Applications of multi-agent reinforcement learning in future internet: A comprehensive survey
Future Internet involves several emerging technologies such as 5G and beyond 5G
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
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 …
Federated deep reinforcement learning for Internet of Things with decentralized cooperative edge caching
Edge caching is an emerging technology for addressing massive content access in mobile
networks to support rapidly growing Internet-of-Things (IoT) services and applications …
networks to support rapidly growing Internet-of-Things (IoT) services and applications …
Optimized content caching and user association for edge computing in densely deployed heterogeneous networks
Y Li, H Ma, L Wang, S Mao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Deploying small cell base stations (SBS) under the coverage area of a macro base station
(MBS), and caching popular contents at the SBSs in advance, are effective means to provide …
(MBS), and caching popular contents at the SBSs in advance, are effective means to provide …
A survey on mobile edge networks: Convergence of computing, caching and communications
As the explosive growth of smart devices and the advent of many new applications, traffic
volume has been growing exponentially. The traditional centralized network architecture …
volume has been growing exponentially. The traditional centralized network architecture …
On mobile edge caching
With the widespread adoption of various mobile applications, the amount of traffic in wireless
networks is growing at an exponential rate, which exerts a great burden on mobile core …
networks is growing at an exponential rate, which exerts a great burden on mobile core …
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 …
A deep reinforcement learning-based framework for content caching
Content caching at the edge nodes is a promising technique to reduce the data traffic in next-
generation wireless networks. Inspired by the success of Deep Reinforcement Learning …
generation wireless networks. Inspired by the success of Deep Reinforcement Learning …
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 …
Edge intelligence: Architectures, challenges, and applications
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis in locations close to where data is captured based on …
caching, processing, and analysis in locations close to where data is captured based on …