Wireless Access in Ultra-Reliable Low-Latency Communication (URLLC)
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Abstract (arXiv)
The future connectivity landscape and, notably, the 5G wireless systems will feature Ultra-Reliable Low Latency Communication (URLLC). The coupling of high reliability and low latency requirements in URLLC use cases makes the wireless access design very challenging, in terms of both the protocol design and of the associated transmission techniques. This paper aims to provide a broad perspective on the fundamental tradeoffs in URLLC as well as the principles used in building access protocols. Two specific technologies are considered in the context of URLLC: massive MIMO and multi-connectivity, also termed interface diversity. The paper also touches upon the important question of the proper statistical methodology for designing and assessing extremely high reliability levels.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Oct 2018.
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Citing papers per year: 2021: 3; 2022: 2; 2023: 2; 2024: 4; 2025: 1; 2026: 1.
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- 2024Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networkscited by 9
- 2021A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memorycited by 7
- 2022Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approachcited by 7
- 2021Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Fastercited by 3
- 2024Event-Triggered Reinforcement Learning Based Joint Resource Allocation for Ultra-Reliable Low-Latency V2X Communicationscited by 3
- 2024Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channelscited by 2
- 2022BSAC-CoEx: Coexistence of URLLC and Distributed Learning Services via Device Selectioncited by 1
- 2024AI-Powered CPS-Enabled Vulnerable-User-Aware Urban Transportation Digital Twin: Methods and Applicationscited by 1
- 2026LUCID: An Agentic AI Framework on Digital-Twin in the Loop for QoS-Guaranteeing Robotic Controlcited by 1
- 2021Computer Vision Aided URLL Communications: Proactive Service Identification and Coexistencecited by 0
- 2023Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learningcited by 0
- 2023Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networkscited by 0
1 more
- 2026LUCID: An Agentic AI Framework on Digital-Twin in the Loop for QoS-Guaranteeing Robotic Control28 Aug 2026
- 2025SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator30 Oct 2025
- 2024AI-Powered CPS-Enabled Vulnerable-User-Aware Urban Transportation Digital Twin: Methods and Applications30 Dec 2024
- 2024Event-Triggered Reinforcement Learning Based Joint Resource Allocation for Ultra-Reliable Low-Latency V2X Communications18 Jul 2024
- 2024Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks7 Jun 2024
- 2024Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channels22 Apr 2024
- 2023Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks28 Aug 2023
- 2023Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learning25 Jul 2023
- 2022BSAC-CoEx: Coexistence of URLLC and Distributed Learning Services via Device Selection22 Dec 2022
- 2022Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach3 Oct 2022
- 2021Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster25 Dec 2021
- 2021A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memory2 Aug 2021
- 2024Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networkscited by 9
- 2021A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memorycited by 7
- 2022Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approachcited by 7
- 2021Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Fastercited by 3
- 2024Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channelscited by 2
- 2022BSAC-CoEx: Coexistence of URLLC and Distributed Learning Services via Device Selectioncited by 1
- 2024AI-Powered CPS-Enabled Vulnerable-User-Aware Urban Transportation Digital Twin: Methods and Applicationscited by 1
- 2021Computer Vision Aided URLL Communications: Proactive Service Identification and Coexistencecited by 0
- 2023Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learningcited by 0
- 2023Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networkscited by 0
- 2025SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimatorcited by 0
- 2025SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator30 Oct 2025
- 2024AI-Powered CPS-Enabled Vulnerable-User-Aware Urban Transportation Digital Twin: Methods and Applications30 Dec 2024
- 2024Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks7 Jun 2024
- 2024Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channels22 Apr 2024
- 2023Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks28 Aug 2023
- 2023Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learning25 Jul 2023
- 2022BSAC-CoEx: Coexistence of URLLC and Distributed Learning Services via Device Selection22 Dec 2022
- 2022Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach3 Oct 2022
- 2021Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster25 Dec 2021
- 2021A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memory2 Aug 2021
- 2021Computer Vision Aided URLL Communications: Proactive Service Identification and Coexistence18 Mar 2021