Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts

X You, CX Wang, J Huang, X Gao, Z Zhang… - Science China …, 2021 - Springer
The fifth generation (5G) wireless communication networks are being deployed worldwide
from 2020 and more capabilities are in the process of being standardized, such as mass …

A mini-review of machine learning in big data analytics: Applications, challenges, and prospects

IK Nti, JA Quarcoo, J Aning… - Big Data Mining and …, 2022 - ieeexplore.ieee.org
The availability of digital technology in the hands of every citizenry worldwide makes an
available unprecedented massive amount of data. The capability to process these gigantic …

Computation offloading and resource allocation in wireless cellular networks with mobile edge computing

C Wang, C Liang, FR Yu, Q Chen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Mobile edge computing has risen as a promising technology for augmenting the
computational capabilities of mobile devices. Meanwhile, in-network caching has become a …

Integrated networking, caching, and computing for connected vehicles: A deep reinforcement learning approach

Y He, N Zhao, H Yin - IEEE transactions on vehicular …, 2017 - ieeexplore.ieee.org
The developments of connected vehicles are heavily influenced by information and
communications technologies, which have fueled a plethora of innovations in various areas …

Industrial internet: A survey on the enabling technologies, applications, and challenges

JQ Li, FR Yu, G Deng, C Luo, Z Ming… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
This paper provides an overview of the Industrial Internet with the emphasis on the
architecture, enabling technologies, applications, and existing challenges. The Industrial …

Unmanned aerial vehicle for internet of everything: Opportunities and challenges

Y Liu, HN Dai, Q Wang, MK Shukla, M Imran - Computer communications, 2020 - Elsevier
The recent advances in information and communication technology (ICT) have further
extended Internet of Things (IoT) from the sole “things” aspect to the omnipotent role of …

Software-defined networks with mobile edge computing and caching for smart cities: A big data deep reinforcement learning approach

Y He, FR Yu, N Zhao, VCM Leung… - IEEE Communications …, 2017 - ieeexplore.ieee.org
Recent advances in networking, caching, and computing have significant impacts on the
developments of smart cities. Nevertheless, these important enabling technologies have …

Deep-reinforcement-learning-based optimization for cache-enabled opportunistic interference alignment wireless networks

Y He, Z Zhang, FR Yu, N Zhao, H Yin… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Both caching and interference alignment (IA) are promising techniques for next-generation
wireless networks. Nevertheless, most of the existing works on cache-enabled IA wireless …

Big data meet cyber-physical systems: A panoramic survey

R Atat, L Liu, J Wu, G Li, C Ye, Y Yang - IEEE Access, 2018 - ieeexplore.ieee.org
The world is witnessing an unprecedented growth of cyber-physical systems (CPS), which
are foreseen to revolutionize our world via creating new services and applications in a …

Big data and business analytics: Trends, platforms, success factors and applications

IA Ajah, HF Nweke - Big data and cognitive computing, 2019 - mdpi.com
Big data and business analytics are trends that are positively impacting the business world.
Past researches show that data generated in the modern world is huge and growing …