Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
A survey on mobile edge computing: The communication perspective
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …
Millimeter-wave communications: Physical channel models, design considerations, antenna constructions, and link-budget
IA Hemadeh, K Satyanarayana… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
The millimeter wave (mmWave) frequency band spanning from 30 to 300 GHz constitutes a
substantial portion of the unused frequency spectrum, which is an important resource for …
substantial portion of the unused frequency spectrum, which is an important resource for …
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 …
Securing internet of medical things systems: Limitations, issues and recommendations
Traditional health-care systems suffer from new challenges associated with the constant
increase in the number of patients. In order to address this issue, and to increase the …
increase in the number of patients. In order to address this issue, and to increase the …
Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems
Millimeter wave (mmWave) communications has been regarded as a key enabling
technology for 5G networks, as it offers orders of magnitude greater spectrum than current …
technology for 5G networks, as it offers orders of magnitude greater spectrum than current …
Electrical load forecasting using edge computing and federated learning
A Taïk, S Cherkaoui - ICC 2020-2020 IEEE international …, 2020 - ieeexplore.ieee.org
In the smart grid, huge amounts of consumption data are used to train deep learning models
for applications such as load monitoring and demand response. However, these …
for applications such as load monitoring and demand response. However, these …
Unmanned aerial vehicle with underlaid device-to-device communications: Performance and tradeoffs
In this paper, the deployment of an unmanned aerial vehicle (UAV) as a flying base station
used to provide the fly wireless communications to a given geographical area is analyzed. In …
used to provide the fly wireless communications to a given geographical area is analyzed. In …
A survey on multiple-antenna techniques for physical layer security
As a complement to high-layer encryption techniques, physical layer security has been
widely recognized as a promising way to enhance wireless security by exploiting the …
widely recognized as a promising way to enhance wireless security by exploiting the …
Resource allocation for D2D-enabled vehicular communications
The widely deployed cellular network, assisted with device-to-device (D2D)
communications, can provide a promising solution to support efficient and reliable vehicular …
communications, can provide a promising solution to support efficient and reliable vehicular …