过去一年中添加的文章，按日期排序
EDgE: Enhancing Predictability in Decentralized Network Slices through Federated Learning–A Multi layered Ecosystem
G Chandrasekaran, A Kumar, K Subramaniam… - IEEE …, 2024 - ieeexplore.ieee.org
9 天前 - … The NS being an integral key technology for 5G and 6G … [6] introduce a federated
deep reinforcement learning … data, its centralized nature poses complexity in case of inter CSP …
deep reinforcement learning … data, its centralized nature poses complexity in case of inter CSP …
Telecom's Artificial General Intelligence (AGI) Vision: Beyond the GenAI Frontier
C Chaccour, A Karapantelakis, T Murphy… - IEEE Network, 2024 - ieeexplore.ieee.org
11 天前 - … related to scalability and complexity that must be overcome … GenAI Deployments
As the complexity grows in 5G, there is … In the realm of causal machine learning, interventions …
As the complexity grows in 5G, there is … In the realm of causal machine learning, interventions …
Novel resource allocation techniques for 5G/B5G integrated satellite-aerial-terrestrial networks
M Karavolos - 2024 - didaktorika.gr
13 天前 - … The proposed approach simplifies network operations by reducing the complexity …
solution are formulated in detail. Additionally, an innovative unsupervised Machine Learning (…
solution are formulated in detail. Additionally, an innovative unsupervised Machine Learning (…
Aging-Resistant Wideband Precoding in 5G and Beyond Using 3D Convolutional Neural Networks
15 天前 - … This paper presents two deeplearning frameworks to solve … Secondly, we devise
a deep learning-based framework to … and compare the computational complexity, which is …
a deep learning-based framework to … and compare the computational complexity, which is …
Resource Allocation in D2D‐Enabled 5G Networks Using Multiagent Reinforcement Learning
KOB Obour Agyekum, AY Boakye… - Journal of Computer …, 2024 - Wiley Online Library
26 天前 - … complexity, and as such, implementing a suboptimal resource allocation scheme
with minimal complexity … Thankfully, the utilization of reinforcement learning (RL) has shown …
with minimal complexity … Thankfully, the utilization of reinforcement learning (RL) has shown …
Deep reinforcement learning for online combinatorial resource allocation with arbitrary state and action spaces
TZ Gebrekidan - 2024 - eprints.soton.ac.uk
28 天前 - … of 5G to 6G. Deep reinforcement learning (DRL) is a subfield of ML that integrates
… , faster convergence, and lower execution complexity compared to conventional sequential …
… , faster convergence, and lower execution complexity compared to conventional sequential …
Attention Model-Driven Maddpg Algorithm for Delay and Cost Aware Placement of Service Function Chains in 5g
J Munshi, S Sultana, MJ Hassan, P Roy… - Available at SSRN … - papers.ssrn.com
45 天前 - … This method focuses on neighboring nodes to help agents reduce the complexity
of the solution and effectively capture the dynamic nature of the network environment. …
of the solution and effectively capture the dynamic nature of the network environment. …
Reinforcement Learning-based anti-Jamming Solution for Aerial RIS-aided Dense Dynamic Multi-User Environments
60 天前 - … We consider a 5G Advanced wireless communication system with MIMO technology
in … This highlights the added complexity our RL-based PPO agent faces when dealing with …
in … This highlights the added complexity our RL-based PPO agent faces when dealing with …
A Deep Learning Approach to 5G Physical Layer Abstraction for Data Channels
68 天前 - … In 5G, three use cases can be identified based on the … (eMBB), massive machine-type
communication (mMTC), and ultra… of a 5G network, continually increasing in complexity as …
communication (mMTC), and ultra… of a 5G network, continually increasing in complexity as …
Real-time fusion multi-tier DNN-based collaborative IDPS with complementary features for secure UAV-enabled 6G networks
72 天前 - … on the most suited Machine Learning (ML) algorithms for … process is intricate
and attack classification complexity is … we divide the learning dataset, NF-UQ-NIDS-v2+5G-NIDD …
and attack classification complexity is … we divide the learning dataset, NF-UQ-NIDS-v2+5G-NIDD …