Oct 28, 2021 · We apply machine learning (ML) to the fifth-generation Radio Access Network (5G RAN) slicing in this paper for the estimation and the prediction of the channel ...
(3) We develop a DQN-based RRM for 5G RAN network slicing to optimize the performance of broadcasting service in the mobile computing environment. Particularly ...
Authors in [55] , highlights that CNN and LSTM techniques enhance broadcasting quality in 5G RAN network slicing by capturing temporal and geographical patterns ...
5G network slicing: How to simplify and monetize through machine ...
www.qualcomm.com › onq › 2023/06
Jun 28, 2023 · With advanced machine learning, the Qualcomm Edgewise Suite RAN Slice Controller accurately translates slice throughput requirements into ...
Missing: Broadcasting | Show results with:Broadcasting
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What is 5G ran slicing?
Jun 1, 2024 · In this paper, we address the above-mentioned issues by modeling a cost-efficient radio resource management in 5G NR featuring network slicing, named CERS.
Machine Learning Based 5G RAN Slicing for Broadcasting Services. 0.00. (0 Ratings ). Add to Wishlist. Python. Brand Python View other products. Price. ₹ ...
Duration: 0:18
Posted: Dec 23, 2022
Posted: Dec 23, 2022
We propose a new architecture not only including convolutional neural network (CNN), but also fusing long short-term memory network (LSTM) to implement channel ...
Sep 17, 2024 · In this paper, we propose a cooperative slicing mechanism for 5G networks based on machine learning. Our solution involves the deployment of a ...
The feature of individual slice specification in network slicing plays a critical role in future 5G networks, due to the high heterogeneity of different 5G ...
Missing: Broadcasting | Show results with:Broadcasting