UAV Positioning for Throughput Maximization Using Deep Learning Approaches
The use of unmanned aerial vehicles (UAVs) as a communication platform has great practical importance for future wireless networks, especially for on-demand deployment for temporary and emergency conditions. The user throughput estimation in a wireless system depends on the data traffic load and the...
Main Authors: | Yirga Yayeh Munaye, Hsin-Piao Lin, Abebe Belay Adege, Getaneh Berie Tarekegn |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/12/2775 |
Similar Items
-
UAV positioning for throughput maximization
by: Shams ur Rahman, et al.
Published: (2018-02-01) -
Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks
by: Shakil Ahmed, et al.
Published: (2020-01-01) -
An Indoor and Outdoor Positioning Using a Hybrid of Support Vector Machine and Deep Neural Network Algorithms
by: Abebe Belay Adege, et al.
Published: (2018-01-01) -
On UAV Selection and Position-Based Throughput Maximization in Multi-UAV Relaying Networks
by: Sandeep Kumar Singh, et al.
Published: (2020-01-01) -
Minimum-Throughput Maximization for Multi-UAV-Enabled Wireless-Powered Communication Networks
by: Fahui Wu, et al.
Published: (2019-03-01)