Survey of fog computing: Fundamental, network applications, and research challenges

M Mukherjee, L Shu, D Wang - IEEE Communications Surveys …, 2018 - ieeexplore.ieee.org
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 …

A survey of machine learning techniques applied to self-organizing cellular networks

PV Klaine, MA Imran, O Onireti… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
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 …

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 …

A survey of caching techniques in cellular networks: Research issues and challenges in content placement and delivery strategies

L Li, G Zhao, RS Blum - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
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 …

Cooperative caching and transmission design in cluster-centric small cell networks

Z Chen, J Lee, TQS Quek… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

Deep reinforcement learning-based edge caching in wireless networks

C Zhong, MC Gursoy… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Online proactive caching in mobile edge computing using bidirectional deep recurrent neural network

L Ale, N Zhang, H Wu, D Chen… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
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 …

Context-aware proactive content caching with service differentiation in wireless networks

S Müller, O Atan, M Van Der Schaar… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
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 …

Wireless edge computing with latency and reliability guarantees

MS Elbamby, C Perfecto, CF Liu, J Park… - Proceedings of the …, 2019 - ieeexplore.ieee.org
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 …

Learn to cache: Machine learning for network edge caching in the big data era

Z Chang, L Lei, Z Zhou, S Mao… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
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 …