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A survey on task offloading in multi-access edge computing
With the advent of new technologies in both hardware and software, we are in the need of a
new type of application that requires huge computation power and minimal delay …
new type of application that requires huge computation power and minimal delay …
[HTML][HTML] A comprehensive survey on reinforcement-learning-based computation offloading techniques in edge computing systems
In recent years, the number of embedded computing devices connected to the Internet has
exponentially increased. At the same time, new applications are becoming more complex …
exponentially increased. At the same time, new applications are becoming more complex …
DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …
power, resource-constrained edge devices cannot effectively meet the requirements of …
[HTML][HTML] A survey of energy optimization approaches for computational task offloading and resource allocation in MEC networks
With the increased penetration of cloud computing and virtualization, a plethora of internet of
things devices have been deployed globally. As a result, computationally intensive tasks are …
things devices have been deployed globally. As a result, computationally intensive tasks are …
[HTML][HTML] Task offloading based on LSTM prediction and deep reinforcement learning for efficient edge computing in IoT
In IoT (Internet of Things) edge computing, task offloading can lead to additional
transmission delays and transmission energy consumption. To reduce the cost of resources …
transmission delays and transmission energy consumption. To reduce the cost of resources …
Weighted utility aware computational overhead minimization of wireless power mobile edge cloud
Abstract Fifth-generation (5G) wireless networks are projected to support a large number of
low-power devices, which are an essential component of Internet of Things (IoT) …
low-power devices, which are an essential component of Internet of Things (IoT) …
Physical-layer assisted secure offloading in mobile-edge computing
The wireless offloading feature of the recently advocated mobile-edge computing (MEC)
imposes a risk of disclosing private user data to eavesdroppers. Physical-layer security …
imposes a risk of disclosing private user data to eavesdroppers. Physical-layer security …
Joint optimization of USVs communication and computation resource in IRS-aided wireless inland ship MEC networks
To realize fully functioning inland waterway communications, portable and affordable
unmanned surface vehicles (USVs) have become increasingly significant in wireless inland …
unmanned surface vehicles (USVs) have become increasingly significant in wireless inland …
Deep reinforcement learning and game theory for computation offloading in dynamic edge computing markets
As a promising paradigm, computation offloading technology can offload computing tasks to
multi-access edge computing (MEC) servers, which is an appealing choice for resource …
multi-access edge computing (MEC) servers, which is an appealing choice for resource …
[HTML][HTML] Deep reinforcement learning for computation offloading and resource allocation in unmanned-aerial-vehicle assisted edge computing
Computation offloading technology extends cloud computing to the edge of the access
network close to users, bringing many benefits to terminal devices with limited battery and …
network close to users, bringing many benefits to terminal devices with limited battery and …