Uplink-Centric DUDe for IoT and Industry 4.0

This study investigates Downlink/Uplink Decoupling (DUDe) in 5G networks, a framework that allows user equipment to select its uplink serving cell independently of the downlink anchor. This approach is designed to alleviate the “macro bias” and pathloss issues that typically degrade performance for Internet of Things (IoT) traffic. We propose a framework managed by Mobile Edge Computing (MEC) that operates on a per-Transmission Time Interval (TTI) basis, incorporating stability mechanisms such as hysteresis and Time to Trigger to prevent frequent, unnecessary handovers. The performance is evaluated using a system-level simulator across two scenarios: a high-density urban IoT deployment and an Industry 4.0 smart factory environment. Our results demonstrate that the proposed framework significantly improves uplink throughput and reduces tail latency compared to traditional coupled association methods. Furthermore, an ablation study confirms that these performance gains are derived from the structural decoupling of links, providing a scalable path for improving connectivity in 5G and beyond.

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Publication Details

Journal
Electronics
Published
2026-04-16
DOI
https://doi.org/10.3390/electronics15081680
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Uplink-Centric DUDe for IoT and Industry 4.0

Απόστολος Γκάμας, Philippos Pouyioutas, Charalampos Chatzigeorgiou, Vasileios Kokkinos et al.
Electronics
Advanced MIMO Systems Optimization
article

Uplink-Centric DUDe for IoT and Industry 4.0

Απόστολος Γκάμας, Philippos Pouyioutas, Charalampos Chatzigeorgiou, Vasileios Kokkinos, Christos Bouras
article en

Abstract

This study investigates Downlink/Uplink Decoupling (DUDe) in 5G networks, a framework that allows user equipment to select its uplink serving cell independently of the downlink anchor. This approach is designed to alleviate the “macro bias” and pathloss issues that typically degrade performance for Internet of Things (IoT) traffic. We propose a framework managed by Mobile Edge Computing (MEC) that operates on a per-Transmission Time Interval (TTI) basis, incorporating stability mechanisms such as hysteresis and Time to Trigger to prevent frequent, unnecessary handovers. The performance is evaluated using a system-level simulator across two scenarios: a high-density urban IoT deployment and an Industry 4.0 smart factory environment. Our results demonstrate that the proposed framework significantly improves uplink throughput and reduces tail latency compared to traditional coupled association methods. Furthermore, an ablation study confirms that these performance gains are derived from the structural decoupling of links, providing a scalable path for improving connectivity in 5G and beyond.

ElectronicsVol. 15(8)
University of Nicosia (CY), University of Patras (GR), University of Ioannina (GR)
Industry, innovation and infrastructure
Openalex Percentile: Top 21%
Advanced MIMO Systems Optimization
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