Distributed Channel Access for Control Over Unknown Memoryless Communication Channels

Farjam, Tahmoores; Wymeersch, Henk; Charalambous, Themistoklis

doi:10.1109/tac.2021.3129737

Cited by 8 publications

(3 citation statements)

References 43 publications

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“…The robust range of power load uncertainty after photovoltaic integration into the distribution network is as follows [10]: We set g and h as the photovoltaic capacity and number of energy storage modules to be connected to the selected node.…”

Section: Low-voltage and High-penetration Distributed Photovoltaic Ac...mentioning

confidence: 99%

Low-voltage and high-penetration distributed photovoltaic access control technology based on intelligent measurement

Wang,

Guo

2024

J. Phys.: Conf. Ser.

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This project takes high-penetration distributed photovoltaic access as the background and studies the control method for low voltage and high penetration distributed photovoltaic access. Firstly, by analyzing the measured data of the low-voltage distribution network, the daily load and measured values of the low-voltage distribution network were obtained. On this basis, the topology structure of a high-penetration distributed photovoltaic grid-connected system is studied, and the voltage, current, power, and other parameters of the grid-connected system are obtained. A low-voltage and high-penetration distributed photovoltaic grid-connected control method based on a genetic algorithm is adopted. Experiments have shown that the maximum allowable capacity of this scheme is smaller than the standard value and can effectively suppress voltage fluctuations. The experimental results show that the system has good grid connection performance, which is of great significance for improving the operational stability and efficiency of low-voltage distribution systems.

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Section: Low-voltage and High-penetration Distributed Photovoltaic Ac...mentioning

confidence: 99%

Low-voltage and high-penetration distributed photovoltaic access control technology based on intelligent measurement

Wang,

Guo

2024

J. Phys.: Conf. Ser.

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“…In many practical scenarios, channel states, and consequently, packet dropouts are timecorrelated which motivates the use of GE channel model instead. The study of this model in WNCSs has been mainly concerned with stability [9], [11], [23], [24] and scheduling of a single sensor for remote estimation [25], [26]. To the best of our knowledge, the only works that consider the closely related scenario of multiple GE channels are [27], [28].…”

Section: A Related Workmentioning

confidence: 99%

Distributed Channel Access for Control Over Known and Unknown Gilbert–Elliott Channels

Farjam

Wymeersch

Charalambous

2023

IEEE Trans. Automat. Contr.

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We consider the distributed channel access problem for a system consisting of multiple control subsystems that close their loop over a shared wireless network with multiple channels subject to Markovian packet dropouts. Provided that an acknowledgement/negative-acknowledgement feedback mechanism is in place, we show that this problem can be formulated as a Markov decision process. We then transform this problem to a form that enables distributed control-aware channel access. More specifically, we show that the control objective can be minimized without requiring information exchange between subsystems as long as the channel parameters are known. The objective is attained by adopting a priority-based deterministic channel access method and the stability of the system under the resulting scheme is analyzed. Next, we consider a practical scenario in which the channel parameters are unknown and adopt a learning method based on Bayesian inference which is compatible with distributed implementation. We propose a heuristic posterior sampling algorithm which is shown to significantly improve performance via simulations.

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“…There are many works on the remote estimation problem over fading channels which are mainly concerned with the efficient use of the limited bandwidth without taking into consideration any energy constraints. The problem is often solved by designing offline (Yang and Shi, 2011;Zhao et al, 2014;Han et al, 2017) or time-varying (Wu S. et al, 2018;Eisen et al, 2019;Chen et al, 2021;Farjam et al, 2021;Forootani et al, 2022) sensor selection policies. Designing power control schemes for energy-aware scheduling policies over fading channels has also been receiving attention (Leong et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Power Allocation for Remote Estimation Over Known and Unknown Gilbert-Elliott Channels

Farjam

Charalambous

2022

Front. Control Eng.

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In this paper, we consider the problem of power scheduling of a sensor that transmits over a (possibly) unknown Gilbert-Elliott (GE) channel for remote state estimation. The sensor supports two power modes, namely low power, and high power. The scheduling policy determines when to use low power or high power for data transmission over a fading channel with temporal correlation while satisfying the energy constraints. Although error-free acknowledgement/negative-acknowledgement (ACK/NACK) signals are provided by the remote estimator, they only provide meaningful information about the underlying channel state when low power is utilized. This leads to a partially observable Markov decision process (POMDP) problem and we derive conditions that preserve the optimality of a stationary schedule derived for its fully observable counterpart. However, implementing this schedule requires knowledge of the parameters of the GE model which are not available in practice. To address this, we adopt a Bayesian framework to learn these parameters online and propose an algorithm that is shown to satisfy the energy constraint while achieving near-optimal performance via simulation.

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Distributed Channel Access for Control Over Unknown Memoryless Communication Channels

Cited by 8 publications

References 43 publications

Low-voltage and high-penetration distributed photovoltaic access control technology based on intelligent measurement

Low-voltage and high-penetration distributed photovoltaic access control technology based on intelligent measurement

Distributed Channel Access for Control Over Known and Unknown Gilbert–Elliott Channels

Power Allocation for Remote Estimation Over Known and Unknown Gilbert-Elliott Channels

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