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IEEE Transactions on Wireless Communications· 2016Q1

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

Mohammad Mozaffari, Walid Saad, Mehdi Bennis, Merouane Debbah

Short summary

A UAV acting as a flying base station can provide wireless communication, with optimal altitude maximizing coverage and sum-rate when coexisting with underlaid device-to-device (D2D) networks.

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Key points

  • Analytical framework derived for coverage and rate analysis of a UAV base station coexisting with D2D networks.
  • Optimal UAV altitude exists to maximize system sum-rate and coverage probability, influenced by D2D user density.
  • Mobile UAVs can minimize transmit power for full coverage by intelligently moving.
  • Tradeoff identified between coverage and delay (number of stop points) for full area coverage.

AI-generated from the title and abstract; the full text is not read.

Abstract

In this paper, the deployment of an unmanned aerial vehicle (UAV) as a flying base station used to provide the fly wireless communications to a given geographical area is analyzed. In particular, the coexistence between the UAV, that is transmitting data in the downlink, and an underlaid device-to-device (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, the optimal values for the UAV altitude, which lead to the maximum system sum-rate and coverage probability, exist. 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, can be minimized. Finally, in order to provide full coverage for the area of interest, the tradeoff between the coverage and delay, in terms of the number of stop points, is discussed.

The authors' abstract, as published at the source. IEEE Transactions on Wireless Communications, 2016 · DOI ↗

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Field: Aerospace Engineering

Aerospace EngineeringEngineering