When IEEE 802.11 and 5G Meet Time-Sensitive Networking

Atiq, Mahin K.; Muzaffar, Raheeb; Seijo, Óscar; Val, Iñaki; Bernhard, Hans-Peter

doi:10.1109/ojies.2021.3135524

Cited by 50 publications

(10 citation statements)

References 109 publications

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“…Wang et al [34] proposed an integrated TSN and 5G industrial network architecture, where the 5G system acts as a logical TSN-capable bridge support deterministic communication. Atiq et al [35] analyzed the recent standardization efforts and developments in IEEE 802.11 and 5G to enable low-latency, deterministic communications and present the current status of their integration with wired TSN. Larrañaga et al [36] discuss current research and standardization work on 5G-TSN integration and quantify the 5GS bridge delay for a closed loop control application.…”

Section: Related Workmentioning

confidence: 99%

Software-Defined Time-Sensitive Networking for Cross-Domain Deterministic Transmission

Guo,

Shou,

Liu

et al. 2024

Electronics

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With the rapid development of Industrial 4.0, massive emerging time-critical applications pose new demands for industrial networks, such as strict latency boundaries, ultra-reliable transmission, and so on. Time-Sensitive Networking (TSN) is well suited for these demanding scenarios due to its support for deterministic transmission based on Ethernet. However, many use cases in real industrial scenarios involve non-TSN domains, and, thus, the network requires providing deterministic transmission across non-TSN domains to support them. To this end, this paper proposes a novel Software-Defined Time-Sensitive Networking (SD-TSN) framework that integrates the determinism of TSN and scalability of Software-Defined Networking (SDN). SD-TSN exploits the coordination between the coordinated controller and different domain controllers to bound non-deterministic queuing delays in a way that guarantees determinism. In particular, we designed a multi-domain time-aware traffic scheduling model, which harmonizes the time-aware shaper (TAS) in TSN and time-slots in non-TSN domains based on a global view, generating transmission schedules for each domain. A prototype testbed was built to conduct the experiments. The evaluation results demonstrate that the proposed method can efficiently achieve bounded delay and low delay variations in the transmission across non-TSN domains.

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Section: Related Workmentioning

confidence: 99%

Software-Defined Time-Sensitive Networking for Cross-Domain Deterministic Transmission

Guo,

Shou,

Liu

et al. 2024

Electronics

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“…Specifically, it is important to enable deterministic channel access via estimation of communication slots available for interference-free communication. In particular, avoiding interference is a must if the ISM band is used for deterministic wireless communication, as in [5] for Time-Sensitive Networking (TSN). Authors in [6] proposed an approach to reconstruct BLE connection parameters which can be directly used to predict the channel access of BLE connections.…”

Section: A Related Workmentioning

confidence: 99%

Predicting the Channel Access of Bluetooth Low Energy

Karoliny¹,

Blazek²,

Springer³

et al. 2023

Preprint

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Bluetooth Low Energy (BLE) is one of the key enablers for low-power and low-cost applications in consumer electronics and the Internet of Things. The latest features such as audio and direction finding will introduce more and more devices that rely on BLE for communication. However, like many other wireless standards, BLE relies on the unlicensed 2.4 GHz frequency band where the spectrum is already very crowded and a channel access without collisions with other devices is difficult to guarantee. For applications with high reliability requirements, it will be beneficial to actively consider channel access from other devices or standards. In this work, we present an approach to estimate the connection parameters of multiple BLE connections outside our control and knowledge by passively listening to the channel. With this, we are able to predict future channel access of these BLE connections that can be used by other wireless networks to avoid collisions. We show the applicability of our algorithm with measurements from which we are able to identify unknown BLE connections, reconstruct their specific connection parameters, and predict their future channel access.

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“…through proper scheduling and resource management. Timesensitive networks have recently become an active area of research [7], [8] and standards [9], [10]. A wide variety of scheduling algorithms have been developed with the aim of guaranteeing desired latency performance over wireless networks such as 5G [11] and Wi-Fi [12]- [14].…”

Section: Introductionmentioning

confidence: 99%

“…follows from (10) and (12) in the case in which network bandwidth is dynamically allocated so that it may be shared with background network traffic. The resulting optimal computeutility-aware network scheduling allocation decision is then given by .…”

mentioning

confidence: 99%

Joint Resource Scheduling for AMR Navigation Over Wireless Edge Networks

Eisen

Sudhakaran

Mageshkumar

et al. 2023

IEEE Open J. Veh. Technol.

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The future of autonomous systems will rely on the usage of wireless time-sensitive networks to connect mobile cyberphysical systems, such as Autonomous Mobile Robots (AMRs), to Edge compute platforms to offload computationally intensive workloads necessary to complete tasks. In the case of AMRs, due to their mobility, the offloading of expensive processes such as localization and tracking methods to the Edge computing infrastructure must also be done over dynamic wireless networks. In larger scale systems, the network and compute resource requirements can quickly become prohibitively large due to network traffic and heavy workloads and tight deadline requirements for proper execution of time-critical tasks. In this paper, we formulate the problem of jointly allocating network and compute resources for time sensitive systems as the state of the wireless channel changes over time. By characterizing a compute model for AMR workloads, we further demonstrate how the network and compute scheduling decisions can be serialized, thus making the optimal scheduling problem significantly more tractable, via the incorporation of a compute-utility aware network cost function. Simulation results of AMR systems in a Wi-Fi network demonstrate substantial gains over baseline scheduling methods in total resource efficiency.

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When IEEE 802.11 and 5G Meet Time-Sensitive Networking

Cited by 50 publications

References 109 publications

Software-Defined Time-Sensitive Networking for Cross-Domain Deterministic Transmission

Software-Defined Time-Sensitive Networking for Cross-Domain Deterministic Transmission

Predicting the Channel Access of Bluetooth Low Energy

Joint Resource Scheduling for AMR Navigation Over Wireless Edge Networks

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