A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches
Driven by the demand of time-sensitive and data-intensive applications, edge computing
has attracted wide attention as one of the cornerstones of modern service architectures. An …
has attracted wide attention as one of the cornerstones of modern service architectures. An …
Comprehensive Survey on Reinforcement Learning-Based Task Offloading Techniques in Aerial Edge Computing
Aerial edge computing (AEC) has emerged as a pivotal platform offering low-latency
computation services, seamless deployability, rapid operationality, and high maneuverability …
computation services, seamless deployability, rapid operationality, and high maneuverability …
Air computing: A survey on a new generation computation paradigm
There is an ever-growing race between what novel applications demand from the
infrastructure and what the continuous technological breakthroughs bring in. Especially after …
infrastructure and what the continuous technological breakthroughs bring in. Especially after …
UAV-assisted dependency-aware computation offloading in device–edge–cloud collaborative computing based on improved actor–critic DRL
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has become a
popular research topic, addressing challenges posed by the pressure of cloud computing …
popular research topic, addressing challenges posed by the pressure of cloud computing …
Collaborative computation offloading and wireless charging scheduling in multi-UAV-assisted MEC networks: A TD3-based approach
Computation offloading, resource allocation, and endurance issues in unmanned aerial
vehicle (UAV)-aided mobile edge computing (MEC) networks have always been a research …
vehicle (UAV)-aided mobile edge computing (MEC) networks have always been a research …
Learning based dynamic resource allocation in uav-assisted mobile crowdsensing networks
Unmanned aerial vehicles (UAV) assisted mobile crowdsensing (MCS) is an emerging
paradigm that utilizes mobile user (MU) collaboration to complete sensing tasks. However …
paradigm that utilizes mobile user (MU) collaboration to complete sensing tasks. However …
Backscatter-based UAV-enabled mobile edge computing IoT network: design and analysis
In the 6G mobile networks, ensuring low latency and low energy consumption is paramount.
This study explores a novel approach for addressing these issues in a backscatter …
This study explores a novel approach for addressing these issues in a backscatter …
[PDF][PDF] Backscatter Communication in UAV-enabled Mobile Edge Computing IoT Networks with and without Eavesdropper
In this paper, we study the performance of a multiuser backscatter communication (BC)-
based unmanned aerial vehicle (UAV)-enable mobile edge computing (MEC) network, both …
based unmanned aerial vehicle (UAV)-enable mobile edge computing (MEC) network, both …