Multi-agent deep reinforcement learning based resource allocation for ultra-reliable low-latency internet of controllable things
Y Xiao, Y Song, J Liu - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
As a promising technology in the 5G era, the artificial intelligence (AI) enabled Internet of
controllable things (IoCT) is expected to be an integral part of heterogeneous networks …
controllable things (IoCT) is expected to be an integral part of heterogeneous networks …
Intelligent resource management using multiagent double deep Q-networks to guarantee strict reliability and low latency in IoT network
With the rapid adoption of the Internet of Things, it is necessary to go beyond fifth-generation
applications and apply stringent high reliability and low latency requirements, closely related …
applications and apply stringent high reliability and low latency requirements, closely related …
Deep multiagent reinforcement-learning-based resource allocation for internet of controllable things
B Gu, X Zhang, Z Lin, M Alazab - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Ultrareliable and low-latency communication (URLLC) is a prerequisite for the successful
implementation of the Internet of Controllable Things. In this article, we investigate the …
implementation of the Internet of Controllable Things. In this article, we investigate the …
Deep Q‐learning based resource allocation in industrial wireless networks for URLLC
Ultra‐reliable low‐latency communication (URLLC) is one of the promising services offered
by fifth‐generation technology for an industrial wireless network. Moreover, reinforcement …
by fifth‐generation technology for an industrial wireless network. Moreover, reinforcement …
Experienced deep reinforcement learning with generative adversarial networks (GANs) for model-free ultra reliable low latency communication
In this paper, a novel experienced deep reinforcement learning (deep-RL) framework is
proposed to provide model-free resource allocation for ultra reliable low latency …
proposed to provide model-free resource allocation for ultra reliable low latency …
Deep learning for ultra-reliable and low-latency communications in 6G networks
In future 6th generation networks, URLLC will lay the foundation for emerging mission-
critical applications that have stringent requirements on end-to-end delay and reliability …
critical applications that have stringent requirements on end-to-end delay and reliability …
Optimization Theory Based Deep Reinforcement Learning for Resource Allocation in Ultra-Reliable Wireless Networked Control Systems
The design of Wireless Networked Control System (WNCS) requires addressing critical
interactions between control and communication systems with minimal complexity and …
interactions between control and communication systems with minimal complexity and …
AI-enabled radio resource allocation in 5G for URLLC and eMBB users
M Elsayed, M Erol-Kantarci - 2019 IEEE 2nd 5G World Forum …, 2019 - ieeexplore.ieee.org
The fifth generation (5G) network is expected to accommodate heterogeneous traffic with
diverse QoS demands. In this paper, we address the coexistence of Ultra-Reliable Low …
diverse QoS demands. In this paper, we address the coexistence of Ultra-Reliable Low …
Intelligent Resource Management for eMBB and URLLC in 5G and beyond Wireless Networks
In the era of 5G and beyond wireless networks, the simultaneous support of enhanced
Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC) …
Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC) …
Quasi-optimization of uplink power for enabling green URLLC in mobile UAV-assisted IoT networks: A perturbation-based approach
Efficient resource allocation can maximize power efficiency, which is an important
performance metric in future fifth-generation (5G) communications. The minimization of sum …
performance metric in future fifth-generation (5G) communications. The minimization of sum …
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