6G Internet of Things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The sixth-generation (6G) wireless communication networks are envisioned to revolutionize
customer services and applications via the Internet of Things (IoT) toward a future of fully …

6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap

AL Imoize, O Adedeji, N Tandiya, S Shetty - Sensors, 2021 - mdpi.com
The 5G wireless communication network is currently faced with the challenge of limited data
speed exacerbated by the proliferation of billions of data-intensive applications. To address …

6G vision, value, use cases and technologies from european 6G flagship project Hexa-X

MA Uusitalo, P Rugeland, MR Boldi, EC Strinati… - IEEE …, 2021 - ieeexplore.ieee.org
While 5G is being deployed and the economy and society begin to reap the associated
benefits, the research and development community starts to focus on the next, 6 th …

[HTML][HTML] Machine learning in beyond 5G/6G networks—State-of-the-art and future trends

VP Rekkas, S Sotiroudis, P Sarigiannidis, S Wan… - Electronics, 2021 - mdpi.com
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …

[HTML][HTML] A comprehensive survey on digital video forensics: Taxonomy, challenges, and future directions

AR Javed, Z Jalil, W Zehra, TR Gadekallu… - … Applications of Artificial …, 2021 - Elsevier
With the explosive advancements in smartphone technology, video uploading/downloading
has become a routine part of digital social networking. Video contents contain valuable …

[HTML][HTML] A comparative study on online machine learning techniques for network traffic streams analysis

A Shahraki, M Abbasi, A Taherkordi, AD Jurcut - Computer Networks, 2022 - Elsevier
Modern networks generate a massive amount of traffic data streams. Analyzing this data is
essential for various purposes, such as network resources management and cyber-security …

[HTML][HTML] Towards 6G internet of things: Recent advances, use cases, and open challenges

Z Qadir, KN Le, N Saeed, HS Munawar - ICT Express, 2022 - Elsevier
Smart services based on the Internet of Everything (IoE) are gaining considerable popularity
due to the ever-increasing demands of wireless networks. This demands the appraisal of the …

From statistical‐to machine learning‐based network traffic prediction

I Lohrasbinasab, A Shahraki… - Transactions on …, 2022 - Wiley Online Library
Nowadays, due to the exponential and continuous expansion of new paradigms such as
Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a …

Deep reinforcement learning for resource management on network slicing: A survey

JA Hurtado Sánchez, K Casilimas… - Sensors, 2022 - mdpi.com
Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …

Distributed ledger technologies for network slicing: A survey

F Javed, K Antevski, J Mangues-Bafalluy… - IEEE …, 2022 - ieeexplore.ieee.org
Network slicing is one of the fundamental tenets of Fifth Generation (5G)/Sixth Generation
(6G) networks. Deploying slices requires end-to-end (E2E) control of services and the …