Task offloading strategies for mobile edge computing: A survey
With the wide adoption of 5G technology and the rapid development of 6G technology, a
variety of new applications have emerged. A multitude of compute-intensive and time …
variety of new applications have emerged. A multitude of compute-intensive and time …
A Deep-Reinforcement-Learning-Based Computation Offloading With Mobile Vehicles in Vehicular Edge Computing
Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …
extra computation resource to complete the computation tasks of mobile devices with low …
Resource allocation and task off-loading for 6G enabled smart edge environments
There has been an enormous increase in information flow and communication data due to
the rapid rise in the number of Internet of Everything (IoE) devices and the development of …
the rapid rise in the number of Internet of Everything (IoE) devices and the development of …
Collaborative Edge Computing and Program Caching With Routing Plan in C-NOMA-Enabled Space-Air-Ground Network
P Qin, M Fu, Y Fu, R Ding… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Through deploying satellites and unmanned aerial vehicles (UAVs) with onboard
processing capability, the space-air-ground edge computing network (SAGECN) is poised to …
processing capability, the space-air-ground edge computing network (SAGECN) is poised to …
Multi-Hop Task Offloading and Relay Selection for IoT Devices in Mobile Edge Computing
To bridge the gap of conventional single-hop task offloading schemes in infrastructure-free
scenarios, multi-hop task offloading schemes for IoT devices in Mobile Edge Computing …
scenarios, multi-hop task offloading schemes for IoT devices in Mobile Edge Computing …
ComputiFi: Latency-optimized task offloading in multipath multihop lifi-wifi networks
The increasing prevalence of latency-critical applications such as Ultra Reliable Low
Latency Communications (URLLC), factory automation, and Artificial Intelligence (AI) for …
Latency Communications (URLLC), factory automation, and Artificial Intelligence (AI) for …
Multi-UAVs network design algorithms for computed rate maximization
This paper considers a network design problem using Unmanned Aerial Vehicles (UAVs). It
aims to create a network to provide communication and computation service to a set of …
aims to create a network to provide communication and computation service to a set of …
Joint routing and computation offloading based deep reinforcement learning for Flying Ad hoc Networks
Flying ad-hoc networks (FANETs) consisting of multiple Unmanned Aerial Vehicles (UAVs)
are widely used due to their flexibility and low cost. In scenarios such as crowdsensing and …
are widely used due to their flexibility and low cost. In scenarios such as crowdsensing and …
A multi-criteria aware integrated decision making routing protocol for IoT communication toward 6G networks
Energy resource limitations, data packet traffic congestion, mobility, and communication link
failure of relay nodes are vital challenges in establishing a reliable and efficient path …
failure of relay nodes are vital challenges in establishing a reliable and efficient path …
Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm
A significant challenge for computation offloading in wireless multi-hop networks is the
complex interaction among traffic flows in the presence of interference. Existing approaches …
complex interaction among traffic flows in the presence of interference. Existing approaches …