Time Synchronization in 5G Wireless Edge: Requirements and Solutions for Critical-MTC
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Abstract (arXiv)
Wireless edge is about distributing intelligence to the wireless devices wherein the distribution of accurate time reference is essential for time-critical machine-type communication (cMTC). In 5G-based cMTC, enabling time synchronization in the wireless edge means moving beyond the current synchronization needs and solutions in 5G radio access. In this article, we analyze the device-level synchronization needs of potential cMTC applications: industrial automation, power distribution, vehicular communication, and live audio/video production. We present an over-the-air (OTA) synchronization scheme comprised of 5G air interface parameters, and discuss their associated timing errors. We evaluate the estimation error in device-to-base station propagation delay from timing advance (TA) under random errors and show how to reduce the estimation error. In the end, we identify the random errors specific to dense multipath fading environments and discuss countermeasures.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Jun 2019.
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Citing papers per year: 2022: 2; 2023: 3; 2024: 1; 2025: 1.
7 papers.
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- 2024A Survey on Integrated Sensing, Communication, and Computationcited by 12
- 2023Over-the-Air Federated Learning and Optimizationcited by 10
- 2023Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimizationcited by 7
- 2025Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processingcited by 3
- 2023Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networkscited by 2
- 2025Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing3 Dec 2025
- 2024A Survey on Integrated Sensing, Communication, and Computation15 Aug 2024
- 2023Over-the-Air Federated Learning and Optimization16 Oct 2023
- 2023Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization4 May 2023
- 2023Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks16 Feb 2023
- 2022Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks6 Jun 2022
- 2022Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning24 Jan 2022