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This paper studies an unmanned aerial vehicle (UAV)-enabled wireless sensornetwork, in which one UAV flies in the sky to collect the data transmitted froma set of sensors via distributed beamforming. We consider the delay-sensitiveapplication scenario, in which the sensors transmit the common/shared messagesby using fixed data rates and adaptive transmit powers. Under this setup, wejointly optimize the UAV's trajectory design and the sensors' transmit powerallocation, in order to minimize the transmission outage probability, subjectto the UAV's flight speed constraints and the sensors' individual average powerconstraints. However, the formulated outage probability minimization problem isnon-convex and thus difficult to be optimally solved in general. To tackle thisissue, we first consider the special problem in the ideal case with the UAV'sflight speed constraints ignored, for which the well-structured optimalsolution is obtained to reveal the fundamental performance upper bound. Next,for the general problem with the UAV's flight speed constraints considered, wepropose an efficient algorithm to solve it sub-optimally by using thetechniques of convex optimization and approximation. Finally, numerical resultsshow that our proposed design achieves significantly reduced outage probabilitythan other benchmark schemes.

Outage Probability Minimization for UAV-Enabled Data Collection with Distributed Beamforming