When 5G meets deep learning: a systematic review
This last decade, the amount of data exchanged on the Internet increased by over a
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …
Self-organizing networks for 5g and beyond: A view from the top
AG Papidas, GC Polyzos - Future Internet, 2022 - mdpi.com
We describe self-organizing network (SON) concepts and architectures and their potential to
play a central role in 5G deployment and next-generation networks. Our focus is on the basic …
play a central role in 5G deployment and next-generation networks. Our focus is on the basic …
From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …
demand for even faster communication networks, we expected to witness the birth of a new …
通信人工智能的下一个十年
欧阳晔, 王立磊, 杨爱东, 马利克, 萨哈, 大卫… - 电信 …, 2021 - infocomm-journal.com
移动通信技术走过了37 年的发展历程, 人工智能技术也已走过了64 年的发展历程.
从早期的各自独立演进, 到5G 与人工智能开始深度融合发展,“5G 与人工智能” …
从早期的各自独立演进, 到5G 与人工智能开始深度融合发展,“5G 与人工智能” …
The next decade of telecommunications artificial intelligence
It has been an exciting journey since the mobile communications and artificial intelligence
were conceived 37 years and 64 years ago. While both fields evolved independently and …
were conceived 37 years and 64 years ago. While both fields evolved independently and …
Anomaly Detection in Self-Organizing Mobile Networks Motivated by Quality of Experience
S Caleb, SJJ Thangaraj - 2023 Fifth International Conference …, 2023 - ieeexplore.ieee.org
In today's self-organizing mobile communication networks, the approaches that are used for
anomaly detection use network-centric tactics to find faulty service nodes. These methods …
anomaly detection use network-centric tactics to find faulty service nodes. These methods …
Machine Learning-based Cellular Traffic Prediction Using Data Reduction Techniques
Estimating and analyzing traffic patterns become essential in managing Quality of Service
(QoS) metrics while assessing internet data traffic in cellular networks. Cellular network …
(QoS) metrics while assessing internet data traffic in cellular networks. Cellular network …
5G heterogeneous network (HetNets): a self-optimization technique for vertical handover management
K Kiran - International Journal of Pervasive Computing and …, 2023 - emerald.com
Purpose Vertical handover has been grown rapidly due to the mobility model improvements.
These improvements are limited to certain circumstances and do not provide the support in …
These improvements are limited to certain circumstances and do not provide the support in …
6G Network Operation Support System
Y Ouyang, Y Zhang, X Ye, Y Liu, X Wang, J Sun… - arXiv preprint arXiv …, 2023 - arxiv.org
6G is the next-generation intelligent and integrated digital information infrastructure,
characterized by ubiquitous interconnection, native intelligence, multi-dimensional …
characterized by ubiquitous interconnection, native intelligence, multi-dimensional …
Investigation into user-centric QoE and network-centric parameters for YouTube service on mobile networks
P Anchuen, P Uthansakul - … of the 7th International Conference on …, 2019 - dl.acm.org
The number of users on mobile networks has continuously increased due to many attractive
multimedia services. According to this reason, the service operators have to regularly …
multimedia services. According to this reason, the service operators have to regularly …