3 papers
cs.NI2022
Switching in the Rain: Predictive Wireless x-haul Network Reconfiguration
Igor Kadota, Dror Jacoby, Hagit Messer +2
Wireless x-haul networks rely on microwave and millimeter-wave links between 4G and/or 5G base-stations to support ultra-high data rate and ultra-low latency. A major challenge ass…
eess.SY2019
Physics-Informed Deep Neural Network Method for Limited Observability State Estimation
Jonatan Ostrometzky, Konstantin Berestizshevsky, Andrey Bernstein +1
The precise knowledge regarding the state of the power grid is important in order to ensure optimal and reliable grid operation. Specifically, knowing the state of the distribution…
eess.SP2018
On the Information in Extreme Measurements for Parameter Estimation
Jonatan Ostrometzky, Hagit Messer
This paper deals with parameter estimation from extreme measurements. While being a special case of parameter estimation from partial data, in scenarios where only one sample from…