M. Mozaffari, W. Saad, M. Bennis and M. Debbah, "Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs," in IEEE Transactions on Wireless Communications, vol. 15, no. 6, pp. 3949-3963, June 2016. doi: 10.1109/TWC.2016.2531652
Unmanned aerial vehicle with underlaid device-to-device communications : performance and tradeoffs
|Author:||Mozaffari, Mohammad1; Saad, Walid1; Bennis, Mehdi2;|
1Wireless@VT, Electrical and Computer Engineering Department, Virginia Tech, Blacksburg, VA 24061 USA
2CWC—Centre for Wireless Communications, Oulu 90570, Finland
3Mathematical and Algorithmic Sciences Laboratory, Huawei France R&D, Paris, France
4Large Systems and Networks Group (LANEAS), CentraleSupélec, Université Paris-Saclay, France
|Online Access:||PDF Full Text (PDF, 2.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018080833504
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-08-08
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.
IEEE transactions on wireless communications
|Pages:||3949 - 3963|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by the U.S. National Science Foundation under Grant AST-1506297, in part by the Academy of Finland, and in part by the ERC Starting Grant 305123 MORE (Advanced Mathematical Tools for Complex Network Engineering).
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