[HTML][HTML] Federated learning for 6G: Applications, challenges, and opportunities
Standard machine-learning approaches involve the centralization of training data in a data
center, where centralized machine-learning algorithms can be applied for data analysis and …
center, where centralized machine-learning algorithms can be applied for data analysis and …
A review of Internet of Things—Resource allocation
As one of emerging technologies, Internet of Things (IoT) has become popular. This article
reviews the literature regarding resource allocation (RA) of the Internet of Things …
reviews the literature regarding resource allocation (RA) of the Internet of Things …
Interplay between NOMA and other emerging technologies: A survey
Non-orthogonal multiple access (NOMA) has been widely recognized as a promising way to
scale up the number of users, enhance the spectral efficiency, and improve the user-fairness …
scale up the number of users, enhance the spectral efficiency, and improve the user-fairness …
A novel multichannel Internet of Things based on dynamic spectrum sharing in 5G communication
X Liu, M Jia, X Zhang, W Lu - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
The shortage of spectrum resources has limited the development of Internet of Things (IoT).
Fifth generation (5G) network can flexibly support a variety of devices and services, which …
Fifth generation (5G) network can flexibly support a variety of devices and services, which …
Technical issues on cognitive radio-based Internet of Things systems: A survey
Cognitive radio (CR)-based Internet of Things (IoT) system is an effective step toward a
world of smart technology. Many frameworks have been proposed to build CR-based IoT …
world of smart technology. Many frameworks have been proposed to build CR-based IoT …
Task scheduling for energy-harvesting-based IoT: A survey and critical analysis
The Internet of Things (IoT) has important applications in our daily lives, including health and
fitness tracking, environmental monitoring, and transportation. However, sensor nodes in IoT …
fitness tracking, environmental monitoring, and transportation. However, sensor nodes in IoT …
Algorithm for Energy Resource Allocation and Sensor‐Based Clustering in M2M Communication Systems
Recent years have seen a surge in curiosity in machine‐to‐machine (M2M) collaborations
between academics and industry. Machine‐to‐machine communication devices (MTCDs) …
between academics and industry. Machine‐to‐machine communication devices (MTCDs) …
NOMA-assisted machine-type communications in UDN: State-of-the-art and challenges
M Elbayoumi, M Kamel, W Hamouda… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The inevitable next era of smart living requires unprecedented advances in enabling
technologies. The building blocks of this era are devices such as sensors, actuators, and …
technologies. The building blocks of this era are devices such as sensors, actuators, and …
Reinforcement learning-based multiaccess control and battery prediction with energy harvesting in IoT systems
Energy harvesting (EH) is a promising technique to fulfill the long-term and self-sustainable
operations for Internet of Things (IoT) systems. In this paper, we study the joint access …
operations for Internet of Things (IoT) systems. In this paper, we study the joint access …
Energy efficient resource allocation in wireless energy harvesting sensor networks
H Azarhava, JM Niya - IEEE Wireless Communications Letters, 2020 - ieeexplore.ieee.org
Extending the sensor life time is one of the most important issues in widespread use of
Wireless Sensor Networks (WSNs). The Energy Harvesting (EH) sensors have been …
Wireless Sensor Networks (WSNs). The Energy Harvesting (EH) sensors have been …