A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches
This paper provides a comprehensive survey of the integration of graph neural networks
(GNN) and deep reinforcement learning (DRL) in end-to-end (E2E) networking solutions …
(GNN) and deep reinforcement learning (DRL) in end-to-end (E2E) networking solutions …
Dynamic Resource Allocation for Network Slicing with Multi-Tenants in 5G Two-Tier Networks
Virtualization is a core 5G network technology which helps telecom companies significantly
reduce capital expenditure and operating expenses by deploying multiple services on the …
reduce capital expenditure and operating expenses by deploying multiple services on the …
A dynamic channel aggregation strategy with a maximum aggregation number in cognitive radio networks based on channel classification
Y Zhao, S Yuan, Y Li, H Gao - Computer Communications, 2024 - Elsevier
In traditional cognitive radio networks (CRNs), users are generally divided into two
categories: primary users (PUs) and secondary users (SUs). The transmission rates of …
categories: primary users (PUs) and secondary users (SUs). The transmission rates of …
DDPG with Transfer Learning and Meta Learning Framework for Resource Allocation in Underlay Cognitive Radio Network
N Mishra, S Srivastava, SN Sharan - Wireless Personal Communications, 2023 - Springer
Cognitive Radio (CR) is an intelligent device equipped with a Cognitive Engine (CE)
capable of making decisions and finding the best policy for a dynamic network. Superior …
capable of making decisions and finding the best policy for a dynamic network. Superior …
Underlay Cognitive Radio Resource Management with Hybrid Meta-Loss Learning
N Mishra, S Srivastava, SN Sharan - Iranian Journal of Science and …, 2024 - Springer
Cognitive Radio (CR) is an adaptable communication device driven by a Cognitive Engine
(CE). A suitable machine-learning strategy can increase the learning potential of CE. This …
(CE). A suitable machine-learning strategy can increase the learning potential of CE. This …
Taylor Tuna Optimizer‐based hybrid deep Q‐network for channel assignment in cognitive radio networks with user mobility and power control
H Sekar, S Appranchi - International Journal of Communication …, 2024 - Wiley Online Library
Cognitive radio networks (CRNs) have emerged as a promising solution to address the
spectrum scarcity problem by allowing unlicensed secondary users (SUs) to …
spectrum scarcity problem by allowing unlicensed secondary users (SUs) to …