A novel duplex deep reinforcement learning based RRM framework for next-generation V2X communication networks
Resource management in the next-generation vehicle-to-everything (V2X) communication
networks is a demanding research problem. It is difficult to achieve the best results if the …
networks is a demanding research problem. It is difficult to achieve the best results if the …
Resource Provisioning Using Meta-Heuristic Methods for IoT Microservices With Mobility Management
The fog and edge computing paradigm provide a distributed architecture of nodes with
processing capability for smart healthcare systems driven by Internet of Thing (IoT) …
processing capability for smart healthcare systems driven by Internet of Thing (IoT) …
Reliability-guaranteed uplink resource management in proactive mobile network for minimal latency communications
Proactive Mobile Network (PMN) has been proposed to support extremely low latency
communications with multi-tier computing architectures, machine-centricity, and data-driven …
communications with multi-tier computing architectures, machine-centricity, and data-driven …
RIS-aided proactive mobile network downlink interference suppression: A deep reinforcement learning approach
A proactive mobile network (PMN) is a novel architecture enabling extremely low-latency
communication. This architecture employs an open-loop transmission mode that prohibits all …
communication. This architecture employs an open-loop transmission mode that prohibits all …
Machine learning enables radio resource allocation in the downlink of ultra-low latency vehicular networks
Autonomous driving and intelligent transportation demand ultra-low latency and high
reliability communication in future vehicular networks. Proactive wireless communication …
reliability communication in future vehicular networks. Proactive wireless communication …
Context-Aware Mobile Edge Resource Allocation in OFDMA Downlink System
P Zhang, H Tian, P Zhao, S Fan - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
Advanced sensing, data analysis, and communication techniques have promoted the
emergence and tremendous development of the Intelligent Industrial Internet of Things …
emergence and tremendous development of the Intelligent Industrial Internet of Things …
Design and development of a machine learning-based task orchestrator for intelligent systems on edge networks
MJP Peixoto, A Azim - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes an edge-centric workload orchestration approach that uses machine
learning in a three-tier vehicular architecture (edge, cloud via roadside unit, or cloud via …
learning in a three-tier vehicular architecture (edge, cloud via roadside unit, or cloud via …
Opportunistic Multiple Access for Reliable Minimal Latency Communications
Ultra-Reliable Low Latency Communication (URLLC) remains a daunting challenge toward
6G, of particular interest in use cases involving machine-to-machine communications and …
6G, of particular interest in use cases involving machine-to-machine communications and …