[HTML][HTML] Cognitive D2D communication: A comprehensive survey, research challenges, and future directions
The integration of cognitive radio and device-to-device (D2D) communication gives rise to
Cognitive D2D (cD2D) communication, which offers numerous advantages, such as …
Cognitive D2D (cD2D) communication, which offers numerous advantages, such as …
Efficient multiple green energy base stations far-field wireless charging for mobile IoT devices
Powering a huge number of Internet of Things Devices (IoTDs), necessitated in many
Internet of Things (IoT) applications, is a dreadful problem in many circumstances, in terms …
Internet of Things (IoT) applications, is a dreadful problem in many circumstances, in terms …
Coordinated beamforming for UAV-aided millimeter-wave communications using GPML-based channel estimation
In the 5th generation (5G) networks, coordinated multiple point (CoMP) is one of key
technologies to improve the quality of service (QoS) of edge users. To meet the requirement …
technologies to improve the quality of service (QoS) of edge users. To meet the requirement …
Dynamic clustering and resource allocation using deep reinforcement learning for smart-duplex networks
Ultra dense networks (UDNs) with smart-duplex (SD), which allows the base stations (BSs)
to flexibly switch between the half-duplex (HD) and full-duplex (FD), are expected to support …
to flexibly switch between the half-duplex (HD) and full-duplex (FD), are expected to support …
Product processing prioritization in hybrid flow shop systems supported on Nash bargaining model and simulation-optimization
H Malekpour, A Hafezalkotob… - Expert Systems with …, 2021 - Elsevier
Dynamic scheduling using real-time data in manufacturing systems enables quick response
to unforeseen system events to reduce costs and makespan while increasing customer …
to unforeseen system events to reduce costs and makespan while increasing customer …
[HTML][HTML] Power control and clustering-based interference management for UAV-assisted networks
J Zhang, G Chuai, W Gao - Sensors, 2020 - mdpi.com
Unmanned Aerial Vehicle (UAV) has been widely used in various applications of wireless
network. A system of UAVs has the function of collecting data, offloading traffic for ground …
network. A system of UAVs has the function of collecting data, offloading traffic for ground …
NOMA-enabled CoMP clustering and power control for green Internet of Things networks
In this paper, we investigate the clustering and power control problem for coordinated
multipoint (CoMP) transmission in green non-orthogonal multiple access (NOMA) networks …
multipoint (CoMP) transmission in green non-orthogonal multiple access (NOMA) networks …
[HTML][HTML] Heterogeneous cyber-physical network coexistence through interference contribution rate and uplink power control algorithm (ICR-UPCA) in 6G edge cells
Optimizing power control for interference mitigation at the network cell edge is pivotal in
enhancing capacity within a heterogeneous cyber-physical infrastructure, such as smart …
enhancing capacity within a heterogeneous cyber-physical infrastructure, such as smart …
[PDF][PDF] The Internet of Things
Optimizing power control for interference mitigation at the network cell edge is pivotal in
enhancing capacity within a heterogeneous cyber-physical infrastructure, such as smart …
enhancing capacity within a heterogeneous cyber-physical infrastructure, such as smart …
Deep reinforcement learning for dynamic clustering and resource allocation in smart-duplex networks
This paper considers an ultra dense network (UDN) with smart-duplex (SD), which allows
the base stations (BSs) to flexibly switch between half-duplex (HD) and full-duplex (FD) …
the base stations (BSs) to flexibly switch between half-duplex (HD) and full-duplex (FD) …