Dynamic Resource Allocation in IoT Enhanced by Digital Twins and Intelligent Reflecting Surfaces
Effectively managing network resources in the complex and ever-evolving realms of Internet
of Things (IoT) ecosystems presents a formidable challenge. Conventional resource …
of Things (IoT) ecosystems presents a formidable challenge. Conventional resource …
Jointly optimizing resource and heterogeneity in IoT networks using a Three-Stage Asynchronous Federated Reinforcement Learning
The rapid expansion of Internet of Things (IoT) networks underscores the demand for
efficient and secure machine learning methods suited for geographically dispersed …
efficient and secure machine learning methods suited for geographically dispersed …
Reconfigurable Intelligent Surfaces Assisted 6G Communications for Internet of Everything
The dynamic evolution of wireless communication, driven by the Internet of Everything (IoE)
and the envisioned 6G networks, presents both challenges and opportunities. IoE expands …
and the envisioned 6G networks, presents both challenges and opportunities. IoE expands …
Deep reinforcement learning for online resource allocation in IoT networks: Technology, development, and future challenges
The growing number of complex and heterogeneous Internet of Things (IoT) applications
has imposed a high demand for scarce communications and computing resources. To meet …
has imposed a high demand for scarce communications and computing resources. To meet …
Energy-aware task allocation for mobile IoT by online reinforcement learning
Fog-aided Internet of Things (IoT) networks provide low latency IoT services by offloading
computational intensive and delay sensitive tasks to the fog nodes, which are deployed …
computational intensive and delay sensitive tasks to the fog nodes, which are deployed …
Intelligent resource optimization for scalable and energy-efficient heterogeneous IoT devices
Due to resource shortages and device diversity, energy efficiency and scalability issues are
critical in the Internet of Things (IoT) space. Managing edge resources consistently to …
critical in the Internet of Things (IoT) space. Managing edge resources consistently to …
Edge computing resource allocation for dynamic networks: The DRUID-NET vision and perspective
The potential offered by the abundance of sensors, actuators, and communications in the
Internet of Things (IoT) era is hindered by the limited computational capacity of local nodes …
Internet of Things (IoT) era is hindered by the limited computational capacity of local nodes …
Computing Offloading for RIS-Aided Internet of Everything: A Cybertwin Version
Cybertwin technology introduces a novel paradigm employing digital twins to model
complex physical systems within a cyber environment, thus enhancing communication …
complex physical systems within a cyber environment, thus enhancing communication …
Toward Deep Q-Network-Based Resource Allocation in Industrial Internet of Things
With the increasing adoption of Industrial Internet-of-Things (IIoT) devices, infrastructures,
and supporting applications, it is critical to design schemes to effectively allocate resources …
and supporting applications, it is critical to design schemes to effectively allocate resources …
Leveraging ai and intelligent reflecting surface for energy-efficient communication in 6g iot
Q Pan, J Wu, X Zheng, J Li, S Li… - arXiv preprint arXiv …, 2020 - arxiv.org
The ever-increasing data traffic, various delay-sensitive services, and the massive
deployment of energy-limited Internet of Things (IoT) devices have brought huge challenges …
deployment of energy-limited Internet of Things (IoT) devices have brought huge challenges …