Quantum-Driven Energy-Efficiency Optimization for Next-Generation Communications Systems

Quantum-Driven Energy-Efficiency Optimization for Next-Generation Communications Systems

The advent of deep-learning technology promises major leaps forward in addressing the ever-enduring problems of wireless resource control and optimization, and improving key network performances, such as energy efficiency, spectral efficiency, transmission latency, etc. Therefore, a common understan...

Full description

Bibliographic Details
Main Authors: Su Fong Chien, Heng Siong Lim, Michail Alexandros Kourtis, Qiang Ni, Alessio Zappone, Charilaos C. Zarakovitis
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Energies
Subjects:
energy efficiency
quantum computing
quantum deep neural networks
quantum entanglement
quantum machine learning
quantum superposition
Online Access:https://www.mdpi.com/1996-1073/14/14/4090

Internet

https://www.mdpi.com/1996-1073/14/14/4090

Similar Items