longtermevolution
2020-08-16, 05:07 AM
Article:
Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future.
ABSTRACT
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of intelligent networks with the provision of some isolated artificial intelligence (AI) operations. However, fully intelligent network orchestration and management for providing innovative services will only be realized in Beyond 5G (B5G) networks.
The increasingly stringent performance requirements of emerging networks may finally trigger the deployment of some interesting new technologies, such as large intelligent surfaces, electromagnetic-orbital angular momentum, visible light communications, and cell-free communications, to name a few.
The multi-state, multi-dimensional nature of the network state, requiring the real-time knowledge, can be viewed as a quantum uncertainty problem. In this regard,
the emerging paradigms of machine learning (ML), quantum computing (QC), and quantum ML (QML) and their synergies with communication networks can be considered as core 6G enablers.
Authors:
SYED JUNAID NAWAZ, SHREE KRISHNA SHARMA, SHURJEEL WYNE, MOHAMMAD N. PATWARY, MD. ASADUZZAMAN
Link:
https://dropgalaxy.in/u66wdq7rgs2n
Keep Learning
Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future.
ABSTRACT
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of intelligent networks with the provision of some isolated artificial intelligence (AI) operations. However, fully intelligent network orchestration and management for providing innovative services will only be realized in Beyond 5G (B5G) networks.
The increasingly stringent performance requirements of emerging networks may finally trigger the deployment of some interesting new technologies, such as large intelligent surfaces, electromagnetic-orbital angular momentum, visible light communications, and cell-free communications, to name a few.
The multi-state, multi-dimensional nature of the network state, requiring the real-time knowledge, can be viewed as a quantum uncertainty problem. In this regard,
the emerging paradigms of machine learning (ML), quantum computing (QC), and quantum ML (QML) and their synergies with communication networks can be considered as core 6G enablers.
Authors:
SYED JUNAID NAWAZ, SHREE KRISHNA SHARMA, SHURJEEL WYNE, MOHAMMAD N. PATWARY, MD. ASADUZZAMAN
Link:
https://dropgalaxy.in/u66wdq7rgs2n
Keep Learning