Autonomous D2D Transmission Scheme in URLLC for Real-Time Wireless Control Systems

Chang, Bo; Li, Liying; Zhao, Guodong; Chen, Zhi; Imran, Muhammad Ali

doi:10.1109/tcomm.2021.3075680

Cited by 20 publications

(5 citation statements)

References 40 publications

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“…For improving the transmission power for a finite block-length rate with the discrete-time block-fading channel, a resource allocation algorithm is proposed to maximize the achievable rate and optimize the power allocation for D2D communication with URLLC requirements [3]. Similarly, in [16], the proposed real-time wireless control systems for D2D communication were primarily focused on transmission power optimization within the confines of URLLC, and a Rayleigh fading channel is used, which decreases power consumption but is not as effective as Rician fading. The authors in [17] formulated an optimal power allocation problem in an uplink D2D communication scenario under a cellular network with Rayleigh fading, maximized the overall system throughput of the communication system, and ensured the URLLC requirements.…”

Section: Related Workmentioning

confidence: 99%

Optimizing Power Allocation for D2D Communication with URLLC under Rician Fading Channel: A Learning-to-Optimize Approach

Muhammad,

Jiang,

Muhammad Umer

et al. 2023

Intelligent Automation &Amp; Soft Computing

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To meet the high-performance requirements of fifth-generation (5G) and sixth-generation (6G) wireless networks, in particular, ultra-reliable and low-latency communication (URLLC) is considered to be one of the most important communication scenarios in a wireless network. In this paper, we consider the effects of the Rician fading channel on the performance of cooperative device-to-device (D2D) communication with URLLC. For better performance, we maximize and examine the system's minimal rate of D2D communication. Due to the interference in D2D communication, the problem of maximizing the minimum rate becomes non-convex and difficult to solve. To solve this problem, a learning-to-optimize-based algorithm is proposed to find the optimal power allocation. The conventional branch and bound (BB) algorithm are used to learn the optimal pruning policy with supervised learning. Ensemble learning is used to train the multiple classifiers. To address the imbalanced problem, we used the supervised undersampling technique. Comparisons are made with the conventional BB algorithm and the heuristic algorithm. The outcome of the simulation demonstrates a notable performance improvement in power consumption. The proposed algorithm has significantly low computational complexity and runs faster as compared to the conventional BB algorithm and a heuristic algorithm.

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Section: Related Workmentioning

confidence: 99%

Optimizing Power Allocation for D2D Communication with URLLC under Rician Fading Channel: A Learning-to-Optimize Approach

Muhammad,

Jiang,

Muhammad Umer

et al. 2023

Intelligent Automation &Amp; Soft Computing

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“…Recently, there are studies on the design of D2D-based URLLC systems. A probability-based D2D activation and power allocation scheme was proposed in [14] to deal with the extremely high qualityof-service (QoS) requirements in URLLC for real-time wireless control systems, where each sensor autonomously decides whether to participate in the control process without interactive communications. The authors in [15] developed a D2D-based two-phase transmission protocol for URLLC, where each group's messages are combined and the BS multicasts them to the leaders in groups in the first phase, while leaders help to relay messages to other users in their groups in the second phase.…”

Section: A Related Workmentioning

confidence: 99%

Robust Beamforming Design for IRS-Aided URLLC in D2D Networks

Cheng

Shen

Chen

et al. 2022

IEEE Trans. Commun.

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Intelligent reflecting surface (IRS) and device-todevice (D2D) communication are two promising technologies for improving transmission reliability between transceivers in communication systems. In this paper, we consider the design of reliable communication between the access point (AP) and actuators for a downlink multiuser multiple-input single-output (MISO) system in the industrial IoT (IIoT) scenario. We propose a two-stage protocol combining IRS with D2D communication so that all actuators can successfully receive the message from AP within a given delay. The superiority of the protocol is that the communication reliability between AP and actuators is doubly augmented by the IRS-aided first-stage transmission and the second-stage D2D transmission. A joint optimization problem of active and passive beamforming is formulated, which aims to maximize the number of actuators with successful decoding. We study the joint beamforming problem for cases where the channel state information (CSI) is perfect and imperfect. For each case, we develop efficient algorithms that include convergence and complexity analysis. Simulation results demonstrate the necessity and role of IRS with a well-optimized reflection matrix, and the D2D network in promoting reliable communication. Moreover, the proposed protocol can enable reliable communication even in the presence of stringent latency requirements and CSI estimation errors.Index Terms-D2D communication, industrial Internet of things (IIoT), intelligent reflecting surface (IRS), robust beamforming, URLLC I. INTRODUCTIONWith the development of the Internet of things (IoT) and the fifth-generation (5G) and beyond wireless networks, the Manuscript

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“…For instance, Hong et.al [9] studied a design of platoon communication and control in a vehicular to vehicular (V2V) system, in order to reduce the position errors of vehicles. Chang et.al [10] studied a URLLC assisted real-time wireless control system, where an autonomous device-to-device (D2D) communication scheme was developed. Then, in his later work [11], the UAV motion control in a Tera-Hertz (THz) cellular system was studied, where joint sensing, communication and control design was obtained for improving the communication quality of the backhaul links from the UAV to the BS.…”

Section: Introduction Ultra Reliable Low Latency Communication (Urllc...mentioning

confidence: 99%

A Joint Communication and Control System for URLLC in Industrial IoT

Zhao

Yang

et al. 2023

IEEE Trans. Veh. Technol.

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Ultra reliable low latency communication (URLLC) is playing an important role in future wireless networks, such as industrial Internet of things (IIoT). Enormous industrial devices are requiring instant and highly-frequent control services, namely delay sensitive control, in order to improve the human safety or the operation accuracy. In this paper, a joint communication and delay sensitive control (JCDSC) system with URLLC is studied, where the control intervals are much shorter than the transmission latency. The control performance, known as the mean square error (MSE) of the plant states, are analysed in theory. The optimal blocklength of the control codewords, the data rate, as well as the minimum required control periods are then obtained, in order to minimize the control latency. Simulation results validate our theoretical analysis, while also demonstrating that an optimal blocklength of codewords should be selected in order to reduce the control latency.

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Autonomous D2D Transmission Scheme in URLLC for Real-Time Wireless Control Systems

Cited by 20 publications

References 40 publications

Optimizing Power Allocation for D2D Communication with URLLC under Rician Fading Channel: A Learning-to-Optimize Approach

Optimizing Power Allocation for D2D Communication with URLLC under Rician Fading Channel: A Learning-to-Optimize Approach

Robust Beamforming Design for IRS-Aided URLLC in D2D Networks

A Joint Communication and Control System for URLLC in Industrial IoT

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