Abstract:
A method of wireless communication includes communicating with a base station using an extended special subframe. Communicating with the base station using the extended special subframe may be performed by disabling an uplink pilot time slot and an adjacent uplink subframe.
Abstract:
Certain aspects of the present disclosure generally relate to techniques for selecting a base graph to be used for wireless communications. Selection can be based on a variety of factors. Abase graph can be used to derive a low-density parity-check (LDPC) code used for encoding a retransmission of an original transmission. An exemplary method generally includes selecting, based on a modulation and coding scheme (MCS) and a resource allocation (RA) for transmitting a codeword, a base graph (BG), from which to derive a low density parity check (LDPC) code for use in encoding data bits in the codeword (e.g., encoding data bits of a bitstream such that some redundant bits are included in the codeword), encoding the data bits to generate the codeword using the LDPC code derived from the selected BG, and transmitting the codeword using the MCS via resources of the
Abstract:
Radio frequency (RF) sensing by a sensing entity with an oscillator that introduces frequency errors is supported using dual direction bistatic sensing. The sensing entity transmits a sensing signal that is reflected by an object and received by a second sensing entity, which measures a first frequency offset that includes an oscillator error from the transmission of the sensing signal and a Doppler shift from the object. The sensing entity also receives and measures a second frequency offset of a sensing signal transmitted by the second sensing entity and reflected by the object, which includes a second frequency offset that includes an oscillator error from the reception of the sensing signal and a Doppler shift from the target object. The velocity of the object may be estimated based on a combination of the first and second frequency offsets, which cancels the oscillator error caused by the sensing entity.
Abstract:
In an aspect, a UE obtains information (e.g., UE-specific information) associated with a set of triggering criteria (e.g., from a server, a serving network, e.g., in conjunction with or separate from a set of neural network functions) for a set of neural network functions, the set of neural network functions configured to facilitate positioning measurement feature processing at the UE, the set of neural network functions being generated dynamically based on machine-learning associated with one or more historical measurement procedures. The UE obtains positioning measurement data associated with a location of the UE, and processes the positioning measurement data into a respective set of positioning measurement features based at least in part upon the positioning measurement data and at least one neural network function from the set of neural network functions that is triggered by at least one triggering criterion from the set of triggering criteria.
Abstract:
Certain aspects of the present disclosure provide techniques for transmitting and processing channel state information (CSI) reference signals (CSI-RS). An exemplary method includes determining a configuration of channel state information reference signals (CSI-RSs), wherein the configuration indicates a set of resource elements (REs) to be used for CSI-RSs and a first mapping of CSI-RS ports to the set of REs; sending an indication of the configuration of the CSI-RSs; and transmitting the CSI-RSs according to the determined configuration.
Abstract:
A transmitting device applies a first MCS to a first set of data tones that overlaps with a first set of PRTs within a plurality of tones, the first set of PRTs being associated with a first PAPR reduction signal. The transmitting device applies a second MCS to a second set of data tones that overlaps with a second set of PRTs within the plurality of tones, the second set of PRTs being associated with a second PAPR reduction signal. The transmitting device can transmit a transmission signal comprising the first set of data tones and the second set of data tones, the transmission signal using a waveform based at least in part on the first PAPR reduction signal and the second PAPR reduction signal.
Abstract:
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may train a first set of layers of a neural network based on channel estimates using a set of resources. The UE may generate a set of weights for the first set of layers of the neural network based on the training. The UE may receive, from a first network entity, an indication of an association between a first set of signaling and a second set of signaling based on the first set of layers of the neural network. The UE may receive the second set of signaling from a second network entity and process the second set of signaling using the set of weights for the first set of layers based on the association between the first set of signaling and the second set of signaling.
Abstract:
Wireless communications systems and methods related to bandwidth-efficient utilization of peak reduction tone resource are provided. An example method of wireless communications performed by a user equipment (UE) includes receiving, from a base station in a first subband, a resource allocation indicating a set of transmission tones comprising a set of first data tones, a set of second data tones and a set of peak reduction tones (PRTs). The resource allocation can indicate the set of first data tones overlaps at least a portion of the set of PRTs at respective locations of a set of PRT locations and the set of second data tones is arranged at a set of data tone locations within a particular bandwidth. The UE can communicate, with the base station in a second subband, a data transmission using an outgoing waveform based at least in part on the resource allocation.
Abstract:
Wireless communication techniques that include techniques for allocating resources for peak reduction tones are discussed. A UE may receive from a base station an indication of one or more frequency resources that are allocated for uplink communication. The UE may also receive from the base station an indication of a subset of the one or more frequency resources allocated for uplink communication that are also allocated for transmission of one or more peak reduction tones. The UE may transmit to the base station at least one peak reduction tone on at least one frequency resource of the subset of the one or more frequency resources. Other aspects and features are also claimed and described.
Abstract:
Various embodiments include methods performed in receiver circuitry of a wireless communication device for demodulating wireless transmission waveforms to reconstruct data tones, which may include receiving, from a transmitter, wireless transmission waveforms that includes peak reduction tones (PRTs) that were inserted by a PRT neural network in the transmitter, and demodulating the received wireless transmission waveforms using a decoder neural network that has been trained based on outputs of the transmitter to output a reconstruction of the data tones. Further embodiments include exchanging information between the transmitter and receiver circuitry to coordinate the PRT neural network used for inserting PRTs in the transmitting wireless communication device and the decoder neural network used in the receiving wireless communication device for demodulating transmission waveforms received from the transmitting wireless communication device.