SIM+: A comprehensive implementation-agnostic information model assisting AI-driven optimization for beyond 5G networks

L Magoula, N Koursioumpas, T Panagea… - Computer Networks, 2024 - Elsevier
Abstract Forthcoming beyond 5G (B5G) network systems are expected to introduce a new
era in the mobile networks, supporting new and challenging use cases and applications …

Redefining wireless communication for 6G: Signal processing meets deep learning with deep unfolding

A Jagannath, J Jagannath… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The year 2019 witnessed the rollout of the 5G standard, which promises to offer significant
data rate improvement over 4G. While 5G is still in its infancy, there has been an increased …

[HTML][HTML] Conjointly active and passive modelings with deep neural networks as fully automated optimizations for upper-mid band 6G communications

L Kouhalvandi, L Matekovits - Scientific Reports, 2024 - nature.com
Today wireless systems include the fifth and sixth generations (5G and 6G) technologies
and are growing day by day that result in exponentially increasing data traffic. For providing …

Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towards 6G

G Zhu, Z Lyu, X Jiao, P Liu, M Chen, J Xu, S Cui… - Science China …, 2023 - Springer
Pushing artificial intelligence (AI) from central cloud to network edge has reached board
consensus in both industry and academia for materializing the vision of artificial intelligence …

Toward ubiquitous and intelligent 6G networks: From architecture to technology

W Xu, Y Huang, W Wang, F Zhu… - Science China …, 2023 - search.proquest.com
The sixth-generation (6G) network is envisioned to support growing Internet connections
with the requirements of higher transmission rate, higher reliability, lower latency, etc. While …

Resource-Efficient DNN Training and Inference for Heterogeneous Edge Intelligence in 6G

E Cui, W Zhang, D Yang, W Wu… - 2021 IEEE 23rd Int Conf …, 2021 - ieeexplore.ieee.org
Edge intelligence is expected to be a key enabler of the future sixth generation (6G) mobile
network. However, the heterogeneous characteristics of edge intelligence, such as …

Knowledge Collaboration-Based Resource Allocation in 6G IoT: A Graph Attention RL Approach

Z Huang, FR Yu, J Cai - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
In future 6G-enabled Internet of Things (IoT), users and devices will be divided into
numerous distributed domains with smaller base station coverage due to the utilization of …

Big data assisted CRAN enabled 5G SON architecture

K Khurshid, AA Khan, H Siddiqui, I Rashid… - Journal of ICT …, 2019 - pure.ulster.ac.uk
The recent development of Big Data, Internet of Things (IoT) and 5G network technology
offers a plethora of opportunities to the IT industry and mobile network operators. 5G cellular …

A Comprehensive Survey on Revolutionizing Connectivity Through Artificial Intelligence-Enabled Digital Twin Network in 6G

M Sheraz, TC Chuah, YL Lee, MM Alam, Z Han - IEEE Access, 2024 - ieeexplore.ieee.org
The deployment of 5G has exposed capacity constraints in realizing the key vision of the
Internet of Everything (IoE). Therefore, the researchers are exploring potentials of Digital …

DECENT: Deep learning enabled green computation for edge centric 6G networks

PK Kashyap, S Kumar, A Jaiswal… - … on Network and …, 2022 - ieeexplore.ieee.org
Edge computing has received significant attention from academia and industries and has
emerged as a promising solution for enhancing the information processing capability at the …