Abstract:
A method, an apparatus, and a computer program product for wireless communication are provided in connection with UE centric interfering cell communication protocol usage detection. In one example, a communications device (e.g., a UE) is equipped to receive one or more signals from each cell of a plurality of cells including a set of interfering cells. The set of interfering cells includes one or more interfering cells. The UE can detect system release version information for at least one cell from the set of interfering cells, and then modify its communication processing with a serving cell based on the detected system release version information.
Abstract:
Systems and methods are disclosed which implement one or more overhead reduction technique, if channel conditions favorable to implementation of overhead reduction are present. The one or more overhead reduction technique may have one or more restriction corresponding to the channel for which the overhead reduction technique is implemented. The one or more overhead reduction technique implemented may include time-domain bundling, frequency-domain bundling, and pattern adaptation. Pattern adaptation may include pattern code-domain reduction, pattern timing-domain reduction, and pattern frequency-domain reduction.
Abstract:
A method, an apparatus, and a computer program product for wireless communication are provided in which a system timing is estimated, derived from timing of one or more cells, a timing offset is determined for a plurality of cells relative to the estimated system timing, and signals received form the plurality of cells are processed using the timing offsets. In addition, a method, an apparatus, and a computer program product for wireless communication are provided in which a carrier frequency is estimated, derived from a frequency of one or more cells, a frequency offset is determined for a plurality of cells relative to the estimated system timing, and signals received form the plurality of cells are processed using the frequency offsets.
Abstract:
Incremental interference cancelation (IC) capability management and signaling is disclosed. A mobile device selects certain groups of its individual IC capabilities to deactivate in response to various operating conditions it is experiencing. The mobile device reports its currently active IC capability to a serving base station, which uses information to determine whether to modify any existing communication conditions with respect to the reporting mobile device. The base station detects and analyzes the current communication conditions with respect to the reporting mobile device in light of the mobile device's currently active IC capabilities. The base station may modify such conditions through actions such as signaling the mobile device to activate or deactivate certain other groups of IC capabilities. The base station can make other modifications such as changing the communication schedule for the mobile device, modifying the control loop for channel quality indicator (CQI) reporting, and the like.
Abstract:
A communications transceiver system that employs self-interference mitigation techniques can detect static objects by using techniques that introduce angular or Doppler diversity. This can include moving Tx and Rx antennas and/or performing beam sweeping. When processing RF sensing data from reflected RF signals, self-interference mitigation techniques can be used and compensation can be made for the movement and/or beam sweeping to allow for both self-interference mitigation and detection of static objects.
Abstract:
A method, apparatus, or computer-readable medium with instructions for beam management for radio frequency (RF) sensing at a wireless device. The wireless device performs a first beamsweep of an RF signal and measures a reflection of the RF signal based on the first beamsweep. The wireless device performs a second beamsweep of the RF signal, wherein the first beamsweep is based on a different parameter than the second beamsweep and measures the reflection of the RF signal based on the second beamsweep. The wireless device selects a beam for RF sensing based on the first beamsweep and the second beamsweep.
Abstract:
Methods, systems, and devices for wireless communications are described. A network entity may transmit, and a user equipment (UE) may receive, signaling identifying a configuration of a set of multiple machine learning (ML) models for channel characteristic prediction. The channel characteristic prediction may include a channel characteristic prediction for each ML model of the set of multiple ML models based on a respective reference signal resource of the set of multiple reference signal resources. The network entity may obtain an input to the set of multiple ML models based on performing one or more measurements associated with the set of multiple reference signal resources. The network entity may output, and the UE may obtain, the input. The UE may process the input using at least one ML model of the set of multiple ML models to obtain the channel characteristic prediction of the at least one ML model.
Abstract:
In one aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a user equipment (UE) or a component thereof. The apparatus may be configured to receive pilot signals from a base station on a first subset of a set of antenna ports of a channel. The apparatus may be further configured to measure a first set of values corresponding to the first subset of the set of antenna ports based on receiving the pilot signals transmitted from the base station on the first subset of the set of antenna ports. The apparatus may be further configured to derive a second set of values corresponding to a second subset of the set of antenna ports of the channel based on receiving the pilot signals on the first subset of the set of antenna ports.
Abstract:
Methods, systems, and devices for wireless communications are described. A first device and a second device may communicate via a channel. The first device may generate and transmit a reference signal, which may be a distortion probing reference signal with a high peak to average power ratio. In one implementation, the first device may use the reference signal as an input for a neural network model to learn a nonlinear response of the second device transmission components. In another implementation, the second device may sample the generated reference signal, and use the samples as inputs for a neural network model to learn the nonlinear response. The first device and the second device may exchange signaling based on learning the nonlinear response, and each device may compensate for the nonlinear response when communicating via the channel.
Abstract:
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network entity may generate cell information about a first cell provided at least in part by the first network entity, the cell information associated with one or more potential sources of interference at a second cell provided at least in part by a second network entity, the one or more potential sources of interference being associated with the first cell. The first network entity may communicate the cell information to the second network entity. Numerous other aspects are described.