Deep reinforcement learning for Internet of Things: A comprehensive survey

W Chen, X Qiu, T Cai, HN Dai… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The incumbent Internet of Things suffers from poor scalability and elasticity exhibiting in
communication, computing, caching and control (4Cs) problems. The recent advances in …

Blockchain for 5G and beyond networks: A state of the art survey

DC Nguyen, PN Pathirana, M Ding… - Journal of Network and …, 2020 - Elsevier
The fifth generation (5G) wireless networks are on the way to be deployed around the world.
The 5G technologies target to support diverse vertical applications by connecting …

Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Blockchain systems, technologies, and applications: A methodology perspective

B Cao, Z Wang, L Zhang, D Feng… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
In the past decade, blockchain has shown a promising vision to build trust without any
powerful third party in a secure, decentralized and scalable manner. However, due to the …

A review on application of blockchain in 5G and beyond networks: Taxonomy, field-trials, challenges and opportunities

M Tahir, MH Habaebi, M Dabbagh, A Mughees… - IEEE …, 2020 - ieeexplore.ieee.org
Until now, every evolution of communication standard was driven by the need for providing
high-speed connectivity to the end-user. However, 5G marks a radical shift from this focus as …

Scope of machine learning applications for addressing the challenges in next‐generation wireless networks

RK Samanta, B Sadhukhan… - CAAI Transactions …, 2022 - Wiley Online Library
The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …

Reinforcement learning in blockchain-enabled IIoT networks: A survey of recent advances and open challenges

F Jameel, U Javaid, WU Khan, MN Aman, H Pervaiz… - Sustainability, 2020 - mdpi.com
Blockchain is emerging as a promising candidate for the uberization of Internet services. It is
a decentralized, secure, and auditable solution for exchanging, and authenticating …

Intelligent sharing for LTE and WiFi systems in unlicensed bands: A deep reinforcement learning approach

J Tan, L Zhang, YC Liang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Operating LTE networks in unlicensed bands together with legacy WiFi systems is deemed
as a promising technique to support explosively growing mobile traffic. In conventional …

Artificial Intelligence for Web 3.0: A Comprehensive Survey

M Shen, Z Tan, D Niyato, Y Liu, J Kang, Z **ong… - ACM Computing …, 2024 - dl.acm.org
Web 3.0 is the next generation of the Internet built on decentralized technologies such as
blockchain and cryptography. It is born to solve the problems faced by the previous …

Blockchain-enabled dynamic spectrum access: cooperative spectrum sensing, access and mining

Y Pei, S Hu, F Zhong, D Niyato… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Traditionally, dynamic spectrum access (DSA) based on cooperative spectrum sensing
relies on a centralized fusion centre to fuse and store the sensing results, which is …