Robust Resource Management for Mission-Critical in-Factory Subnetworks Under External Interference

The concept of subnetworks has been recently identified as a key component of 6 G, enabling mission-critical services with hyper-reliability. In this paper, we address the challenges posed by both inter-subnetwork interference and external interference in hyper-dense and dynamic industrial environments. We focus on in-factory subnetworks for industrial wireless control applications and propose an advanced frequency-power resource allocation scheme using Gradient Descent-based Resource Allocation (GDRA). The proposed GDRA scheme efficiently mitigates interference while optimizing resource allocation. We evaluate the performance of the proposed scheme and compare it with state-of-the-art approaches, demonstrating significant improvements in spectral efficiency and reliability.

Authors

Institutions

Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174447
Citations
1
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
1.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust Resource Management for Mission-Critical in-Factory Subnetworks Under External Interference

Gilberto Berardinelli, K. Pavan Srinath, Ramoni Adeogun, Saeed Hakimi et al.
1 citations
Advanced Manufacturing and Logistics Optimization
1.24
article

Robust Resource Management for Mission-Critical in-Factory Subnetworks Under External Interference

Gilberto Berardinelli, K. Pavan Srinath, Ramoni Adeogun, Saeed Hakimi, Saeed Bagherinejad
article en
1 citations

Abstract

The concept of subnetworks has been recently identified as a key component of 6 G, enabling mission-critical services with hyper-reliability. In this paper, we address the challenges posed by both inter-subnetwork interference and external interference in hyper-dense and dynamic industrial environments. We focus on in-factory subnetworks for industrial wireless control applications and propose an advanced frequency-power resource allocation scheme using Gradient Descent-based Resource Allocation (GDRA). The proposed GDRA scheme efficiently mitigates interference while optimizing resource allocation. We evaluate the performance of the proposed scheme and compare it with state-of-the-art approaches, demonstrating significant improvements in spectral efficiency and reliability.

Nokia (France) (FR), Aalborg University (DK)
Openalex Percentile: Top 15%
Advanced Manufacturing and Logistics Optimization
1.24
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.