Use Cases and Practical System Design for URLLC from Operation Perspective

Ding, Haiyu; Zhang, Yi; Wang, Xinbo

doi:10.1109/iccw.2019.8756739

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…They leveraged the Deep Reinforcement Learning (DRL) to find the number of punctured mini-slots from all eMBB users. Then, [29] proposed the use cases of the URLLC traffic in the 5G new radio and the authors in [30] proposed the AIenabled radio resource slicing for eMBB and URLLC users.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Communication and Computation Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond

et al. 2020

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Multi-access edge computing (MEC) enables mobile users to offload their computation tasks to the server located at the edge of the cellular network. Thereby, MEC prolongs the battery lifespan of mobile devices and significantly enhances their computation capacities. However, a significant challenge is to offload the computation tasks to the MEC server in an energy-efficient manner. Meanwhile, in the fifth-generation (5G) networks, mobile users with different service requirements classified as enhanced mobile broadband (eMBB) and ultra-reliable low-latency communications (URLLC) users will coexist in the current cellular network. Therefore, it is important to appropriately multiplex these users in the cellular network. In this work, we address the issues of these two promising technologies together. Firstly, we formulate an energy-efficient task offloading, and scheduling of eMBB and URLLC users as a mixedinteger non-linear problem. Then, we decompose the problem into multiple sub-problems in order to transform into convex form and alternately solve them until converging to the desired solutions by using the block coordinate descent (BCD) algorithm. Finally, we demonstrate numerical results to prove the superior effectiveness in the performance of our proposed algorithm over classical existing schemes. INDEX TERMS Multi-access edge computing (MEC), resource slicing, eMBB-URLLC coexistence, block coordinate descent (BCD).

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Section: Related Workmentioning

confidence: 99%

Energy Efficient Communication and Computation Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond

et al. 2020

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“…The fifth generation mobile network (5G) is defined over three types of connected services known as Enhanced mobile broadband (eMBB), Massive Machine Type Communication (mMTC), and Ultra-reliable low latency communications (URLLC) [4]. 5G URLLC services will support time-critical operations such as remote surgery, emergency response, autonomous driving, and smart grid with strict latency (1ms) and reliability (99.999%) requirements [5]. Hence, a 5G URLLC solution will be deployed for Smart Distribution Grid (SDG) applications bringing benefits of guaranteed quality of service, as well as reducing capital and operational expenses.…”

Section: Introductionmentioning

confidence: 99%

Blockchain Support For Time-Critical Self-Healing In Smart Distribution Grids

Gebraselase

Adrah

Amare

et al. 2022

2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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Smart distribution grids have new protection concepts known as fault self-healing whereby Intelligent Electronic Devices (IEDs) can automatically reconfigure the power circuits to isolate faults and restore power to the relevant sections. This is typically implemented with IEDs exchanging IEC 61850 Generic Object Oriented Substation Event (GOOSE) messages in a peer-to-peer communication network. However, a selfhealing application may be faced by challenges of emerging cyber-physical security threats. These can result in disruption to the applications' operations thereby affecting the power system reliability. Blockchain is one technology that has been deployed in several applications to offer security and bookkeeping. In this paper, we propose a novel concept using blockchain as a second-tier security mechanism to support time-critical selfhealing operations in smart distribution grids. We show through a simulation study the impact of our proposed architecture when compared with a normal self healing architecture. The results show that our proposed architecture can achieve significant savings in time spent in no-power state by portions of the grid during cyber-physical attacks.

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“…Many 5G research projects have also been implemented like 5G Smart in Europe Union [8], Koordinierte Industriekommunikation (KoI) project in Germany [9] and Industrial 5G in Siemens [10]. Many researchers focus on control and management of movable devices in 5G networks [11][12][13] and the Auto Guided Vehicle (AGV) has become one of the most concerned objects for 5G application in real-time control [14].…”

Section: Introductionmentioning

confidence: 99%

Formation Control of Dual Auto Guided Vehicles Based on Compensation Method in 5G Networks

et al. 2021

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With commercial application of 5G networks, many researchers have started paying attention to real-time control in 5G networks. This paper focuses on dual auto guided vehicles collaborative transport scenarios and designs a formation control system in current commercial 5G networks. Firstly, the structure of the 5G network researched in this paper is introduced. Then the round-trip time of 5G networks is measured and analyzed. The result shows that although the 5G round-trip time has randomness, it is mainly concentrated in 19 ± 3 ms, and the jitter mainly in 0 ± 3 ms. The Kalman filter is applied to estimate the transmission delay and experiment result shows the effectiveness of the estimation. Furthermore, the total delay including transmission delay and execution delay in control system is discussed. After establishing the AGV kinematic and formation model, complete control system based on compensation method is proposed. Finally, an experiment is carried out. Compared to the result without formation control, maximum distance error is reduced by 82.61% on average, while maximum angle error 45.91% on average. The result shows the effectiveness of the control system in formation maintaining in 5G network.

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Use Cases and Practical System Design for URLLC from Operation Perspective

Cited by 6 publications

References 5 publications

Energy Efficient Communication and Computation Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond

Energy Efficient Communication and Computation Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond

Blockchain Support For Time-Critical Self-Healing In Smart Distribution Grids

Formation Control of Dual Auto Guided Vehicles Based on Compensation Method in 5G Networks

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