This work aims at developing an energy-efficient power control algorithm for a swarm of drones that simultaneously transmit data to the serving base station while moving around a given coverage area. A stochastic mobility model based on random walk is developed, which guarantees boundedness and continuity of the movement, and used in a non-cooperative stochastic differential game, with utility functions defined by an Hamilton-Jacobi-Bellman (HJB) equation for each drone. We analyze the existence and uniqueness of the equilibrium point, and develop a distributed algorithm whose convergence to such equilibrium point is guaranteed. Numerical results are used to validate the performance of the proposed solution.
Energy-efficient power control for drone communications
Bacci, Giacomo;Sanguinetti, Luca
2018-01-01
Abstract
This work aims at developing an energy-efficient power control algorithm for a swarm of drones that simultaneously transmit data to the serving base station while moving around a given coverage area. A stochastic mobility model based on random walk is developed, which guarantees boundedness and continuity of the movement, and used in a non-cooperative stochastic differential game, with utility functions defined by an Hamilton-Jacobi-Bellman (HJB) equation for each drone. We analyze the existence and uniqueness of the equilibrium point, and develop a distributed algorithm whose convergence to such equilibrium point is guaranteed. Numerical results are used to validate the performance of the proposed solution.File | Dimensione | Formato | |
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