H Ma, B Ji, H Wu, L Xing - Physical Communication, 2024 - Elsevier
Driven by the Quality of Experience (QoE) demands for video analysis applications within contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …
X Liu, ZY Chai, YL Li, YY Cheng, Y Zeng - Information Sciences, 2023 - Elsevier
Unmanned aerial vehicle-assisted multi-access edge computing (UAV-MEC) plays an important role in some complex environments such as mountainous and disaster areas …
Abstract Future sixth-generation (6G) networks will rely on the synergies of edge computing and machine learning (ML) to build an intelligent edge, where communication and …
A Zhu, Z Zeng, S Guo, H Lu, M Ma, Z Zhou - Computers and Electronics in …, 2023 - Elsevier
Intelligent robotics, as a frontier field of widespread attention, is increasingly applied to realize cyber-physical-social system (CPSS). Taking Agriculture 4.0 as one use case, using …
Due to their limited computation capabilities and battery life, Internet of Things (IoT) networks face significant challenges in executing delay-sensitive and computation-intensive mobile …
Z Bai, Y Lin, Y Cao, W Wang - IEEE Transactions on Mobile …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) has received tremendous attention in the area of edge computing due to its flexible deployment and wide coverage accessibility. In weak …
Next-generation wireless networks are expected to support a massive amount of Internet of Things (IoT) devices in delivering a wide range of novel resource-intensive applications. IoT …
The proliferation of novel infotainment services, such as virtual reality (VR)-based services, has fundamentally changed the existing mobile networks. These bandwidth-hungry services …
A Karamzade, K Kim, M Kalsi, R Fox - arXiv preprint arXiv:2403.12309, 2024 - arxiv.org
In standard Reinforcement Learning settings, agents typically assume immediate feedback about the effects of their actions after taking them. However, in practice, this assumption may …