A user apparatus communicates with a first base station apparatus and a second base station apparatus, and the user apparatus includes a receiving unit configured to receive, from the first base station apparatus, a configuration for measuring a timing difference between the first base station apparatus and the second base station apparatus; a control unit configured to execute measurement with respect to the second base station apparatus, based on the configuration for measuring the timing difference; and a transmitting unit configured to transmit a result of the executed measurement, to the first base station apparatus, wherein the executed measurement is executed before starting to communicate with the second base station apparatus.

A user apparatus communicates with a first base station apparatus and a second base station apparatus, and the user apparatus includes a receiving unit configured to receive, from the first base station apparatus, a configuration for measuring a timing difference between the first base station apparatus and the second base station apparatus; a control unit configured to execute measurement with respect to the second base station apparatus, based on the configuration for measuring the timing difference; and a transmitting unit configured to transmit a result of the executed measurement, to the first base station apparatus, wherein the executed measurement is executed before starting to communicate with the second base station apparatus.

The present disclosure relates to apparatus and methods of signal to interference and noise ratio (SINR)-based group beam reporting. In particular, this disclosure relates to measurement report configurations for initiating a protocol layer 1 (L1)-SINR based group beam report, and corresponding measurement resource transmissions by a base station and measurement and reporting actions of the UE to report the L1-SINR for each of at least two beams that can be simultaneously received. The measurement report configurations include a channel measurement resource (CMR) configuration, an interference measurement resource (IMR) configuration, or both. The measurement configuration may indicate a plurality of CMR repetition sets, or N resource sets of 1 CMR resource plus N−1 IMRs, e.g., 1 CMR mapped to N−1 IMRs, or N×(N−1) resource sets of a CMR and an IMR, e.g., 1 CMR mapped to 1 IMR, where N is the number of candidate Tx beams.

The present disclosure relates to apparatus and methods of signal to interference and noise ratio (SINR)-based group beam reporting. In particular, this disclosure relates to measurement report configurations for initiating a protocol layer 1 (L1)-SINR based group beam report, and corresponding measurement resource transmissions by a base station and measurement and reporting actions of the UE to report the L1-SINR for each of at least two beams that can be simultaneously received. The measurement report configurations include a channel measurement resource (CMR) configuration, an interference measurement resource (IMR) configuration, or both. The measurement configuration may indicate a plurality of CMR repetition sets, or N resource sets of 1 CMR resource plus N−1 IMRs, e.g., 1 CMR mapped to N−1 IMRs, or N×(N−1) resource sets of a CMR and an IMR, e.g., 1 CMR mapped to 1 IMR, where N is the number of candidate Tx beams.

Methods and structures are disclosed for using a graphics processing unit (GPU) to detect and organize pulses in an efficient, parallel manner. A received signal is divided into a plurality of sub-batches. Each of the plurality of sub-batches is processed in parallel by detecting a number of pulses present within each of the plurality of sub-batches. A scanning algorithm process for combining the pulse information of the detected pulses includes providing pulse information from detected pulses within a plurality of subgroups with each subgroup including 2.sup.n sub-batches, with n equal to a number of iterations of performing the providing, and repeating the iterations, increasing n by 1 for each iteration, until 2.sup.n is equal to the total number of sub-batches in the plurality of sub-batches. An output array is generated having a size based on a total combined pulse count and including sequential pulses from the plurality of sub-batches.

Methods and structures are disclosed for using a graphics processing unit (GPU) to detect and organize pulses in an efficient, parallel manner. A received signal is divided into a plurality of sub-batches. Each of the plurality of sub-batches is processed in parallel by detecting a number of pulses present within each of the plurality of sub-batches. A scanning algorithm process for combining the pulse information of the detected pulses includes providing pulse information from detected pulses within a plurality of subgroups with each subgroup including 2.sup.n sub-batches, with n equal to a number of iterations of performing the providing, and repeating the iterations, increasing n by 1 for each iteration, until 2.sup.n is equal to the total number of sub-batches in the plurality of sub-batches. An output array is generated having a size based on a total combined pulse count and including sequential pulses from the plurality of sub-batches.

Provided are a CAWN system and a working method thereof, belonging to the technical field of wireless communications. The CAWN system comprises: a centralized data unit for collecting and processing data of a network-side high-layer functional entity, a transmission network functional entity and/or a network-side low-layer functional entity, and generating a control command; the network-side high-layer functional entity for generating, under the control of the centralized data unit, a function of the high-layer functional entity according to measured user information, cell information, and information of a locally running device; the transmission network functional entity for generating, under the control of the centralized data unit, a function of the transmission network functional entity according to the measured user information, cell information, and information of the locally running device; and the network-side low-layer functional entity for generating, under the control of the centralized data unit, a function of the low-layer functional entity according to the measured user information, cell information, and information of the locally running device. According to the technical solution of the present disclosure, a network architecture capable of satisfying the requirements of the next generation mobile communication is provided.

A system and methods relate to, inter alia, determining a prediction confidence level associated with machine identification of production data based on a machine learning model. The system and methods further relate to routing the production data to at least one of a human analyzer device associated with the human analyzer or a prediction engine of the server based on the prediction confidence level for identification of the data. The machine learning model of the system and methods may be configured to be modifiable in response to feedback from at least one of the human analyzer device or the prediction engine.

Apparatus, method and computer program for adjusting radio resource management (RRM) measurements are disclosed. The method includes: obtaining a radio channel propagation profile (902) for a user apparatus, wherein the radio channel propagation profile indicates multipath effects on a radio signal received by the user apparatus; and adjusting (904) radio resource management measurements of the user apparatus based on the radio channel propagation profile.

The present disclosure provides techniques configuring channel state information (CSI) reporting for certain service types, such as the ultra-reliable low latency communications (URLLC) service type. In some cases, a UE may obtain information regarding a first set of channel state information (CSI) reporting configurations for a first service type separate from a second set of CSI reporting configurations for a second service type, receive a first downlink control information (DCI) scheduling a CSI report for the first service type on at least one physical uplink shared channel (PUSCH), generate at least one CSI report for the first service type based on one of the first set of CSI reporting configurations selected based on a field in the DCI, and transmitting the CSI report for the first service type on the PUSCH.