Abstract:
Methods and apparatus for multiplexing reference signals for Multiple Input Multiple Output (MIMO) layers are provided. Resources for Demodulation Reference Signals (DMRS) corresponding to each of two or more data streams are assigned, wherein the resources assigned to each of the data streams are staggered in frequency and span two or more OFDM (Orthogonal Frequency Divisional Multiplexing) symbols. The DMRS is transmitted using the assigned resources.
Abstract:
Aspects of the present disclosure provide systems, methods, and apparatuses for implementing the multiplexing of different orthogonal frequency-division multiplexing (OFDM) waveforms using a transmitter and receiver configured to process different types of signals without a need for distinct hardware structures. In one example, aspects of the present disclosure may include a transmitter configured to transmit both a first type of discrete fourier transform (DFT)-spread OFDM waveform and a second type of DFT-spread OFDM waveform that may be multiplexed over the wireless channel. In some aspects, the transmitter may modify the numerology of the zero-tail DFT-spread OFDM waveform to match the numerology of other OFDM waveforms (e.g., OFDM waveform with zero-guard or a single carrier DFT-spread OFDM with zero-guard).
Abstract:
Various aspects described herein relate to hybrid automatic repeat/request (HARQ) communications in a wireless network. A first instance of a HARQ communication is transmitted or received over a first set of one or more links. Based on the transmitting or receiving the first instance of the HARQ communication, a scheduling grant can be received for a second instance of the HARQ communication over a second set of one or more links different from the first set of one or more links. The second instance of the HARQ communication can accordingly be transmitted or received over the second set of one or more links based at least in part on the scheduling grant.
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. A base 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 RA.
Abstract:
Disclosed are techniques for addressing relation round trip time (RTT) positioning and timing advance (TA) command with user equipment (UE) receive-transmit (Rx-Tx) measurement reporting in wireless network such as in new radio (NR).
Abstract:
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may obtain position information associated with a first subset of network node positions, of a set of network node positions, in connection with a map associated with a wireless coverage area. The network node may obtain map information associated with the map and may determine, based on a machine learning component, a first plurality of predicted pathloss values associated with a second subset of network node positions of the set of network node positions. Numerous other aspects are described.
Abstract:
Certain aspects of the present disclosure provide techniques and apparatus for beam selection using machine learning. A plurality of data samples corresponding to a plurality of data modalities is accessed. A plurality of features is generated by, for each respective data sample of the plurality of data samples, performing feature extraction based at least in part on a respective modality of the respective data sample. The plurality of features is fused using one or more attention-based models, and a wireless communication configuration is generated based on processing the fused plurality of features using a machine learning model.
Abstract:
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive an indication of a positioning reference signal configuration of a base station. The UE may determine, based on the positioning reference signal configuration, a reference point within a carrier bandwidth of a component carrier and a frequency domain allocation for a positioning reference signal relative to the reference point. The UE may transmit the positioning reference signal or measure the positioning reference signal based on the frequency domain allocation.
Abstract:
Aspects of the disclosure relate to wireless communication systems configured to provide techniques for polar coding control information together with combined cyclic redundancy check (CRC) information. The combined CRC information may include a number of CRC bits selected to jointly decode and verify the control information to reduce the CRC overhead.
Abstract:
Certain aspects of the present disclosure provide techniques for authenticating a user based on a machine learning model, including receiving user authentication data associated with a user; generating output from a neural network model based on the user authentication data; determining a distance between the output and an embedding vector associated with the user; comparing the determined distance to a distance threshold; and making an authentication decision based on the comparison.