Survey of fog computing: Fundamental, network applications, and research challenges
Fog computing is an emerging paradigm that extends computation, communication, and
storage facilities toward the edge of a network. Compared to traditional cloud computing, fog …
storage facilities toward the edge of a network. Compared to traditional cloud computing, fog …
A survey of machine learning techniques applied to self-organizing cellular networks
In this paper, a survey of the literature of the past 15 years involving machine learning (ML)
algorithms applied to self-organizing cellular networks is performed. In order for future …
algorithms applied to self-organizing cellular networks is performed. In order for future …
Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities
S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …
extremely diverse and challenging requirements. To fulfill such diverse requirements …
A survey of caching techniques in cellular networks: Research issues and challenges in content placement and delivery strategies
Mobile data traffic is currently growing exponentially and these rapid increases have caused
the backhaul data rate requirements to become the major bottleneck to reducing costs and …
the backhaul data rate requirements to become the major bottleneck to reducing costs and …
Cooperative caching and transmission design in cluster-centric small cell networks
Wireless content caching in small cell networks (SCNs) has recently been considered as an
efficient way to reduce the data traffic and the energy consumption of the backhaul in …
efficient way to reduce the data traffic and the energy consumption of the backhaul in …
Deep reinforcement learning-based edge caching in wireless networks
With the purpose to offload data traffic in wireless networks, content caching techniques
have recently been studied intensively. Using these techniques and caching a portion of the …
have recently been studied intensively. Using these techniques and caching a portion of the …
Online proactive caching in mobile edge computing using bidirectional deep recurrent neural network
With emergence of Internet of Things (IoT), wireless traffic has grown dramatically, posing
severe strain on core network and backhaul bandwidth. Proactive caching in mobile edge …
severe strain on core network and backhaul bandwidth. Proactive caching in mobile edge …
Context-aware proactive content caching with service differentiation in wireless networks
Content caching in small base stations or wireless infostations is considered to be a suitable
approach to improve the efficiency in wireless content delivery. Placing the optimal content …
approach to improve the efficiency in wireless content delivery. Placing the optimal content …
Wireless edge computing with latency and reliability guarantees
Edge computing is an emerging concept based on distributed computing, storage, and
control services closer to end network nodes. Edge computing lies at the heart of the fifth …
control services closer to end network nodes. Edge computing lies at the heart of the fifth …
Learn to cache: Machine learning for network edge caching in the big data era
The unprecedented growth of wireless data traffic not only challenges the design and
evolution of the wireless network architecture, but also brings about profound opportunities …
evolution of the wireless network architecture, but also brings about profound opportunities …