A method for identifying radio signal transmission characteristics in a wireless communication system and an apparatus therefor are provided. The method may include identifying a signal transmission site, identifying a signal reception site, finding an area where a tree is present between the signal transmission site and the signal reception site, checking characteristics of the crown of the tree and characteristics of the trunk of the tree, and examining transmission characteristics of a radio signal sent from the signal transmission site to the signal reception site on the basis of the characteristics of the crown and the trunk. The method and apparatus relate 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), and may be applied to intelligent services based on the 5G communication and the IoT-related technologies.

An object of the present invention is to provide a mobile terminal capable of predicting fluctuation in communication quality. The mobile terminal according to the present invention uses terminal information consisting of position/orientation/speed/component operation/control command information/camera information/sensor information, and the like of the mobile terminal to model a relationship with communication quality and predict the communication quality using the obtained communication quality prediction model. When fluctuations in communication quality can be predicted, it is possible to cope with the fluctuations (especially deterioration) in communication quality in advance (for example, to change a communication destination station, to decrease a data rate in an application, or to change a control mode of a terminal to a safer mode, by knowing in advance deterioration in quality of a radio signal).

Machine learning (ML) assisted channel state information (CSI) reporting or ML assisted CSI prediction includes receiving CSI reporting configurations that include indications that enable or disable at least one of: ML-assisted CSI prediction and artificial intelligence channel feature information (AI-CFI) reporting. ML model training is performed or trained ML model parameters are received, and CSI reference signals corresponding to at least one of the CSI reporting configurations are received. If ML-assisted CSI prediction is enabled, the CSI reporting configurations further include: a timing offset for future CSI prediction, and ML configurations including indication of an ML model used for the ML-assisted CSI prediction. If AI-CFI reporting is enabled, the CSI reporting configurations further include: a configuration for a report of the AI-CFI, and ML configurations including indication of an ML model used for the ML assisted-CSI feedback determination.

Certain aspects of the present disclosure provide techniques and apparatus for identifying beamforming parameters to use in processing received signaling using a neural network. An example method generally includes receiving a first plurality of signals on a wireless communication channel. A first plurality of beamformed signals is generated by generating, for each respective signal of the first plurality of signals, a respective beamformed signal using beamforming parameters selected from a configured set of beamforming parameters. First predicted beamforming parameters are generated using a neural network and the first plurality of beamformed signals. A second signal is received on the wireless communication channel. The second signal is beamformed using beamforming parameters selected from a group of beamforming parameters including the configured set of beamforming parameters and the first predicted beamforming parameters.

An electronic apparatus is provided. The electronic device includes: a communication interface comprising communication circuitry; a memory storing information for correcting a signal received from each of a plurality of other electronic devices; and a processor connected to the memory and the communication interface and configured to control the electronic device, wherein the processor is configured to: control the communication interface to perform communication with another electronic device operating as a software enabled access point, identify another electronic device that has transmitted a signal among the plurality of other electronic devices based on the signal based on the signal being received from another electronic device through the communication interface, and correct the received signal based on correction information corresponding to another electronic device among the information stored in the memory.

A method for enhancing uplink and downlink coverage is applied in a base station for the benefit of a terminal user. The base station receives from the user terminal an uplink scheduling request and GPS location. In response, the base station determines a penetration loss level of the GPS location, the penetration loss being attenuation of signals when signals penetrate an outer structure of a building. The base station further determines a transmission frequency of the uplink according to the penetration loss level which is set by reference to base station Tables of penetration loss for buildings and areas within its coverage area, and generates a scheduling strategy comprising the transmission frequency of the uplink, sending the scheduling strategy including the transmission frequency of the uplink to the user terminal for use in intercommunication.

A method, a server, and a non-transitory computer readable medium are disclosed for switching from a radio frequency (RF) signal to an Internet Protocol (IP) connection based on rain fade events. The method includes receiving, on a server, current rain fade event data from one or more set-top boxes; receiving, on the server, past rain fade event data from the one or more set-top boxes; receiving, on the server, past weather data; receiving, on the server, current weather data; calculating, on the server, a likelihood of the one or more set-top boxes experiencing a rain fade event; and sending, from the server, an IP message to switch from the radio frequency (RF) signal to the Internet Protocol (IP) connection to each of the one or more set-top boxes likely to experience the rain fade event before the rain fade event occurs.

A device may receive location information associated with a fixed service satellite station (receiver) configured to communicate via a first radio frequency (RF) band. The device may obtain historical communication data associated with the location and relating to previous communications conducted via a second RF band, of user equipment (UEs). The historical communication data may include historical signal power measurements of the previous communications. The device may adjust the historical signal power measurements to model estimated signal power measurements relating to a UE to communicating via a first RF band. The device may determine, based on the estimated signal power measurements, an interference score associated with a probability of a UE interfering with the receiver when communicating, via a first RF band, with a base station.

Apparatuses, methods, and systems for dynamically estimating a propagation time between a first node and a second node of a wireless network are disclosed. One method includes receiving, by the second node, from the first node a packet containing a first timestamp representing the transmit time of the packet, receiving, by the second node, from a local time source, a second timestamp corresponding with a time of reception of the first timestamp received from the first node, calculating a time difference between the first timestamp and the second timestamp, storing the time difference between the first timestamp and the second timestamp, calculating a predictive model for predicting the propagation time based the time difference between the first timestamp and the second timestamp, and estimating the propagation time between the first node and the second node at a time by querying the predictive model with the time.

Methods, systems and apparatus are described for enhanced node communication within a wireless node network having nodes and a server. The method begins with a first node associating with a second according to a server tracked logical connection authorized by the server. The first node captures relevant node information including shared data from another of the nodes. The first node transmits, when operating in a first connectivity mode, at least the shared data to the server using the second node operating as an intermediary for indirect communication with the server. The first node transmits, when operating in a second connectivity mode, at least the shared data to the server without using the second intermediary node by having the first node transmitting a message with at least the shared data to the server while avoiding the need to first send the message to the second node during transit to the server.