Enhancing Ground Network in UAV Assisted Wireless Communication
The development of wireless technology for ground communications is being aided by the use of unmanned aerial vehicles (UAVs). It is believed that these technologies will continue to advance in the next years. Traditional methods of communication need elaborate, expensive, and laborintensive infrastructure, not to mention lengthy installation procedures. Instead of requiring expensive and time-consuming infrastructure construction, a UAV aided wireless network for communication guarantees a cheap wireless connection to devices. In comparison to High Altitude Platforms (HAPs) such as balloons with hot air or terrestrial systems, wireless communication systems that are incorporated with low level altitude UAVs provide quicker deployment, more mobility, easier re-configuration and according to expectations, improved channels for communication with a shorter line-of-sight (LOS) connectivity. However, unforeseen challenges impair the UAV to Ground system's performance and the reliability of the communication link between users and drones on the ground. Adaptive modulation and coding (AMC) are discussed in this letter as it pertains to Aerial-to-Ground (A2G) networks. Evaluating the downlink data rates and network capacity is our goal, along with reaching peak performance. Additionally, this research thoroughly evaluates the performance of terrestrial users connected to drones in different circumstances in terms of ratio of signal to noise, path loss, latency, and throughput. Furthermore, they investigated the A2G channels downlink link characteristics, which regulate the modulation and coding rate switching.
Authors
- S. Jebaraj (ORCID: https://orcid.org/0000-0002-3385-207X)
- Dhananjay Kumar Yadav (ORCID: https://orcid.org/0000-0002-8487-8165)
Institutions
- Jain University (IN)
- Maharishi University of Management and Technology (IN)
Publication Details
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1109/ce2ct64011.2025.10939706
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00