Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey
Edge networking is a complex and dynamic computing paradigm that aims to push cloud re-
sources closer to the end user improving responsiveness and reducing backhaul traffic …
sources closer to the end user improving responsiveness and reducing backhaul traffic …
Applying machine learning techniques for caching in edge networks: A comprehensive survey
Edge networking is a complex and dynamic computing paradigm that aims to push cloud
resources closer to the end user improving responsiveness and reducing backhaul traffic …
resources closer to the end user improving responsiveness and reducing backhaul traffic …
Deep reinforcement learning for reactive content caching with predicted content popularity in three-tier wireless networks
Y Liu, J Jia, J Cai, T Huang - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
With the explosive growth of micro-video applications, the mobile traffic generated by
retrieving a few user-generated micro-videos has brought a massive burden to backhaul …
retrieving a few user-generated micro-videos has brought a massive burden to backhaul …
Delay-Oriented Probabilistic Edge Caching Strategy in a Device-to-Device Enabled IoT System
X Gao, Z Qian, X Wang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Device-to-device (D2D) communication and edge caching are important technologies in the
field of the Internet of Things (IoT), which can offload some data resource requests to the …
field of the Internet of Things (IoT), which can offload some data resource requests to the …
Caching in cellular networks based on multipoint multicast transmissions
We consider cellular network caching with network-wide Orthogonal Multipoint Multicast
(OMPMC) delivery. We apply a probabilistic model for content placement at the Base …
(OMPMC) delivery. We apply a probabilistic model for content placement at the Base …
Cache-and energy harvesting-enabled D2D cellular network: Modeling, analysis and optimization
Y Meng, Z Zhang, Y Huang - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
With the improvement of quality of service requirement and the increase of energy
expenditure, integrating caching and energy harvesting (EH) to device-to-device (D2D) …
expenditure, integrating caching and energy harvesting (EH) to device-to-device (D2D) …
Adaptive streaming of 360 videos with perfect, imperfect, and unknown fov viewing probabilities in wireless networks
This paper investigates adaptive streaming of one or multiple tiled 360 videos from a multi-
antenna base station (BS) to one or multiple single-antenna users, respectively, in a multi …
antenna base station (BS) to one or multiple single-antenna users, respectively, in a multi …
Proactive caching and bandwidth allocation in heterogenous networks by learning from historical numbers of requests
J Wu, C Yang, B Chen - IEEE Transactions on Communications, 2020 - ieeexplore.ieee.org
Proactive caching at base stations (BSs) has been shown promising in offloading traffic,
where most priori works consider full frequency reuse among cells and assume known file …
where most priori works consider full frequency reuse among cells and assume known file …
Analysis and optimization of caching and multicasting for multi-quality videos in large-scale wireless networks
Efficient dissemination of videos is an important problem for mobile telecom carriers. In this
paper, to facilitate massive video dissemination, we study joint caching and multicasting for …
paper, to facilitate massive video dissemination, we study joint caching and multicasting for …
Joint optimization of preamble selection and access barring for random access in MTC with general device activities
Most existing random access schemes for machine-type communications (MTC) simply
adopt a uniform preamble selection distribution, irrespective of the underlying device activity …
adopt a uniform preamble selection distribution, irrespective of the underlying device activity …