Empowering the 6G cellular architecture with Open RAN

M Polese, M Dohler, F Dressler… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Innovation and standardization in 5G have brought advancements to every facet of the
cellular architecture. This ranges from the introduction of new frequency bands and …

Intent-driven intelligent control and orchestration in o-ran via hierarchical reinforcement learning

MA Habib, H Zhou, PE Iturria-Rivera… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
rApps and xApps need to be controlled and orchestrated well in the open radio access
network (O-RAN) so that they can deliver a guaranteed network performance in a complex …

On-device intelligence for 5g ran: Knowledge transfer and federated learning enabled ue-centric traffic steering

H Zhang, H Zhou, M Elsayed, M Bavand… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Traffic steering (TS) is a promising approach to support various service requirements and
enhance transmission reliability by distributing network traffic loads to appropriate base …

Attention-Based DenseNet for Lung Cancer Classification Using CT Scan and Histopathological Images

J Uddin - Designs, 2024 - mdpi.com
Lung cancer is identified by the uncontrolled proliferation of cells in lung tissues. The timely
detection of malignant cells in the lungs, crucial for processes such as oxygen provision and …

DRL-Driven Intelligent Access Traffic Management for Hybrid 5G-WiFi Multi-RAT Networks

X Zhou, H Li, A Bravalheri, A Emami… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
Integrating mobile networks with Non-3GPP networks provides a promising solution to
mitigate the wireless RF spectrum scarcity. Despite the maturity of integration technologies …

A Deep Reinforcement Learning-Based RNN Model in a Traffic Control System for 5GEnvisioned Internet of Vehicles.

H Macherla, VR Muvva, KK Lella… - Mathematical …, 2024 - search.ebscohost.com
In metropolitan areas, traffic jams on city streets are a major source of annoyance and
financial losses. Recent advancements in data processing algorithms and the widespread …