GANCE: Generative Adversarial Network Assisted Channel Estimation for Unmanned Aerial Vehicles Empowered 5G and Beyond Wireless Networks
Unmanned aerial vehicles (UAVs) have discovered a plethora of societal applications such as remote sensing, disaster management, medical emergency, security and surveillance, etc. UAVs require fast and reliable communication lines, and selecting the appropriate channel estimation (CE) technique is p...
Saved in:
Main Authors: | Chirag Gupta, Ramani Kumar Das, Rabindra K. Barik, Shahazad Niwazi Qurashi, Diptendu Sinha Roy, Satyendra Singh Yadav |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10815946/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On the adversarial robustness of aerial detection
by: Yuwei Chen, et al.
Published: (2024-11-01) -
Changing the Formations of Unmanned Aerial Vehicles
by: Krzysztof Falkowski, et al.
Published: (2024-11-01) -
CMDN: Pre-Trained Visual Representations Boost Adversarial Robustness for UAV Tracking
by: Ruilong Yu, et al.
Published: (2024-10-01) -
Unmanned aerial vehicles for human detection and recognition using neural-network model
by: Yawar Abbas, et al.
Published: (2024-12-01) -
Advances in generative adversarial network
by: Wanliang WANG, et al.
Published: (2018-02-01)