A game-theoretic approach to cache and radio resource management in fog radio access networks
Fog radio access networks (F-RANs) have been seen as promising paradigms to handle the
stringent requirements in the 5G era by utilizing the cache and resource management …
stringent requirements in the 5G era by utilizing the cache and resource management …
A joint learning and game-theoretic approach to multi-dimensional resource management in fog radio access networks
Fog radio access networks (F-RANs) have been regarded as a promising paradigm to
support latency-sensitive and computation-intensive services by leveraging computing and …
support latency-sensitive and computation-intensive services by leveraging computing and …
A mean field game-based distributed edge caching in fog radio access networks
In this paper, the edge caching optimization problem in fog radio access networks (F-RANs)
is investigated. Taking into account time-variant user requests and ultra-dense deployment …
is investigated. Taking into account time-variant user requests and ultra-dense deployment …
Learning based joint cache and power allocation in fog radio access networks
The growing demand for rich content services and developments of industrial internet of
things and vehicle-to-everything communications pose challenging requirements for the …
things and vehicle-to-everything communications pose challenging requirements for the …
Deep reinforcement learning based coded caching scheme in fog radio access networks
Fog radio access networks (F-RANs) have been presented as promising architectures for
the future wireless system to provide high spectral and energy efficiency. With the help of the …
the future wireless system to provide high spectral and energy efficiency. With the help of the …
Deep reinforcement learning-based mode selection and resource management for green fog radio access networks
Fog radio access networks (F-RANs) are seen as potential architectures to support services
of Internet of Things by leveraging edge caching and edge computing. However, current …
of Internet of Things by leveraging edge caching and edge computing. However, current …
Dueling deep-Q-network based delay-aware cache update policy for mobile users in fog radio access networks
B Guo, X Zhang, Q Sheng, H Yang - IEEE Access, 2020 - ieeexplore.ieee.org
Fog radio access networks (F-RANs) can effectively alleviate fronthaul loads and reduce
content transmission delay by migrating cloud services to the network edge. This paper …
content transmission delay by migrating cloud services to the network edge. This paper …
An evolutionary game for user access mode selection in fog radio access networks
The fog radio access network (F-RAN) is a promising paradigm to provide high spectral
efficiency and energy efficiency. Characterizing users to select an appropriate …
efficiency and energy efficiency. Characterizing users to select an appropriate …
Fog radio access networks: Mobility management, interference mitigation, and resource optimization
In order to make Internet connections ubiquitous and autonomous in our daily lives,
maximizing the utilization of radio resources and social information is one of the major …
maximizing the utilization of radio resources and social information is one of the major …
Deep reinforcement learning based computation offloading and resource allocation for low-latency fog radio access networks
GMS Rahman, T Dang, M Ahmed - Intelligent and Converged …, 2020 - ieeexplore.ieee.org
Fog Radio Access Networks (F-RANs) have been considered a groundbreaking technique
to support the services of Internet of Things by leveraging edge caching and edge …
to support the services of Internet of Things by leveraging edge caching and edge …