The signals used by today’s high-frequency wireless networks are very sensitive to the environment and blocked easily by fixed obstacles. UCF’s Murat Yuksel is using advanced algorithmic methods that can learn the features of the environment to fine tune these networks to provide higher data transfer rates.

Increasing demand for wireless data transfers “causes more tussle on the sharing of the underlying natural resource, which is the radio spectrum that supports these wireless transfers,” says Yuksel. The deep learning network will select the optimal waveform modifications and beam direction to manage the drones and nodes that provide wireless signals and modifications.

• Murat Yuksel