Quantum-Inspired Machine Learning for 6G: Fundamentals, Security, Resource Allocations, Challenges, and Future Research Directions (2022)
Attributed to:
Modelling, Analysis, and Design of Ultra-Dense Cellular Networks
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/ojvt.2022.3202876
Publication URI: http://dx.doi.org/10.1109/ojvt.2022.3202876
Type: Journal Article/Review
Parent Publication: IEEE Open Journal of Vehicular Technology