Abstract
We focus on the problem of deploying unmanned aerial vehicles to service mobile users in a cellular network, with the aim of maximizing coverage and reducing interference effects. An optimization model that is distributed in nature is proposed and a maximizing algorithm is developed to find a locally optimal solution. The performance of this distributed algorithm is shown to be superior in quality and solution time to a standard greedy algorithm. Testing on a simulation of a practical scenario is performed to demonstrate the application of the method to real scenarios as well as to illustrate the tradeoff between maximizing coverage and minimizing interference.
Original language | English |
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Pages (from-to) | 2638-2647 |
Journal | IEEE Transactions on Industrial Informatics |
Volume | 15 |
Issue number | 5 |
DOIs | |
Publication status | Published - May 2019 |
Externally published | Yes |