Artificial intelligence for 5g wireless systems: Opportunities, challenges, and future research direction

Y Arjoune, S Faruque - 2020 10th annual computing and …, 2020 - ieeexplore.ieee.org
The advent of the wireless communications systems augurs new cutting-edge technologies,
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …

6G wireless networks: Vision, requirements, architecture, and key technologies

Z Zhang, Y Xiao, Z Ma, M Xiao, Z Ding… - IEEE vehicular …, 2019 - ieeexplore.ieee.org
A key enabler for the intelligent information society of 2030, 6G networks are expected to
provide performance superior to 5G and satisfy emerging services and applications. In this …

On softwarization of intelligence in 6G networks for ultra-fast optimal policy selection: Challenges and opportunities

S Hashima, ZM Fadlullah, MM Fouda… - IEEE …, 2022 - ieeexplore.ieee.org
The emerging Sixth Generation (6G) communication networks promising 100 to 1000 Gb/s
rates and ultra-low latency (1 millisecond) are anticipated to have native, embedded Artificial …

AI-enabled future wireless networks: Challenges, opportunities, and open issues

M Elsayed, M Erol-Kantarci - IEEE Vehicular Technology …, 2019 - ieeexplore.ieee.org
An expected plethora of demanding services and use cases mandates a revolutionary shift
in the way future wireless network resources are managed. Indeed, when application …

AI and 6G security: Opportunities and challenges

Y Siriwardhana, P Porambage… - 2021 Joint European …, 2021 - ieeexplore.ieee.org
While 5G is well-known for network cloudification with micro-service based architecture, the
next generation networks or the 6G era is closely coupled with intelligent network …

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

Z Qadir, KN Le, N Saeed, HS Munawar - ICT express, 2023 - 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 …

The Hexa-X project vision on Artificial Intelligence and Machine Learning-driven Communication and Computation co-design for 6G

M Merluzzi, T Borsos, N Rajatheva, AA Benczúr… - IEEE …, 2023 - ieeexplore.ieee.org
This paper provides an overview of the most recent advancements and outcomes of the
European 6G flagship project Hexa-X, on the topic of in-network Artificial Intelligence (AI) …

Intelligence in IoT-based 5G networks: Opportunities and challenges

N Javaid, A Sher, H Nasir… - IEEE Communications …, 2018 - ieeexplore.ieee.org
The requirement of high data rates, low latency, efficient use of spectrum, and coexistence of
different network technologies are major considerations in Internet of Things (IoT)-based fifth …

[HTML][HTML] Survey on intelligence edge computing in 6G: Characteristics, challenges, potential use cases, and market drivers

A Al-Ansi, AM Al-Ansi, A Muthanna, IA Elgendy… - Future Internet, 2021 - mdpi.com
Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks
and beyond. IEC is considered to be a promising backbone of future services and wireless …

[HTML][HTML] Artificial intelligence applications and self-learning 6G networks for smart cities digital ecosystems: Taxonomy, challenges, and future directions

L Ismail, R Buyya - Sensors, 2022 - mdpi.com
The recent upsurge of smart cities' applications and their building blocks in terms of the
Internet of Things (IoT), Artificial Intelligence (AI), federated and distributed learning, big data …