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Two-Stage Deep Energy Optimization in IRS-Assisted UAV-Based Edge Computing Systems
Integrating wireless-powered Mobile Edge Computing (MEC) with Unmanned Aerial
Vehicles (UAVs) leverages computation offloading services for mobile devices, significantly …
Vehicles (UAVs) leverages computation offloading services for mobile devices, significantly …
Intelligent optimization algorithm for green IoV networks based on SSA
The rapid development of the Internet of Vehicles (IoV) has been enabled by sixth-
generation (6G) mobile communication and artificial intelligence technologies. However …
generation (6G) mobile communication and artificial intelligence technologies. However …
[PDF][PDF] Energy-Efficient Task Offloading in Wireless-Powered MEC: A Dynamic and Cooperative Approach
H He, C Zhou, F Huang, H Shen, S Li - Mathematics, 2024 - preprints.org
Mobile Edge Computing (MEC) integrated with Wireless Power Transfer (WPT) is emerging
as a promising solution to reduce task delays and extend the battery life of Mobile Devices …
as a promising solution to reduce task delays and extend the battery life of Mobile Devices …
[HTML][HTML] Pre-filters design for weighted sum rate maximization in multiuser time reversal downlink systems
M Wang, F Li, Y Li, S Luo - Digital Communications and Networks, 2024 - Elsevier
In high-speed multiuser Time Reversal (TR) downlink systems, the transmission rate is
degraded due to the presence of severe inter-user and inter-symbol interference. Moreover …
degraded due to the presence of severe inter-user and inter-symbol interference. Moreover …
Joint optimization for computation offloading and 3C resource allocations over wireless-powered and NOMA-enabled multi-access MEC
P Ai, F Wang - Computer Networks, 2024 - Elsevier
Multi-access mobile edge computing (MEC) enables mobile users (MUs) to offload tasks to
proximal multiple MEC servers for fast task processing. Since MUs generally have stringent …
proximal multiple MEC servers for fast task processing. Since MUs generally have stringent …
Learning-Based Privacy-Preserving Computation Offloading in Multi-Access Edge Computing
As a technology intended to reduce cellular network congestion and enhance user service
quality, computation offloading in Multi-access Edge Computing (MEC) networks highlights …
quality, computation offloading in Multi-access Edge Computing (MEC) networks highlights …
Resource Allocation and Trajectory Optimization in Unmanned Aerial Vehicle-assisted Mobile Edge Computing
Edge computing offers a groundbreaking architecture for supplying computing, storage, and
networking resources to propel the Internet of Things forward. By situating them at the …
networking resources to propel the Internet of Things forward. By situating them at the …
Optimisation in Noma Wireless Communication Networks
X **e - 2023 - search.proquest.com
With the exponential expansion of the Internet of Things (IoT) and the increasing demand for
multimedia applications, the upcoming sixth-generation (6G) wireless communication …
multimedia applications, the upcoming sixth-generation (6G) wireless communication …
Emerging Applications of FinFET's in Artificial Intelligence and Machine Learning Hardwares
FinFET technology, a groundbreaking leap in semiconductor design, has substantially
affected the buildup of hardware for the use of artificial intelligence (AI) and machine …
affected the buildup of hardware for the use of artificial intelligence (AI) and machine …
Machine Learning-Based Design Optimization of FinFET Transistors for Energy-Efficient Computing
This study addresses the application of machine learning approaches to increase the
efficacy of the FinFET transistor approach with the objective of increasing energy use in …
efficacy of the FinFET transistor approach with the objective of increasing energy use in …