Abstract: A computer-implemented method for restoring a sequence for a dataset with frame dropping includes receiving an input sequence. A set of features is extracted from the input sequence. A frequency distribution is determined for the input sequence based on the extracted features. Data for the frequency distribution is augmented through an autoencoder to generate an augmented frequency distribution. Time domain information for the input sequence is restored by performing an inverse fast Fourier transformation on the augmented frequency distribution. In turn, the input sequence is classified based on the restored time domain information for the input sequence.

Abstract: A computer-implemented method for restoring a sequence for a dataset with frame dropping includes receiving an input sequence. A set of features is extracted from the input sequence. A frequency distribution is determined for the input sequence based on the extracted features. Time domain information for the sequence is restored and in turn, data for the input sequence is augmented based on the restored time domain information. Additionally, noise is removed from the input sequence.

Abstract: A computer-implemented method for restoring a sequence for a dataset with frame dropping includes receiving an input sequence. A set of features is extracted from the input sequence. A frequency distribution is determined for the input sequence based on the extracted features. Time domain information for the sequence is restored and in turn, data for the input sequence is augmented based on the restored time domain information. Additionally, noise is removed from the input sequence.

Abstract: A computer-implemented method for restoring a sequence for a dataset with frame dropping includes receiving an input sequence. A set of features is extracted from the input sequence. A frequency distribution is determined for the input sequence based on the extracted features. Time domain information for the sequence is restored and in turn, data for the input sequence is augmented based on the restored time domain information. Additionally, noise is removed from the input sequence.

Abstract: Wireless communication systems and methods related to user equipment (UE) context scenario indication-based configurations in a wireless communication network are provided. A UE obtains, from one or more sensors, sensor data. The UE identifies, based on the sensor data, a first context scenario associated with a surrounding environment of the UE or a user status. The UE transmits, to a base station (BS), an indication of the first context scenario. The UE receives, from the BS in response to the indication, a first configuration for the first context scenario.

Abstract: Disclosed are techniques for environment sensing by an electronic device, such as a user equipment (UE) or base station. In an aspect, the electronic device uses a radio frequency (RF) signal configured to transmit information on orthogonal frequency division multiplexing (OFDM) symbols in accordance with a wireless communication standard, such as Fifth Generation (5G) New Radio (NR), for environment sensing. The electronic device configures one or more transmission parameters for the RF signal based on one or more factors related to a resolution to be provided by the RF signal, a type of application for which the environment sensing RF signal is being transmitted, capabilities of the UE, and the like. The electronic device then transmits the environment sensing RF signal, over an uplink, downlink, or sidelink, as appropriate to the type of electronic device, in accordance with the one or more transmission parameters.

Abstract: Embodiments of the present invention disclose a power estimation method and apparatus. On a premise of controlling interference caused by a second node to a first node to be within a range, a transmit power of the second node can be increased so as to improve communication quality of the second node. A specific solution is: obtaining an estimated load value of each first node in N first nodes according to a transmit power and user service requirements of each first node that are obtained and according to a transmit power set for each second node in M second nodes, and further, respectively using the transmit power set for each second node as an allowed transmit power of each second node according to the estimated load value of each first node in the N first nodes.

Abstract: The present disclosure provides a method and an apparatus for determining a performance indicator of a communications network. The method includes: acquiring bandwidth utilization rates, throughputs of GBR services, and throughputs of non-GBR services of multiple areas included in a communications network; determining load statuses of the multiple areas according to the bandwidth utilization rates of the multiple areas; determining rate requirements of the non-GBR services of the multiple areas according to the load statuses of the multiple areas, the throughputs of the GBR services of the multiple areas, and the throughputs of the non-GBR services of the multiple areas; determining rate requirements of the GBR services of the multiple areas; determining loads of the multiple areas according to the rate requirements of the GBR services and the rate requirements of the non-GBR services of the multiple areas; and determining a load-associated key performance indicator of the communications network.

Abstract: Embodiments of the present invention disclose a power estimation method and apparatus. On a premise of controlling interference caused by a second node to a first node to be within a range, a transmit power of the second node can be increased so as to improve communication quality of the second node. A specific solution is: obtaining an estimated load value of each first node in N first nodes according to a transmit power and user service requirements of each first node that are obtained and according to a transmit power set for each second node in M second nodes, and further, respectively using the transmit power set for each second node as an allowed transmit power of each second node according to the estimated load value of each first node in the N first nodes.

Abstract: The present disclosure provides a method and an apparatus for determining a performance indicator of a communications network. The method includes: acquiring bandwidth utilization rates, throughputs of GBR services, and throughputs of non-GBR services of multiple areas included in a communications network; determining load statuses of the multiple areas according to the bandwidth utilization rates of the multiple areas; determining rate requirements of the non-GBR services of the multiple areas according to the load statuses of the multiple areas, the throughputs of the GBR services of the multiple areas, and the throughputs of the non-GBR services of the multiple areas; determining rate requirements of the GBR services of the multiple areas; determining loads of the multiple areas according to the rate requirements of the GBR services and the rate requirements of the non-GBR services of the multiple areas; and determining a load-associated key performance indicator of the communications network.

Abstract: The present invention provides a method, a device, and a system for optimizing a radio network. The method provided in the present invention includes: recognizing a terminal that needs optimization processing; according to a degree of influencing a network handover performance indicator or network load performance indicator by each terminal that needs optimization processing, performing handover priority sorting on the terminal that needs optimization processing to obtain a sorted handover priority result; according to the sorted handover priority result, and based on a configuration rule that a smaller handover parameter value is configured for a terminal with a higher handover priority, configuring a handover parameter for the terminal that needs optimization processing; and sending the handover parameter to a corresponding terminal.