Optimal caching scheme in D2D networks with multiple robot helpers
Mobile robots are playing an important role in modern industries. The deployment of robots
which act as mobile helpers in a wireless network is rarely considered in the existing studies …
which act as mobile helpers in a wireless network is rarely considered in the existing studies …
Multi-agent reinforcement learning based cooperative content caching for mobile edge networks
To address the drastic growth of data traffic dominated by streaming of video-on-demand
files, mobile edge caching/computing (MEC) can be exploited to develop intelligent content …
files, mobile edge caching/computing (MEC) can be exploited to develop intelligent content …
Joint optimization of cooperative edge caching and radio resource allocation in 5G-enabled massive IoT networks
The fifth-generation of wireless communication (5G) is a promising paradigm toward
massive interconnectivity within Internet-of-Things (IoT) networks. However, because the …
massive interconnectivity within Internet-of-Things (IoT) networks. However, because the …
Toward a connected sky: Performance of beamforming with down-tilted antennas for ground and UAV user co-existence
Providing connectivity to aerial users (AUs) such as cellular-connected unmanned aerial
vehicles (UAVs) is a key challenge for tomorrow's cellular systems. In this letter, the use of …
vehicles (UAVs) is a key challenge for tomorrow's cellular systems. In this letter, the use of …
Information fusion on delivery: A survey on the roles of mobile edge caching systems
Edge caching, which offers application versatility and a range of benefits, has exerted a
significant impact on the adoption and development of fifth-generation networks and …
significant impact on the adoption and development of fifth-generation networks and …
Joint optimization of caching and computation in multi-server NOMA-MEC system via reinforcement learning
S Li, B Li, W Zhao - IEEE Access, 2020 - ieeexplore.ieee.org
With the development of emerging applications such as augmented reality, more and more
computing tasks are sensitive to delay. Caching popular task computation results on the …
computing tasks are sensitive to delay. Caching popular task computation results on the …
Blockchain-empowered federated learning approach for an intelligent and reliable D2D caching scheme
Cache-enabled device-to-device (D2D) communication is a potential approach to tackle the
resource shortage problem. However, public concerns of data privacy and system security …
resource shortage problem. However, public concerns of data privacy and system security …
Capacity-aware edge caching in fog computing networks
This article studies edge caching in fog computing networks, where a capacity-aware edge
caching framework is proposed by considering both the limited fog cache capacity and the …
caching framework is proposed by considering both the limited fog cache capacity and the …
D2D-assisted caching on truncated Zipf distribution
In this paper, device-to-device (D2D)-assisted caching is considered to offload traffic from
the capacity-stringent backhaul networks to the proximity of users. First, a three-layer …
the capacity-stringent backhaul networks to the proximity of users. First, a three-layer …
On sharing models instead of data using mimic learning for smart health applications
Electronic health records (EHR) systems contain vast amounts of medical information about
patients. These data can be used to train machine learning models that can predict health …
patients. These data can be used to train machine learning models that can predict health …