Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using a neural network system that includes a batch normalization layer. One of the methods includes receiving a respective first layer output for each training example in the batch; computing a plurality of normalization statistics for the batch from the first layer outputs; normalizing each component of each first layer output using the normalization statistics to generate a respective normalized layer output for each training example in the batch; generating a respective batch normalization layer output for each of the training examples from the normalized layer outputs; and providing the batch normalization layer output as an input to the second neural network layer.

Abstract: Techniques for controlling the maximum transmission power utilized by transmitters of user equipment are provided. More specifically, a base station may control a transmission power of a transmitter of user equipment that is communicatively coupled to the base station to cause the transmission power of the transmitter to comply with regulations of a geographic location that the user equipment is in. In addition to the base station, the user equipment may control the transmission power of the transmitter. In either case, the transmission power may be based on whether the user equipment is located indoors or outdoors, whether the base station is deployed indoors or outdoors, or both.

Abstract: Systems and methods for using ranging signals with cellular devices. The ranging signals may utilize ranging slots and resources at least partially allocated by a cellular network. The resources may include frequencies used for uplink or downlink communications between the cellular network and the cellular devices. Alternatively, the resources may include frequencies outside of a spectrum used for communication between the cellular network and the cellular devices.

Abstract: Embodiments disclosed herein relate to techniques for measuring and/or detecting a signal-to-interference ratio (SIR) of a received signal at a user equipment (UE). The received signal may include a desired signal, co-channel interference, adjacent channel interference, and an in-band blocker. The UE may filter (e.g., remove) the various interferences and in-band blocker. The UE may determine or measure a power (or Received Signal Strength Indicator (RSSI)) of the desired signal and a power (or RSSI) of the co-channel interference separately because the desired signal and the co-channel interference overlap in frequency. To do so, the UE may determine a total power of the received signal including the desired signal and co-channel interference. The UE may receive the desired signal again while an uplink transmission is deactivated (and thus without the interference). The UE may then calculate the SIR based on the total power and the power of the desired signal.

Abstract: A neural network system that includes: multiple subnetworks that includes: a first subnetwork including multiple first modules, each first module including: a pass-through convolutional layer configured to process the subnetwork input for the first subnetwork to generate a pass-through output; an average pooling stack of neural network layers that collectively processes the subnetwork input for the first subnetwork to generate an average pooling output; a first stack of convolutional neural network layers configured to collectively process the subnetwork input for the first subnetwork to generate a first stack output; a second stack of convolutional neural network layers that are configured to collectively process the subnetwork input for the first subnetwork to generate a second stack output; and a concatenation layer configured to concatenate the pass-through output, the average pooling output, the first stack output, and the second stack output to generate a first module output for the first module.

Abstract: Systems and methods are disclosed for coordinating transmission and reception of data according to multiple communication standards over a frequency band. In particular, one or more base stations/mobile electronic devices may determine a first data size of first data to be sent conforming to a first communication standard and a second data size of second data conforming to a second communication standard. A first time period may then be determined for which to send the first data based on the first data size, and a second time period may be determined for which to send the second data based on the second data size. In response to determining that the frequency channel is clear of other transmissions, the first data may be sent according to the first standard in the first time period, and the second data may be sent according to the second standard in the second time period.

Abstract: An electronic device discussed herein may communicatively couple to a base station. The base station may receive a first paging cycle assignment corresponding to a first subscriber identification module (SIM) card and determine a second paging cycle assignment for use with a second SIM card. The second paging cycle assignment may be generated based on the first paging cycle assignment. The base station may communicate with the electronic device using the second paging cycle assignment. The second paging cycle assignment may guide the base station to transmit data to the electronic device without interrupting a transmission made according to the first paging cycle assignment.

Abstract: This disclosure is generally directed to systems and methods for high power operation in user equipment. The user equipment may indicate to a network high power capability of the user equipment. Based on an uplink signal strength of the user equipment, the network may send a command to the user equipment to transmit using the high power user equipment (HPUE) operation in half-duplex frequency division duplex (HD-FDD) mode. The network may also send a signal for the user equipment to return to a default power mode based on the uplink signal strength. The user equipment may then reconfigure to the default power in full-duplex frequency division duplex (FD-FDD) mode. The user equipment may also send an indication of an uplink duty cycle which indicates the ratio of uplink allocations corresponding to uplink transmissions relative to total uplink and downlink allocations.

Abstract: Techniques for controlling the maximum transmission power utilized by transmitters of user equipment are provided. More specifically, a base station may control a transmission power of a transmitter of user equipment that is communicatively coupled to the base station to cause the transmission power of the transmitter to comply with regulations of a geographic location that the user equipment is in. In addition to the base station, the user equipment may control the transmission power of the transmitter. In either case, the transmission power may be based on whether the user equipment is located indoors or outdoors, whether the base station is deployed indoors or outdoors, or both.

