An iterative SCA-based algorithm solves the non-convex trajectory optimization problem to minimize UAV propulsion power subject to cellular connectivity constraints.
Deep Reinforce- ment Learning for Interference-Aware Path Planning of Cellular- Connected UA Vs
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Power Efficient Trajectory Optimization for the Cellular-Connected Aerial Vehicles
An iterative SCA-based algorithm solves the non-convex trajectory optimization problem to minimize UAV propulsion power subject to cellular connectivity constraints.