H04B17/327

METHOD AND APPARATUS FOR CALIBRATING PHASED ARRAY ANTENNA

The present disclosure relates to a communication technique for merging, with an IoT technology, a 5G communication system for supporting a higher data transmission rate than a 4G system, and a system therefor. The present disclosure can be applied to intelligent services (for example, smart homes, smart buildings, smart cities, smart cars or connected cars, healthcare, digital education, retail businesses, security- and safety-related services, and the like) on the basis of a 5G communication technology and an IoT-related technology. The present disclosure discloses a method for calibration of a phased array antenna.

Method and apparatus for random access procedure

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The present disclosure provides method and apparatus of performing random access procedure.

Method and apparatus for random access procedure

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The present disclosure provides method and apparatus of performing random access procedure.

Neural network-based spatial inter-cell interference learning

A method of wireless communication by a network device includes receiving a location of a user equipment (UE). The method also includes receiving information associated with neighbor cell transmit beams. The method further includes predicting a spatial inter-cell interference-based distribution at the location of the UE based on the information associated with the neighbor cell transmit beams.

Neural network-based spatial inter-cell interference learning

A method of wireless communication by a network device includes receiving a location of a user equipment (UE). The method also includes receiving information associated with neighbor cell transmit beams. The method further includes predicting a spatial inter-cell interference-based distribution at the location of the UE based on the information associated with the neighbor cell transmit beams.

SIGNAL MEASUREMENT METHOD, TERMINAL, AND NETWORK SIDE DEVICE

A method for signal measuring, a terminal and a network-side device are provided. The method is applied to a terminal, and the method includes: receiving a measurement-configuration information sent by a network-side device, wherein the measurement-configuration information contains at least a reported group quantity of a measured value of a target measurement parameter, and the target measurement parameter refers to a parameter of a target measurement signal; according to the measurement-configuration information, measuring the target measurement parameter; and sending the measured value of the target measurement parameter to the network-side device. The embodiments of the method solve the problem that, in the conventional 5G NR system, the configuration information for reference signals has not been complete.

ELECTRONIC DEVICE AND METHOD FOR SCHEDULING RESTRICTION
20220353872 · 2022-11-03 ·

Aspects of the disclosure provide an electronic device including a transceiver and processing circuitry and a method for scheduling restriction. The transceiver can receive from a network configuration information to configure a measurement resource for a signal quality measurement. The signal quality measurement can determine a signal quality of a reference signal from the network to the electronic device. The processing circuitry can determine whether to apply the scheduling restriction based on the configuration information. In response to applying the scheduling restriction, the processing circuitry can determine when to apply the scheduling restriction based at least on a resource type of the measurement resource, the resource type being one of periodic, semi-persistent, and aperiodic. In an example, the signal quality of the reference signal includes a layer 1 (L1) reference signal received power (L1-RSRP) for the reference signal and the signal quality measurement includes an L1-RSRP measurement.

RADIO RESOURCE IDENTIFICATION METHOD AND APPARATUS
20230093039 · 2023-03-23 · ·

A radio resource identification method and an apparatus. The method includes: obtaining OAM mode domain information, where the OAM mode domain information includes a first OAM mode domain identifier, the first OAM mode domain identifier corresponds to a first transmission parameter of a vortex electromagnetic wave in a first OAM physical mode, or the first OAM mode domain identifier corresponds to a first ratio between the first transmission parameter and a reference value, and the reference value includes a transmission parameter of a plane electromagnetic wave or a transmission parameter of a vortex electromagnetic wave in a specified OAM physical mode in a plurality of OAM physical modes; and any plurality of waveform symbols pass through a same vortex electromagnetic wave channel; and determining a radio resource used for uplink transmission or downlink transmission.

METHOD AND SYSTEM FOR ENHANCING CELLULAR NETWORK COVERAGE
20230087645 · 2023-03-23 ·

Systems and methods are provided for enhancing cellular network coverage. In order to enhance network coverage, churn data is correlated with the measured coverage data for the multiple locations in the cellular network. Based on the correlation, a network readiness status in the multiple locations is determined. Network resources are then deployed to any of the multiple locations determined to have a network readiness status of not ready.

SELF-LEARNING NETWORK GEOFENCES
20230092500 · 2023-03-23 ·

Disclosed are methods, systems, apparatus, and computer programs for self-learning geofences is disclosed. In one aspect, a method involves gathering a plurality of data points associated with one or more Citizens Broadband Radio Service (CBRS) deployers; determining respective identifiers of the one or more CBRS deployers associated with the plurality of data points; clustering, based on the respective identifiers of the one or more CBRS deployers, the plurality of data points into one or more clusters, where each cluster is associated with one of the one or more CBRS deployers, and where each cluster is associated with a geofence of a network of the one or more CBRS deployers; identifying an opportunity for uploading the one or more clusters to a central server; and uploading the one or more clusters to the central server during the identified opportunity.