Interference Avoidance Trajectory Design for UAVs
Taking advantage of the inherent mobility feature of the UAVs an adaptive interference avoidance scheme is developed. Using the proposed scheme, the UAVs can effectively reconfigure their positions to avoid the interference and improve the data flow from the source(s) to the destination(s). The weighted Cheeger constant for 3D scenarios is introduced as an effective metric to improve the UAVs network connectivity. This work got accepted to INFOCOM 2019, and the full paper can be found here.
Simple demos of the proposed trajectory design are shown in the following animated figures. In the figures for trajectory of the UAVs, the circles show the final locations of the UAVs, while the beginning of the lines show the initial locations of the UAV relays.
Single interferer
In this scenario, we consider one interferer, one source, one destination and 8 UAVs acting as relays to deliver the information from the source to the destination.
Single interferer |
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Multiple interferers
Here, we consider 3 interferers where we show both top and 3D view of the trajectory design.
Multiple interferer (top view) | Multiple interferer (3D view) |
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