|SHARMA NAVUDAY||Cycle: XXXI |
Section: Systems and Control
Tutor: MONTI-GUARNIERI ANDREA VIRGILIO Major Research topic
:Increasing Capacity of Wireless Networks using Aerial Base Stations
Advisor: MAGARINI MAURIZIOAbstract:
Unammed Aerial Vehicles. commonly known as drones were been developed for military based operations but over the recent years their growth is developed towards civil applications such as fire detection, search and rescue, surveillance operations, aerial photography, remote sensing, agricultural monitoring, relay networks etc. Now drones are gaining more interest as Aerial Base Stations (ABS) to provide wireless services to ground users in variety of scenarios in the upcoming 5G scenarios. This PhD activity is focussed towards this application and is caried out in different phases of research. In the first phase, of research an appropriate channel model was investigated for such Air to Ground communication. However, different channel models exist for air-to-ground communication depending on the altitude of the aerial platform, such as satellites, high altitude platforms such as aircrafts, helkites etc. But this phase focussed on the low altitude aerial platforms ranging from 100m to 2000m above the ground due to the ability of the drones to go near to the mobile users for better capacity. For this scenario, a probabisitic close-in reference path loss model was found to be the most suitable channel model based on different measurement campaigns carried out. Our study found the various channel paramters such as Path Loss Exponents, Shadowing Standard Deviation, Rice Factor, Shadowing Correlation etc, by using a commercial ray tracing software, Wireless Insite, for the analysis of site-specific radio wave propagation and wireless communication systems. The simulation environment was created on CAD Software, 3DS MAX based on ITU-R parameters. Also, from these realistic simulations of ray tracing, coverage, capacity and interference analysis was performed for ABS. We found that an optimal altitude and power of ABS with maximum coverage. From the results we found, the coverage area was limited from picocell to femtocell, which is the same as required by the Ultra-dense networks. Therefore, we proposed the use of drones for Ultra dense networks.
The Second Phase of the activity. the existing A2G channel with the channel parameters found will be used for ultra-low latency and ultra-reliable communication for controlling the drone flight considering the collision avoidance among drones and with the surrounding infrastructure and the UAV traffic management. To fulfill this requirement concept of tactile internet enabled drone control will be investigated. In this respects, the goal of this work will be to investigate and implement 5G waveforms over a fast time varying communication channel (due to relative motion between the ground users and ABS) with appropriate channel coding to reduce the latency. The work will be implemented on an SDR for generating the
proof of concepts.