Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs

Abstract

In this paper, the deployment of an unmanned aerial vehicle (UAV) as a flying base station used to provide on the fly wireless communications to a given geographical area is analyzed. In particular, the co-existence between the UAV, that is transmitting data in the downlink, and an underlaid device-todevice (D2D) communication network is considered. For this model, a tractable analytical framework for the coverage and rate analysis is derived. Two scenarios are considered: a static UAV and a mobile UAV. In the first scenario, the average coverage probability and the system sum-rate for the users in the area are derived as a function of the UAV altitude and the number of D2D users. In the second scenario, using the disk covering problem, the minimum number of stop points that the UAV needs to visit in order to completely cover the area is computed. Furthermore, considering multiple retransmissions for the UAV and D2D users, the overall outage probability of the D2D users is derived. Simulation and analytical results show that, depending on the density of D2D users, optimal values for the UAV altitude exist for which the system sum-rate and the coverage probability are maximized. Moreover, our results also show that, by enabling the UAV to intelligently move over the target area, the total required transmit power of UAV while covering the entire area, is minimized. Finally, in order to provide a full coverage for the area of interest, the tradeoff between the coverage and delay, in terms of the number of stop points, is discussed.

Designing UAV-aided emergency networks for large-scale disaster scenarios

“…Lambert et al [12] investigate the network's performance offered to the user when only a limited part of the network infrastructure is available, but it does not consider the possibility of using drones to provide service to the uncovered users. The approaches proposed in [13][14][15] are similar to ours. However, [13,14] both focus only one UABS that follows a certain path to provide service to non-covered or unsatisfied users (not necessarily an emergency situation).…”

“…The approaches proposed in [13][14][15] are similar to ours. However, [13,14] both focus only one UABS that follows a certain path to provide service to non-covered or unsatisfied users (not necessarily an emergency situation). Mozaffari et al [15] consider a multi-UABS network but solve the problem in a theoretical way, while our approach considers a realistic environment and scenario.…”

An optimal UAV deployment algorithm for bridging communication

“…In scenario one, the authors derived the average coverage and sum-rate based on the UAV altitude and number of D2D users in the specified area, while in scenario two, the authors used the concept of a disk covering problem in order to calculate the minimum number of stop points to cover the entire area. The authors continue to say that the overall communication rate and coverage could be improved significantly if the UAV is precisely moved over the specified area [12].…”

“…Mozaffari, et al analyzed the deployment of a UAV as a flying base station [12]. They used the idea to provide on-the-fly wireless communication facilities to a specific geographical area for a determined device-to-device communication network.…”

Sum-Rate Analysis for High Altitude Platform (HAP) Drones With Tethered Balloon Relay

“…Meanwhile, terrestrial communication systems cannot guarantee a reliable service for users in remote, rural areas, due to the lack of infrastructure nodes, such as base stations (BSs). High altitude platform (HAP) drones can substantially extend the coverage of terrestrial networks by establishing line-of-sight (LoS) links and adjusting their altitude [2], [3].…”