Age of Loop for Wireless Networked Control Systems Optimization

Ana, Pedro M. de Sant; Marchenko, Nikolaj; Popovski, Petar; Soret, Beatriz

doi:10.1109/pimrc50174.2021.9569366

Cited by 11 publications

(5 citation statements)

References 13 publications

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“…Node 1 delivers the system status to Node 2, which responds with a control command. AoL is the AoI over the two-way connection, which comprises the transfer of the system status from Node 1 to Node 2 and the instruction from Node 2 to Node 1 [106].…”

Section: B Timing Metricsmentioning

confidence: 99%

Toward Natively Intelligent Semantic Communications and Networking

Trevlakis,

Pappas,

Boulogeorgos

2024

IEEE Open J. Commun. Soc.

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As the process of envisioning, researching, and strategizing for 6G communications has commenced, we present our vision on the role of semantic communications (SemCom) in the beyond 5G era. In the following discourse, we delve into the factors that may impede the progress of research and implementation of 6G with the objective of catering to the semantically enriched communication requirements of the 2030s. In addition, we proceed to establish the fundamental attributes of SemCom and engage in an examination of the requisite technological modalities. In order to bolster this overarching vision, we introduce a semantic networking architecture that encapsulates and characterizes various application scenarios of SemCom. Expanding on the concept of point-to-point SemCom systems the semantic networking architecture focuses on extracting and filtering goal specific semantic information at the source before transmitting signals. It also involves decoding and post processing semantics at the destination. What sets this networking architecture apart is its transformation into a multi-user distributed, edge-to-cloud network with deadline constraint traffic. Given its complexity, implementing such an architecture necessitates frameworks for extracting and representing knowledge theoretical models to predict and manage multiple time varying deadline/delay constrained traffic flows that may cause significant congestion in the network as well, as innovative metrics infused with semantics to measure performance while encapsulating its inherent relevance. Finally, we provide research considerations and future directions towards the integration of semantics in the forthcoming 6G wireless systems.

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Section: B Timing Metricsmentioning

confidence: 99%

Toward Natively Intelligent Semantic Communications and Networking

Trevlakis,

Pappas,

Boulogeorgos

2024

IEEE Open J. Commun. Soc.

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“…The server then renders virtual objects in the physical space and sends the content back to the visor: both the uplink and downlink flows can have a significant throughput [131], and the perceived delay between the user's movements and their effect on the virtual content depends on the AoL. In this case, Node 1 is at the same time the past anchor and the future timing reference [132].…”

Section: Age Of Informationmentioning

confidence: 99%

“…Node 1 sends a state to Node 2 and expects back a command that needs to be actuated. In this case, the correct system operation and stability depend on the AoL, defined as the age of the twoway loop and measured from the moment the state is sent until the command is received [132]. In general, one can define various composite measures of freshness taking into account the states and the data reception at both nodes, as we described in Section IV-D.…”

Section: Timing and Freshness Of Updatesmentioning

confidence: 99%

A Perspective on Time Toward Wireless 6G

et al. 2022

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| With the advent of 5G technology, the notion of latency got a prominent role in wireless connectivity, serving as a proxy term for addressing the requirements for realtime communication. As wireless systems evolve toward 6G, the ambition to immerse the digital into physical reality will increase. Besides making the real-time requirements more stringent, this immersion will bring the notions of time, simultaneity, presence, and causality to a new level of complexity.A growing body of research points out that latency is insufficient to parameterize all real-time requirements. Notably, one such requirement that received significant attention is information freshness, defined through the Age of Information (AoI) and its derivatives. In general, the metrics derived from a conventional black-box approach to communication network design are not representative of new distributed paradigms, such as sensing, learning, or distributed consensus. The objective of this article is to investigate the general notion of timing in wireless communication systems and networks, and

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“…Node 1 sends the state of the system to Node 2, and Node 2 replies with a control command to Node 1, which acts accordingly. Node 1 is at the same time the past anchor and the future timing reference [106].…”

Section: Beyond Age Of Information: Composite Measures and Data Qualitymentioning

confidence: 99%

“…Node 1 sends a state to Node 2 and expects back a command that needs to be actuated. In this case, the correct system operation and stability depends on the AoL, defined as the age of the two-way loop and measured from the moment the state is sent until the command is received [106]. In general, one can define various composite measures of freshness taking into account the states and the data reception at both nodes, as we described in Sec.…”

Section: Timing and Freshness Of Updatesmentioning

confidence: 99%

A Perspective on Time towards Wireless 6G

Popovski¹,

Chiariotti²,

Huang³

et al. 2021

Preprint

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With the advent of 5G technology, the notion of latency got a prominent role in wireless connectivity, serving as a proxy term for addressing the requirements for real-time communication. As wireless systems evolve towards 6G, the ambition to immerse the digital into the physical reality will increase. Besides making the real-time requirements more stringent, this immersion will bring the notions of time, simultaneity, presence, and causality to a new level of complexity. A growing body of research points out that latency is insufficient to parameterize all real-time requirements. Notably, one such requirement that received a significant attention is information freshness, defined through the Age of Information (AoI) and its derivatives. In general, the metrics derived from a conventional black-box approach to communication network design are not representative for new distributed paradigms such as sensing, learning, or distributed consensus. The objective of this article is to investigate the general notion of timing in wireless communication systems and networks and its relation to effective information generation, processing, transmission, and reconstruction at the senders and receivers. We establish a general statistical framework of timing requirements in wireless communication systems, which subsumes both latency and AoI. The framework is made by associating a timing component with the two basic statistical operations, decision and estimation. We first use the framework to present a representative sample of the existing works that deal with timing in wireless communication. Next, it is shown how the framework can be used with different communication models of increasing complexity, starting from the basic Shannon one-way communication model and arriving to communication models for consensus, distributed learning, and inference. Overall, this paper fills an important gap in the literature by providing a systematic treatment of various timing measures in wireless communication and sets the basis for design and optimization for the next-generation real-time systems.

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Age of Loop for Wireless Networked Control Systems Optimization

Cited by 11 publications

References 13 publications

Toward Natively Intelligent Semantic Communications and Networking

Toward Natively Intelligent Semantic Communications and Networking

A Perspective on Time Toward Wireless 6G

A Perspective on Time towards Wireless 6G

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