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Title: Optimum UAV Positioning for Better Coverage-Connectivity Tradeoff
Unmanned aerial vehicle (UAV) plays prominent role in enhancing backhaul connectivity and providing extended coverage areas due to its mobility and flexible deployment. To realize these objectives simultaneously, we present a new framework for positioning the UAV to maximize the small-cells backhaul network connectivity characterized by its Fiedler value, the second smallest eigenvalue of the Laplacian matrix representing the network graph, while maintaining particular signal-to-noise ratio constraint for each individual user equipment. Moreover, we show that the localization problem can be approximated by a low complexity convex semi-definite programming optimization problem. Finally, our extensive simulations verify the approximation validity and demonstrate the potential gain of UAV deployment.  more » « less
Award ID(s):
1618692
PAR ID:
10041983
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC'17)
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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