Description du projet
De nouveaux modèles pour les réseaux cellulaires au-delà de la 5G/6G
Les technologies sans fil ont connu une croissance fulgurante. Il nous a fallu à peine plus de 40 ans pour passer de la 1G à la 5G, depuis l’introduction initiale de la technologie cellulaire sans fil. Avec le grand nombre actuel de nouvelles applications, on n’a jamais ressenti un tel besoin d’améliorer la connectivité à large bande. Les opérateurs mobiles s’appuyant fortement sur les réseaux cellulaires basés sur les bandes sub-6 GHz, il ne s’agit que d’une solution à court terme. Le projet RISE-MM, financé par le programme Actions Marie Skłodowska-Curie (MSCA), préparera le terrain pour les réseaux cellulaires basés sur le spectre THz pour les communications au-delà de la 5G/6G. Le projet validera les modèles de canaux et l’algorithme proposés à l’aide de simulations au niveau du système (SLS) et de plateformes d’expérimentation mmWave qui reposent sur des radios logicielles (SDR).
Objectif
The 5G mobile communication era has just started, and we are already experiencing the dominance of various new applications with enhanced broadband connectivity requirements. These requirements will become even more critical with the integration of cellular networks in different sectors of society. Conventional sub-6 GHz-based cellular networks represent a short-term solution, where available spectral opportunities are limited and will unquestionably dry up soon. To this end, RISE-MM aims to set the ground for the THz spectrum-based cellular networks. Combining the researcher's experience on reconfigurable intelligent surfaces (RIS)-enabled networks and the expertise on mmWave communication and its practical implementation of IMDEA Networks, in RISE-MM, we will develop channel models for RISE-MM communication in indoor and outdoor deployment settings. Moreover, the project aims to develop an algorithm for joint communication and sensing (JCAS) through RISE-MM using machine learning techniques.
RISE-MM aims to validate the proposed channel models and the algorithm using system-level simulations (SLS) and software-defined radios (SDR)-based mmWave experimentation platforms. It will also implement the proposed channel models using a large testbed with tens of 60 GHz off-the-shelf devices, which will provide a more realistic performance analysis for large-scale deployments to complement the SLS and SDR-based results. The practical deployment of RISE-MM will also help formulate the optimal RIS placement policy, which is a critical factor for RIS-enabled network planning.
RISE-MM is a unique scientific advance because it capitalises on communication theory, machine learning, and practical experimentation to propose new networking models to design and characterise RISE-MM communication for beyond 5G/6G cellular networks. In addition, the specifically developed JCAS algorithm can be the basis of novel developments for passive object detection and identification.
Mots‑clés
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régime de financement
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinateur
28918 Leganes (Madrid)
Espagne