Survey on joint paradigm of 5G and SDN emerging mobile technologies: Architecture, security, challenges and research directions
Modern communication systems are probable to surface new challenges while introducing
innovative fronts concerning context consciousness in wireless networks. The main outcome …
innovative fronts concerning context consciousness in wireless networks. The main outcome …
Transformer-based wireless traffic prediction and network optimization in o-ran
MA Habib, PEI Rivera, Y Ozcan… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This paper introduces an innovative method for predicting wireless network traffic in concise
temporal intervals for Open Radio Access Networks (O-RAN) using a Transformer …
temporal intervals for Open Radio Access Networks (O-RAN) using a Transformer …
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 …
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
Traffic steering (TS) is a promising approach to support various service requirements and
enhance transmission reliability by distributing network traffic loads to appropriate base …
enhance transmission reliability by distributing network traffic loads to appropriate base …
Stochastic delay guarantees for devices with dual connectivity
M Prakash, A Abdrabou… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Dual connectivity (DC) is a feature that allows dual-wireless interface devices to concurrently
utilize radio resources from two different wireless network technologies. The aggregate data …
utilize radio resources from two different wireless network technologies. The aggregate data …
Hierarchical reinforcement learning based traffic steering in multi-RAT 5G deployments
In 5G non-standalone mode, an intelligent traffic steering mechanism can vastly aid in
ensuring a smooth user experience by selecting the best radio access technology (RAT) …
ensuring a smooth user experience by selecting the best radio access technology (RAT) …
Machine Learning-Enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach
Traffic steering is a crucial technology for wireless networks, and multiple efforts have been
put into developing efficient machine learning (ML)-enabled traffic steering schemes for …
put into developing efficient machine learning (ML)-enabled traffic steering schemes for …
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 …
detection of malignant cells in the lungs, crucial for processes such as oxygen provision and …
LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning
Intent-based network automation is a promising tool to enable easier network management
however certain challenges need to be effectively addressed. These are: 1) processing …
however certain challenges need to be effectively addressed. These are: 1) processing …
Distributed Attacks over Federated Reinforcement Learning-Enabled Cell Sleep Control
Federated learning (FL) is particularly useful in wireless networks due to its distributed
implementation and privacy-preserving features. However, as a distributed learning system …
implementation and privacy-preserving features. However, as a distributed learning system …