6G driven fast computational networking framework for healthcare applications

PN Srinivasu, MF Ijaz, J Shafi, M Woźniak… - IEEE …, 2022 - ieeexplore.ieee.org
New Sixth-generation (6G) networks rely heavily on the Intelligence Internet of Things (IIoT)
to store and process data more efficiently. 6G is desired to offer ultra-low latency, high …

5G-based smart healthcare network: architecture, taxonomy, challenges and future research directions

A Ahad, M Tahir, KLA Yau - IEEE access, 2019 - ieeexplore.ieee.org
Healthcare is undergoing a rapid transformation from traditional hospital and specialist
focused approach to a distributed patient-centric approach. Advances in several …

A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems

A Salh, L Audah, NSM Shah, A Alhammadi… - IEEE …, 2021 - ieeexplore.ieee.org
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …

Survey on machine learning for intelligent end-to-end communication toward 6G: From network access, routing to traffic control and streaming adaption

F Tang, B Mao, Y Kawamoto… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite
important for network optimization. The current 5G and conceived 6G network in the future …

Toward ML-based energy-efficient mechanism for 6G enabled industrial network in box systems

AH Sodhro, N Zahid, L Wang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Machine learning (ML) techniques in association to emerging sixth generation (6G)
technologies, ie, massive Internet of Things (IoT), big data analytics have caught too much …

Balancing QoS and security in the edge: Existing practices, challenges, and 6G opportunities with machine learning

ZM Fadlullah, B Mao, N Kato - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
While the emerging 6G networks are anticipated to meet the high-end service quality
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …

At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives

A Bourechak, O Zedadra, MN Kouahla, A Guerrieri… - Sensors, 2023 - mdpi.com
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …

Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …

Internet of Things (IoT) in 5G wireless communications

W Ejaz, A Anpalagan, MA Imran, M Jo, M Naeem… - IEEE …, 2016 - ieeexplore.ieee.org
During the past decade, the Internet of Things (IoT) has revolutionized the ubiquitous
computing with multitude of applications built around various types of sensors. A vast …

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 …