTS FOR THE CONSIDERED LARGE-SCALE DISTRIBUTED NETWORKING ENVIRONMENT WITH VARIOUS TYPES OF UNCERTAINTIES. THE CELESTE FRAMEWORK WILL COMPRISE A NOVEL AMALGAMATE OF THEORETICAL FOUNDATIONS (E.G., STOCHASTIC GAME THEORY), DISTRIBUTED LEARNING APPROACHES (E.G., REINFORCEMENT LEARNING, NO-REGRET LEARNING), AND RESILIENT SOLUTION OUTCOMES (E.G., CORRELATED EQUILIBRIA) TO TACKLE IN A HOLISTIC MANNER JOINT RESOURCE ORCHESTRATION PROBLEMS IN 3D NETWORKS, COMBINING RADIO AND COMPUTING RESOURCES WHILE CONCLUDING UNCERTAINTY-AWARE SOLUTIONS IN A REALISTIC AND LOW-COMPLEXITY MANNER. COMPELLING 6G USE CASE SCENARIOS WILL BE CONSIDERED FOR THE PERFORMANCE EVALUATION AND VALIDATION OF THE DESIGNED FRAMEWORK. |
