Unmanned aerial vehicle assisted communication: applications, challenges, and future outlook
Y Li, Y Bi, J Wang, Z Li, H Zhang, P Zhang - Cluster Computing, 2024 - Springer
With the advancement of wireless communication technology, the number of wireless
network terminals has exploded, and various new business scenarios have emerged. The …
network terminals has exploded, and various new business scenarios have emerged. The …
Trajectory optimization of UAV-IRS assisted 6G THz network using deep reinforcement learning approach
AM Saleh, SS Omar, AM Abd El-Haleem, II Ibrahim… - Scientific Reports, 2024 - nature.com
Terahertz (THz) wireless communication is a promising technology that will enable ultra-
high data rates, and very low latency for future wireless communications. Intelligent …
high data rates, and very low latency for future wireless communications. Intelligent …
A novel energy-efficiency framework for UAV-assisted networks using adaptive deep reinforcement learning
K Seerangan, M Nandagopal, T Govindaraju… - Scientific Reports, 2024 - nature.com
In the air-to-ground transmissions, the lifespan of the network is based on the “unmanned
aerial vehicle's (UAV)” life span because of the limited battery capacity. Thus, the …
aerial vehicle's (UAV)” life span because of the limited battery capacity. Thus, the …
Optimizing Cell Association and Stability in Integrated Aerial-to-Ground Next-Generation Consumer Wireless Networks
Unmanned aerial vehicles (UAVs) offer advantages in serving as aerial small cells (ASCs) to
support public safety terrestrial cells (PSTCs) while providing pervasive coverage during …
support public safety terrestrial cells (PSTCs) while providing pervasive coverage during …
Joint cooperative caching and power control for UAV-assisted internet of vehicles
W Wang, Y Liu, Y Dai, Y He - Scientific Reports, 2024 - nature.com
In view of the current problems of spectrum resource scarcity, return congestion, and
insufficient energy utilization in the unmanned aerial vehicle (UAV)-assisted Internet of …
insufficient energy utilization in the unmanned aerial vehicle (UAV)-assisted Internet of …
Exploring the potential of 5G uplink communication: Synergistic integration of joint power control, user grou**, and multi-learning Grey Wolf Optimizer
Abstract Non-orthogonal Multiple Access (NOMA) techniques offer potential enhancements
in spectral efficiency for 5G and 6G wireless networks, facilitating broader network access …
in spectral efficiency for 5G and 6G wireless networks, facilitating broader network access …
Resource allocation for UAV-enabled multi-access edge computing
Abstract In Ultrareliable and Low Latency Communications (URLLC), balancing trade-offs
between energy consumption, service availability, and strict reliability and latency …
between energy consumption, service availability, and strict reliability and latency …
Three Novel Statistical Tests-Inspired Spectrum Sensing Techniques for Cognitive Radio
Statistical tests-based approaches have been extensively researched for multiple antenna-
based spectrum sensing (SS) in cognitive radio (CR). Nevertheless, their performance is …
based spectrum sensing (SS) in cognitive radio (CR). Nevertheless, their performance is …
Collaborative Tracking and Positioning of Unmanned Aerial Vehicles Over Wireless Sensor Networks
In recent years, wireless sensor networks have been widely applied in information
acquisition and real-time monitoring of consumer electronics, particularly for tracking and …
acquisition and real-time monitoring of consumer electronics, particularly for tracking and …
Leveraging RIS in Consumer-Centric 6G Networks: Efficient Resource Allocation in RSMA-Based SWIPT Systems Under Hardware Impairments
This manuscript proposes an efficient resource management strategy for a rate-splitting
multiple access (RSMA) based simultaneous wireless information and power transfer …
multiple access (RSMA) based simultaneous wireless information and power transfer …