Abstract:
Aspects of the disclosure are related to identifying whether an apparatus (e.g., base station, access point, etc.) is transmitting using a CRS based transmission scheme or a UE-RS based transmission scheme. Such detection may be necessary for PDSCH interference cancellation (IC) of a neighboring cell since a UE may not know which transmission scheme is used by the neighboring cell. For instance, the UE may know the transmission scheme of the serving cell, but the UE may not know the transmission scheme of a neighboring non-serving cell. As such, aspects of the disclosure provide for a blind detection algorithm to identify or determine a transmission mode or transmission scheme of a neighboring cell to then apply interference cancellation (IC) to an interfering signal received from the neighboring cell.
Abstract:
Certain aspects of the present disclosure relate to methods and apparatus for transmission restriction and efficient signaling. A base station (BS) may determine information regarding a restricted set of system parameters used for transmission from at least one of the serving BS or one or more potentially interfering BSs and signal the information to a user equipment (UE). According to certain aspects, a UE may receive the signaling of information regarding the restricted set of system parameters used for transmission from at least one of the serving BS or the one or more potentially interfering BSs and use the information to cancel interference by transmissions from the one or more potentially interfering BSs or serving BS.
Abstract:
Certain aspects of the present disclosure relate to methods and apparatus for employing a neighboring cell's assistance information for interference mitigation (e.g., by conveying the information to a user equipment). A base station (BS) may determine assistance information for a neighboring cell and convey it to a user equipment (UE). A UE may receive assistance information for a neighboring cell and use that information for performing interference cancellation or suppression on received signals. The UE may receive the assistance information from a serving cell or a non-serving cell. The assistance information may be valid for a particular transmission instance, for a known period of time, or until updated by a BS.
Abstract:
A method of wireless communication is presented. The method includes determining, for each resource element group of a resource block pair, whether an interfering control channel is present on the resource block pair. The determination may be based on whether estimated power of the resource element groups varies among two or more resource element groups. The method also includes estimating the interference on the resource block pair based on the determination.
Abstract:
Parameters associated with an interfering downlink transmission may be determined at the UE or may be signaled to the UE from an eNodeB. The parameters may be actual parameters or hypothetical parameters. Based on the parameters, the UE may determine a metric that reflects an amount of interference cancelled from the interfering data channel transmission. The UE determines a quasi-clean channel state information and/or interference efficiency based on the parameters. The UE may transmit the quasi-clean CSI and/or the interference efficiency to the eNodeB.
Abstract:
Certain aspects of the present disclosure provide techniques for wireless communications by an apparatus. A method includes sending signaling indicative of one or more power ratios, wherein each of the one or more power ratios is based on a transmit power for transmitting sounding reference signal (SRS) using a corresponding antenna and a receive power for receiving channel state information reference signal (CSI-RS) using the corresponding antenna, and wherein the one or more power ratios are associated with one or more antennas; sending a first CSI-RS; receiving a first SRS; receiving first channel state feedback (CSF) corresponding to the CSI-RS; and performing channel estimation based on the first CSF and the first SRS.
Abstract:
A user equipment (UE) may receive a configuration for collecting measurements to at least one of train or verify a positioning model. The UE may receive a set of positioning signals. The UE may measure the set of positioning signals. The UE may output a subset of the measured set of positioning signals to at least one of train or verify the positioning model based on the configuration. The UE may output the subset of the measured set of positioning signals by training verifying the positioning model at the UE based on the subset of the measured set of positioning signals, or by transmitting the subset of the measured set of positioning signals to at least one of train or verify the positioning model.
Abstract:
Certain aspects of the present disclosure provide techniques for wireless communications by a user equipment (UE), including receiving, from a network entity, one or more parameters for performing interference prediction at the UE; predicting, for each of at least one communications resource, a predicted interference at the UE, wherein the predicted interference comprises a plurality of probability values, each probability value of the plurality of probability values being associated with a different class of a plurality of classes, each class of the plurality of classes associated with a corresponding range of interference power; and sending, to the network entity, a report based on the predicted interference.
Abstract:
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, a transformer configuration that includes a transmitter neural network configured to be used to generate at least one latent vector corresponding to one or more channel state information (CSI) feedback tasks of a plurality of CSI feedback tasks associated with a transformer-based cross-node machine learning system, and transmit the at least one latent vector based at least in part on instantiating the transmitter neural network. Numerous other aspects are described.
Abstract:
Aspects presented herein may improve the efficiency and performance of artificial intelligence (AI)/machine learning (ML) (AI/ML) positioning by enabling a network node (e.g., a base station, a transmission reception point (TRP), etc.) to compress uplink (UL) reference signal measurements to reduce reporting overhead for the UL reference signal measurements. In one aspect, a network node performs at least one channel impulse response (CIR) measurement or at least one channel frequency response (CFR) measurement for a set of sounding reference signals (SRSs). The network node compresses the at least one CIR measurement or the at least one CFR measurement for the set of SRSs. The network node reports, for a network entity, one or more of the at least one compressed CIR measurement or the at least one compressed CFR measurement for the set of SRSs.