Edge-cloud polarization and collaboration: A comprehensive survey for ai

J Yao, S Zhang, Y Yao, F Wang, J Ma… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
Influenced by the great success of deep learning via cloud computing and the rapid
development of edge chips, research in artificial intelligence (AI) has shifted to both of the …

A review of deep learning in 5G research: Channel coding, massive MIMO, multiple access, resource allocation, and network security

A Ly, YD Yao - IEEE Open Journal of the Communications …, 2021 - ieeexplore.ieee.org
The current development of 5G technology is flourishing with widespread deployment
across the world at a rapid pace. However, there is still a demand concerning 5G research …

URLLC for 5G and beyond: Requirements, enabling incumbent technologies and network intelligence

R Ali, YB Zikria, AK Bashir, S Garg, HS Kim - IEEE Access, 2021 - ieeexplore.ieee.org
The tactile internet (TI) is believed to be the prospective advancement of the internet of
things (IoT), comprising human-to-machine and machine-to-machine communication. TI …

Edge AI for Internet of Energy: Challenges and perspectives

Y Himeur, A Sayed, A Alsalemi, F Bensaali, A Amira - Internet of Things, 2023 - Elsevier
The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …

GAN for load estimation and traffic-aware network selection for 5G terminals

C Leng, C Yang, S Chen, Q Wu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
In the face of the user-centric access network architecture adopted by the fifth-generation
(5G) mobile communication network terminals, the communication capability of terminals …

[HTML][HTML] Intelligent Resource Orchestration for 5G Edge Infrastructures

R Moreno-Vozmediano, RS Montero, E Huedo… - Future Internet, 2024 - mdpi.com
The adoption of edge infrastructure in 5G environments stands out as a transformative
technology aimed at meeting the increasing demands of latency-sensitive and data …

Weather-aware fiber-wireless traffic prediction using graph convolutional networks

M Abdullah, J He, K Wang - IEEE Access, 2022 - ieeexplore.ieee.org
In recent years, there has been an increased demand for better and faster communication
networks to meet the needs of Beyond 5G network. The fiber-wireless integrated network …

Multi-User Computation Offloading and Resource Allocation Algorithm in a Vehicular Edge Network

X Liu, J Zheng, M Zhang, Y Li, R Wang, Y He - Sensors, 2024 - mdpi.com
In Vehicular Edge Computing Network (VECN) scenarios, the mobility of vehicles causes the
uncertainty of channel state information, which makes it difficult to guarantee the Quality of …

Optimal network protocol selection for competing flows via online learning

X Zhang, S Chen, Y Zhang, Y Im… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Today's Internet must support applications with increasingly dynamic and heterogeneous
connectivity requirements, such as video streaming and the Internet of Things. Yet current …

[PDF][PDF] 基于深度强化学习的多用户计算卸载优化模型和算法

李志华, 余自立 - 电子与信息学报, 2024 - jeit.ac.cn
在移动边缘计算(MEC) 密集部署场景中, 边缘服务器负载的不确定性容易造成边缘服务器过载,
从而导致计算卸载过程中时延和能耗显著增加. 针对该问题, 该文提出一种多用户计算卸载优化 …