Abstract: Systems and methods for using ranging signals with cellular devices. The ranging signals may utilize ranging slots and resources at least partially allocated by a cellular network. The resources may include frequencies used for uplink or downlink communications between the cellular network and the cellular devices. Alternatively, the resources may include frequencies outside of a spectrum used for communication between the cellular network and the cellular devices.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage medium, for training a neural network, wherein the neural network is configured to receive an input data item and to process the input data item to generate a respective score for each label in a predetermined set of multiple labels. The method includes actions of obtaining a set of training data that includes a plurality of training items, wherein each training item is associated with a respective label from the predetermined set of multiple labels; and modifying the training data to generate regularizing training data, comprising: for each training item, determining whether to modify the label associated with the training item, and changing the label associated with the training item to a different label from the predetermined set of labels, and training the neural network on the regularizing data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing images or features of images using an image classification system that includes a batch normalization layer. One of the systems includes a convolutional neural network configured to receive an input comprising an image or image features of the image and to generate a network output that includes respective scores for each object category in a set of object categories, the score for each object category representing a likelihood that that the image contains an image of an object belonging to the category, and the convolutional neural network comprising: a plurality of neural network layers, the plurality of neural network layers comprising a first convolutional neural network layer and a second neural network layer; and a batch normalization layer between the first convolutional neural network layer and the second neural network layer.

Abstract: Embodiments disclosed herein relate to techniques for measuring and/or detecting a signal-to-interference ratio (SIR) of a received signal at a user equipment (UE). The received signal may include a desired signal, co-channel interference, adjacent channel interference, and an in-band blocker. The UE may filter (e.g., remove) the various interferences and in-band blocker. The UE may determine or measure a power (or Received Signal Strength Indicator (RSSI)) of the desired signal and a power (or RSSI) of the co-channel interference separately because the desired signal and the co-channel interference overlap in frequency. To do so, the UE may determine a total power of the received signal including the desired signal and co-channel interference. The UE may receive the desired signal again while an uplink transmission is deactivated (and thus without the interference). The UE may then calculate the SIR based on the total power and the power of the desired signal.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using a neural network system that includes a batch normalization layer. One of the methods includes receiving a respective first layer output for each training example in the batch; computing a plurality of normalization statistics for the batch from the first layer outputs; normalizing each component of each first layer output using the normalization statistics to generate a respective normalized layer output for each training example in the batch; generating a respective batch normalization layer output for each of the training examples from the normalized layer outputs; and providing the batch normalization layer output as an input to the second neural network layer.

Abstract: An electronic device discussed herein may communicatively couple to a base station. The base station may receive a first paging cycle assignment corresponding to a first subscriber identification module (SIM) card and determine a second paging cycle assignment for use with a second SIM card. The second paging cycle assignment may be generated based on the first paging cycle assignment. The base station may communicate with the electronic device using the second paging cycle assignment. The second paging cycle assignment may guide the base station to transmit data to the electronic device without interrupting a transmission made according to the first paging cycle assignment.

Abstract: Systems and methods are disclosed for coordinating transmission and reception of data according to multiple communication standards over a frequency band. In particular, one or more base stations/mobile electronic devices may determine a first data size of first data to be sent conforming to a first communication standard and a second data size of second data conforming to a second communication standard. A first time period may then be determined for which to send the first data based on the first data size, and a second time period may be determined for which to send the second data based on the second data size. In response to determining that the frequency channel is clear of other transmissions, the first data may be sent according to the first standard in the first time period, and the second data may be sent according to the second standard in the second time period.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage medium, for training a neural network, wherein the neural network is configured to receive an input data item and to process the input data item to generate a respective score for each label in a predetermined set of multiple labels. The method includes actions of obtaining a set of training data that includes a plurality of training items, wherein each training item is associated with a respective label from the predetermined set of multiple labels; and modifying the training data to generate regularizing training data, comprising: for each training item, determining whether to modify the label associated with the training item, and changing the label associated with the training item to a different label from the predetermined set of labels, and training the neural network on the regularizing data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using a neural network system that includes a batch normalization layer. One of the methods includes receiving a respective first layer output for each training example in the batch; computing a plurality of normalization statistics for the batch from the first layer outputs; normalizing each component of each first layer output using the normalization statistics to generate a respective normalized layer output for each training example in the batch; generating a respective batch normalization layer output for each of the training examples from the normalized layer outputs; and providing the batch normalization layer output as an input to the second neural network layer.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a neural network. In one aspect, the neural network includes a batch renormalization layer between a first neural network layer and a second neural network layer. The first neural network layer generates first layer outputs having multiple components. The batch renormalization layer is configured to, during training of the neural network on a current batch of training examples, obtain respective current moving normalization statistics for each of the multiple components and determine respective affine transform parameters for each of the multiple components from the current moving normalization statistics. The batch renormalization layer receives a respective first layer output for each training example in the current batch and applies the affine transform to each component of a normalized layer output to generate a renormalized layer output for the training example.

Abstract: A base station may send an indication of frequency subranges supported by the base station to user equipment, which may respond with an indication of the frequency subranges that are also supported by the user equipment. Additionally, a Spectrum Access System (SAS) controller, using environmental sensing capability sensors, may determine whether non-federal networks are disposed in a coverage area of a base station and neighboring coverage areas. If so, then the SAS may indicate to the base station to send an indication to user equipment in the coverage area to operate using a default power mode. Otherwise, the SAS may indicate to the base station to send an indication to the user equipment to operate using a lower power mode. Moreover, a base station may indicate a regulatory requirement to user equipment using network signaling value of multiple network signaling values corresponding to multiple regulatory requirements of multiple geographical regions.