Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces - CEA - Commissariat à l’énergie atomique et aux énergies alternatives Accéder directement au contenu
Article Dans Une Revue EURASIP Journal on Wireless Communications and Networking Année : 2022

Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces

Résumé

In this paper, we propose a novel algorithm for energy-efficient, low-latency dynamic mobile edge computing (MEC), in the context of beyond 5G networks endowed with Reconfigurable Intelligent Surfaces (RISs). In our setting, new requests for computations are continuously generated by a set of devices and are handled through a dynamic queueing system. Building on stochastic optimization tools, we devise a dynamic learning algorithm that jointly optimizes radio resources (i.e., power, transmission rates, sleep mode and duty cycle), computation resources (i.e., CPU cycles), and RIS reflectivity parameters (i.e., phase shifts), while guaranteeing a target performance in terms of average end-to-end (E2E) delay. The proposed strategy is dynamic, since it performs a low-complexity optimization on a per-slot basis while dealing with time-varying radio channels and task arrivals, whose statistics are not known a priori. The presence and optimization of RISs helps boost the performance of dynamic MEC, thanks to the capability to shape and adapt the wireless propagation environment. Numerical results assess the performance in terms of service delay, learning, and adaptation capabilities of the proposed strategy for RIS-empowered MEC.
Fichier principal
Vignette du fichier
s13638-022-02203-6.pdf (4.95 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Licence : CC BY - Paternité

Dates et versions

cea-04564706 , version 1 (30-04-2024)

Identifiants

  • HAL Id : cea-04564706 , version 1

Citer

Paolo Di Lorenzo, Mattia Merluzzi, Emilio Calvanese Strinati, Sergio Barbarossa. Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces. EURASIP Journal on Wireless Communications and Networking, 2022, 122, pp.1-32. ⟨cea-04564706⟩
0 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More