Holistic network virtualization and pervasive network intelligence for 6G

X Shen, J Gao, W Wu, M Li, C Zhou… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …

Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

A comprehensive overview on 5G-and-beyond networks with UAVs: From communications to sensing and intelligence

Q Wu, J Xu, Y Zeng, DWK Ng… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Due to the advancements in cellular technologies and the dense deployment of cellular
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …

[HTML][HTML] Green internet of things using UAVs in B5G networks: A review of applications and strategies

SH Alsamhi, F Afghah, R Sahal, A Hawbani… - Ad Hoc Networks, 2021 - Elsevier
Abstract Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced
technology that can enhance people life quality and smartness of cities dramatically and …

A survey of decentralizing applications via blockchain: The 5G and beyond perspective

K Yue, Y Zhang, Y Chen, Y Li, L Zhao… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Trusted third parties (TTPs) are frequently used for serving as an authority to issue and verify
transactions in applications. Although the TTP-based paradigm provides customers with …

Data offloading in UAV-assisted multi-access edge computing systems under resource uncertainty

PA Apostolopoulos, G Fragkos… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this paper, a novel data offloading decision-making framework is proposed, where users
have the option to partially offload their data to a complex Multi-access Edge Computing …

AoI-energy-aware UAV-assisted data collection for IoT networks: A deep reinforcement learning method

M Sun, X Xu, X Qin, P Zhang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Thanks to the inherent characteristics of flexible mobility and autonomous operation,
unmanned aerial vehicles (UAVs) will inevitably be integrated into 5G/B5G cellular networks …

Energy-efficient joint task offloading and resource allocation in OFDMA-based collaborative edge computing

L Tan, Z Kuang, L Zhao, A Liu - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emergent architecture, which brings computation and
storage resources to the edge of mobile network and provides rich services and applications …

Resource allocation and service provisioning in multi-agent cloud robotics: A comprehensive survey

M Afrin, J Jin, A Rahman, A Rahman… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Robotic applications nowadays are widely adopted to enhance operational automation and
performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0 …

UAV-assisted MEC networks with aerial and ground cooperation

Y Xu, T Zhang, Y Liu, D Yang, L Xiao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the high altitude and flexible mobility, unmanned aerial vehicle (UAV) assisted mobile
edge computing (MEC) is becoming a promising technology to cope with the computation …