Survey on machine learning for intelligent end-to-end communication toward 6G: From network access, routing to traffic control and streaming adaption
The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite
important for network optimization. The current 5G and conceived 6G network in the future …
important for network optimization. The current 5G and conceived 6G network in the future …
Machine learning for large-scale optimization in 6g wireless networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era
MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …
services to the users with the help of innovative network and device technologies. In recent …
[图书][B] White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020
This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
Learning-driven wireless communications, towards 6G
MJ Piran, DY Suh - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
The fifth generation (5G) of wireless communication is in its infancy, and its evolving
versions will be launched over the coming years. However, according to exposing the …
versions will be launched over the coming years. However, according to exposing the …
AI for 5G: research directions and paradigms
Wireless communication technologies such as fifth generation mobile networks (5G) will not
only provide an increase of 1000 times in Internet traffic in the next decade but will also offer …
only provide an increase of 1000 times in Internet traffic in the next decade but will also offer …
Adaptive online decision method for initial congestion window in 5G mobile edge computing using deep reinforcement learning
Mobile edge computing provides users with low response time and avoids unnecessary
data transmission. Due to the deployment of 5G, the emerging edge systems can provide …
data transmission. Due to the deployment of 5G, the emerging edge systems can provide …
Asynchronous time-sensitive networking for 5G backhauling
J Prados-Garzon, T Taleb - IEEE Network, 2021 - ieeexplore.ieee.org
Fifth Generation (5G) phase 2 rollouts are around the corner to make mobile ultra-reliable
and low-latency services a reality. However, to realize that scenario, besides the new 5G …
and low-latency services a reality. However, to realize that scenario, besides the new 5G …
Efficient and reliable hybrid deep learning-enabled model for congestion control in 5G/6G networks
Future generation networks such as millimeter-wave LAN, broadband wireless access
systems, and 5th or 6th generation (5G/6G) networks demand more security, low latency …
systems, and 5th or 6th generation (5G/6G) networks demand more security, low latency …
State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
相关搜索
- network access machine learning
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- network access streaming adaption
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- qos and security machine learning
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- existing practices machine learning
- wireless networks machine learning