Control Performance Aware Cooperative Transmission in Multiloop Wireless Control Systems for Industrial IoT Applications

Lyu, Ling; Chen, Cailian; Zhu, Shanying; Cheng, Nan; Yang, Bo; Guan, Xinping

doi:10.1109/jiot.2018.2872048

Cited by 33 publications

(11 citation statements)

References 37 publications

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“…Similarly, health and traffic systems seek real-time monitoring and should be communicated with less latency and high reliability to the consumer end. B5G-IIoT supports high reliability, higher data rate with less than 1 ms latency for smart cities [155], [162], [168]- [173].…”

Section: Smart Citiesmentioning

confidence: 99%

URLLC and eMBB in 5G Industrial IoT: A Survey

Sharfeen¹,

Jangsher²,

ahmed³

et al. 2022

Preprint

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Section: Smart Citiesmentioning

confidence: 99%

URLLC and eMBB in 5G Industrial IoT: A Survey

Sharfeen¹,

Jangsher²,

ahmed³

et al. 2022

Preprint

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“…Following the above study, the minimum information capacity required to maintain the plant at a pre-specified LQR cost is revealed in [24]. For the practical systems, the optimization of the control cost is investigated for the vehicular platooning and industrial IoT [15], [16].…”

Section: ) Plant Stability and Control Costmentioning

confidence: 99%

“…With respect to the other works in cost, stabilizing plants is equivalent to minimizing the control cost in the case of mean square deviation [9], [10]. Thereupon, the optimization of the control cost is investigated for the vehicular platooning and industrial IoT [15], [16]. Moreover, the higher transmission power is supported, the better performance of latency, reliability and control is achieved, but it comes at the cost of higher energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Leveraging Linear Quadratic Regulator Cost and Energy Consumption for Ultrareliable and Low-Latency IoT Control Systems

Yang

Zheng

Qian

2020

IEEE Internet Things J.

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To efficiently support the real-time control applications, networked control systems operating with ultra-reliable and low-latency communications (URLLCs) become fundamental technology for future Internet of things (IoT). However, the design of control, sensing and communications is generally isolated at present. In this paper, we propose the joint optimization of control cost and energy consumption for a centralized wireless networked control system. Specifically, with the "sensing-then-control" protocol, we first develop an optimization framework which jointly takes control, sensing and communications into account. In this framework, we derive the spectral efficiency, linear quadratic regulator cost and energy consumption. Then, a novel performance metric called the energy-to-control efficiency is proposed for the IoT control system. In addition, we optimize the energy-to-control efficiency while guaranteeing the requirements of URLLCs, thereupon a general and complex max-min joint optimization problem is formulated for the IoT control system. To optimally solve the formulated problem by reasonable complexity, we propose two radio resource allocation algorithms. Finally, simulation results show that our proposed algorithms can significantly improve the energy-to-control efficiency for the IoT control system with URLLCs. Index TermsInternet of things (IoT), networked control systems, ultra-reliable and low-latency communications (URLLC), energy-to-control efficiency (ECE), finite blocklength theory, massive MIMO. Haojun Yang and Kan Zheng are with the Intelligent Computing and Communications (IC 2 ) Lab, Wireless Signal Processing and Networks (WSPN) Lab,

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“…Use cases, architecture, requirements and challenges [212]- [222] System evaluation and testbeds [223]- [229] System design for uRLLC for [219], [226], [230]- [233] PHY and MAC design [234]- [237] Resource allocation [238]- [246] uRLLC service type for robotics [235], [247]- [249] Industrial wireless networks [236], [250]- [252] Industrial IoT wireless networks [229], [241], [243], [253], [254],…”

Section: Research Topics Referencesmentioning

confidence: 99%

“…[244]- [246] SDN, NFV, and network virtualization for FAAs [227], [228], [245], [254], [255], [221] The authors of [217], [218], [222] investigate the requirements and potential of both the operational LTE and 5G air interfaces designed for the smart factory, respectively. The key design challenges of 5G deployments conceived for a smart factory are analyzed in [213] and [219], where 99.9999% service availability and less than 1 ms latency are mandatory for closed-loop motion control and for other mission-critical industrial applications.…”

Section: Research Topics Referencesmentioning

confidence: 99%

Next-generation Wireless Solutions for the Smart Factory, Smart Vehicles, the Smart Grid and Smart Cities

Ho,

Tran,

Nguyen

et al. 2019

Preprint

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5G wireless systems will extend mobile communication services beyond mobile telephony, mobile broadband, and massive machine-type communication into new application domains, namely the so-called vertical domains including the smart factory, smart vehicles, smart grid, smart city, etc. Supporting these vertical domains comes with demanding requirements: high-availability, high-reliability, low-latency, and in some cases, high-accuracy positioning. In this survey, we first identify the potential key performance requirements of 5G communication in support of automation in the vertical domains and highlight the 5G enabling technologies conceived for meeting these requirements. We then discuss the key challenges faced both by industry and academia which have to be addressed in order to support automation in the vertical domains. We also provide a survey of the related research dedicated to automation in the vertical domains. Finally, our vision of 6G wireless systems is discussed briefly.

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Control Performance Aware Cooperative Transmission in Multiloop Wireless Control Systems for Industrial IoT Applications

Cited by 33 publications

References 37 publications

URLLC and eMBB in 5G Industrial IoT: A Survey

URLLC and eMBB in 5G Industrial IoT: A Survey

Leveraging Linear Quadratic Regulator Cost and Energy Consumption for Ultrareliable and Low-Latency IoT Control Systems

Next-generation Wireless Solutions for the Smart Factory, Smart Vehicles, the Smart Grid and Smart Cities

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