Abstract: A data center system having plural components including core switches and racks Ri, each rack Ri having plural servers; a global controller configured to control a traffic flow to each rack of the plural racks Ri; plural reconfigurable intelligent surface, RIS, modules, a RIS module being configured to receive a first electromagnetic signal from a first component and emit a second electromagnetic signal toward a second component, the second electromagnetic signal carrying a same information as the first electromagnetic signal; and a local controller configured to adjust an emitting direction of the second electromagnetic signal by changing a current flow through the RIS module.

Abstract: A machine learning based method for channel estimation for a multiple-input multiple-output, MIMO, system, the method including receiving a measured signal y[k] at a receiver of the system; finding subcarriers k of the measured signal y[k]; estimating, with a convolutional neural network, CNN, channel amplitudes ?[k] of the measured signal y[k]; reconstructing a channel ?[k], between the receiver and a transmitter of the system, based on the channel amplitudes ?[k] and a low resolution whiten measurement matrix w; and adjusting a parameter of the system based on the reconstructed channel ?[k]. The channel amplitudes ?[k] are simultaneously estimated by the CNN.

Abstract: A physiological data acquisition system includes an array electrode sensor (220) having plural electrodes and configured to acquire physiological data; a single electrode sensor having a single electrode and configured to acquire additional physiological data; and a hub that is configured to receive the physiological data from the array electrode sensor and the additional physiological data from the single electrode sensor only along body communication channels. At least one of the array electrode sensor and the single electrode sensor is configured to send an energy request signal to the hub, along the body communication channels. The hub, in response to the received energy request signal, emits radio frequency signals, which are used by the at least one of the array electrode sensor and the single electrode sensor to harvest energy.

Abstract: A data center system having plural components including core switches and racks Ri, each rack Ri having plural servers; a global controller configured to control a traffic flow to each rack of the plural racks Ri; plural reconfigurable intelligent surface, RIS, modules, a RIS module being configured to receive a first electromagnetic signal from a first component and emit a second electromagnetic signal toward a second component, the second electromagnetic signal carrying a same information as the first electromagnetic signal; and a local controller configured to adjust an emitting direction of the second electromagnetic signal by changing a current flow through the RIS module.

Abstract: A physiological data acquisition system includes an array electrode sensor (220) having plural electrodes and configured to acquire physiological data; a single electrode sensor having a single electrode and configured to acquire additional physiological data; and a hub that is configured to receive the physiological data from the array electrode sensor and the additional physiological data from the single electrode sensor only along body communication channels. At least one of the array electrode sensor and the single electrode sensor is configured to send an energy request signal to the hub, along the body communication channels. The hub, in response to the received energy request signal, emits radio frequency signals, which are used by the at least one of the array electrode sensor and the single electrode sensor to harvest energy.

Abstract: A machine learning based method for channel estimation for a multiple-input multiple-output, MIMO, system, the method including receiving a measured signal y[k] at a receiver of the system; finding subcarriers k of the measured signal y[k]; estimating, with a convolutional neural network, CNN, channel amplitudes ?[k] of the measured signal y[k]; reconstructing a channel ?[k], between the receiver and a transmitter of the system, based on the channel amplitudes ?[k] and a low resolution whiten measurement matrix Yw; and adjusting a parameter of the system based on the reconstructed channel ?[k]. The channel amplitudes ?[k] are simultaneously estimated by the CNN.