Federating UE Resources in 6G Networks: A Crowdsourced Approach

In the context of federating 6G infrastructures and experimentation facilities, this paper presents a novel approach to integrating User Equipment (UE) computing resources into the Management and Orchestration (MANO) system of Beyond 5G (B5G) and 6G networks. Our solution enables UEs to declare their willingness to share their compute resources with the network and to receive the necessary information to join a Kubernetes cluster within the network. This integration allows for the deployment and management of containerized edge applications directly on the UEs, transforming them into active participants in a distributed computing network. This approach leverages the advanced computational capabilities of modern UEs, enhancing network flexibility, scalability, and resilience while enabling real-time, latency-sensitive applications at the extreme edge. Our solution includes a procedure designed specifically for the federated architecture being considered in the SUNRISE-6G project [9].

Authors

Institutions

Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/camad62243.2024.10942889
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Federating UE Resources in 6G Networks: A Crowdsourced Approach

Dimitrios Dimopoulos, Apostolis K. Salkintzis, Nikolaos Petropouleas
1 citations
Blockchain Technology Applications and Security
0.78
article

Federating UE Resources in 6G Networks: A Crowdsourced Approach

Dimitrios Dimopoulos, Apostolis K. Salkintzis, Nikolaos Petropouleas
article en
1 citations

Abstract

In the context of federating 6G infrastructures and experimentation facilities, this paper presents a novel approach to integrating User Equipment (UE) computing resources into the Management and Orchestration (MANO) system of Beyond 5G (B5G) and 6G networks. Our solution enables UEs to declare their willingness to share their compute resources with the network and to receive the necessary information to join a Kubernetes cluster within the network. This integration allows for the deployment and management of containerized edge applications directly on the UEs, transforming them into active participants in a distributed computing network. This approach leverages the advanced computational capabilities of modern UEs, enhancing network flexibility, scalability, and resilience while enabling real-time, latency-sensitive applications at the extreme edge. Our solution includes a procedure designed specifically for the federated architecture being considered in the SUNRISE-6G project [9].

Lenovo (China) (CN)
Openalex Percentile: Top 17%
Blockchain Technology Applications and Security
0.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Federating UE Resources in 6G Networks: A Crowdsourced Approach — Dimitrios Dimopoulos, Apostolis K. Salkintzis, et al. · (2024) | TGRS Research Map | TGRS