Results 271 to 280 of about 2,600,710 (328)
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Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing
IEEE Transactions on Mobile Computing, 2023We consider the problem of task offloading and resource allocation in mobile edge computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile devices (MDs) may offload their tasks to edge servers based on the allocated ...
Hongbo Jiang +3 more
semanticscholar +1 more source
DRL-Driven Dynamic Resource Allocation for Task-Oriented Semantic Communication
IEEE Transactions on Communications, 2023Semantic communication has been regarded as a promising technology to serve upcoming intelligent applications. However, few studies have addressed the problem of resource allocation in semantic communication networks.
Haijun Zhang +4 more
semanticscholar +1 more source
Reverse Auction-Based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing
IEEE Transactions on Mobile Computing, 2023This article proposes a novel Reverse Auction-based Computation Offloading and Resource Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing.
Huan Zhou +5 more
semanticscholar +1 more source
Resource Allocation for Energy-Efficient MEC in NOMA-Enabled Massive IoT Networks
IEEE Journal on Selected Areas in Communications, 2021Integrating mobile edge computing (MEC) into the Internet of Things (IoT) enables the IoT devices of limited computation capabilities and energy to offload their computation-intensive and delay-sensitive tasks to the network edge, thereby providing high ...
Binghong Liu, Chenxi Liu, M. Peng
semanticscholar +1 more source
Resource Allocation in 5G IoV Architecture Based on SDN and Fog-Cloud Computing
IEEE transactions on intelligent transportation systems (Print), 2021In the traditional cloud-based Internet of Vehicles (IoV) architecture, it is difficult to guarantee the low latency requirements of the current intelligent transportation system (ITS).
Bin Cao +3 more
semanticscholar +1 more source
A DRL Agent for Jointly Optimizing Computation Offloading and Resource Allocation in MEC
IEEE Internet of Things Journal, 2021This article studies the joint optimization problem of computation offloading and resource allocation (JCORA) in mobile-edge computing (MEC). Deep reinforcement learning (DRL) is one of the ideal techniques for addressing the dynamic JCORA problem ...
Juan Chen +4 more
semanticscholar +1 more source
2006
Abstract According to the WHO, palliative care is a complex group of assessments and interventions to improve the quality of life for both patients and their families. Within this context, wherein the inclusion of families in the remit of care is required, more resources, manpower, and money are expected to be consumed and provided ...
Stephen A Green, Sidney Bloch
+4 more sources
Abstract According to the WHO, palliative care is a complex group of assessments and interventions to improve the quality of life for both patients and their families. Within this context, wherein the inclusion of families in the remit of care is required, more resources, manpower, and money are expected to be consumed and provided ...
Stephen A Green, Sidney Bloch
+4 more sources
Distributed Differential Evolution With Adaptive Resource Allocation
IEEE Transactions on Cybernetics, 2022Distributed differential evolution (DDE) is an efficient paradigm that adopts multiple populations for cooperatively solving complex optimization problems.
Jian-Yu Li +4 more
semanticscholar +1 more source
Recent Advances of Resource Allocation in Network Function Virtualization
IEEE Transactions on Parallel and Distributed Systems, 2021Network Function Virtualization (NFV) has been emerging as an appealing solution that transforms complex network functions from dedicated hardware implementations to software instances running in a virtualized environment.
Song Yang +4 more
semanticscholar +1 more source
IEEE Internet of Things Journal, 2021
Internet of Vehicles (IoV), when empowered by aerial communications, provides vehicles with seamless connections and proximate computing services. The unpredictable network dynamics of aerial-assisted IoV pose challenges to the resource allocation.
Wen Sun +4 more
semanticscholar +1 more source
Internet of Vehicles (IoV), when empowered by aerial communications, provides vehicles with seamless connections and proximate computing services. The unpredictable network dynamics of aerial-assisted IoV pose challenges to the resource allocation.
Wen Sun +4 more
semanticscholar +1 more source

