Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive a reference signal in a first frequency band of a first frequency range; perform a measurement of the reference signal; determine a predicted measurement in a second frequency band of a second frequency range using a model and based at least in part on the measurement of the reference signal received in the first frequency band of the first frequency range; and transmit measurement information for the second frequency band based at least in part on the predicted measurement. Numerous other aspects are provided.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may identify a failure associated with a machine learning prediction for one or more network parameters; report, to a base station, failure information regarding the failure associated with the machine learning prediction; receive, from the base station, response information identifying an alteration to a communication configuration as a response to the failure associated with the machine learning prediction; and implement the alteration to the communication configuration based at least in part on receiving the response information. Numerus other aspects are provided.

A system for synthesizing signal of user equipment and a method thereof are provided. The system includes a physical channel modeler and a physical channel training module. The physical channel modeler receives geo information of a field under test of and a sparse real physical field channel feature to build a physical channel model. The physical channel modeler estimates a plurality of predefined positions of the geo information to obtain a plurality of simulated physical field channel features corresponding to the predefined positions. The physical channel training module receives and performs training on the geo information, the sparse real physical field channel feature and the simulated physical field channel features by using an AI algorithm to perform an inference of a fully real physical field channel feature.

Facilitating a transmission power dependent resource reservation protocol in advanced networks (e.g., 5G, 6G, and beyond) is provided herein. Operations of a method can comprise defining, by a system comprising a memory and a processor, a resource reservation procedure that associates respective amounts of reserved resources available for the mobile device based on a transmission power level of the mobile device. The method also can comprise selecting, by the system, an amount of reserved resources from the respective amounts of reserved resources available based on the transmission power level of the mobile device.

Systems and methods are disclosed for modulating wireless signals in 5G (and future 6G) networks, to mitigate faults from noise or interference, optimize reliability, and enhance message throughput, according to some embodiments. Versions may include modulation tables for phase and amplitude modulation of message symbols in which the number of amplitude levels is different from the number of phase levels. Alternatively, the number of amplitude levels and/or phase levels may be other than a power of two. Other versions may provide a non-uniform spacing of amplitude levels or phase levels for optimal SNR throughout. Specific modulation states of the modulation table may be excluded, or declared invalid for signaling, thereby increasing the noise immunity of the remaining valid states. Embodiments of the disclosed modulation tables can provide improved signal clarity, fewer dropped messages, fewer retransmit requests, higher throughput, faster uploads and downloads, and more satisfied wireless customers overall.

A communication system, includes a satellite receiver in operable communication with a central server, a cellular node configured to operate within a proximity of the satellite receiver, and at least one mobile communication device configured to communicate (i) with the cellular node, (ii) within the proximity of the satellite receiver, and (iii) using a transmission signal capable of causing interference to the satellite receiver. The satellite receiver is configured to detect a repeating portion of the transmission signal and determine a potential for interference from the at least one mobile communication device based on the detected repeating portion.

A method, apparatus, and system of optimizing transmission of data in a power domain non-orthogonal multiple access system is described. The method includes generating a first encoded data stream associated with a first user device, and generating a second encoded data stream associated with a second user device. The method also includes generating a superimposed signal using the first encoded data stream and the second encoded data stream. In addition, the method includes determining a first minimum beam power associated with a first beam vector, and determining a second minimum beam power associated with a second beam vector. The method also includes transmitting the superimposed signal to the first user device at the first minimum beam power, and transmitting the superimposed signal to the second user device at the second minimum beam power.

A disclosure of the present specification provides a method for measuring an interference from a neighboring device. The method may performed by a device and comprise: measuring, by the device, an interference based on a reference signal from a neighboring device, which is served by a neighboring cell; and transmitting, by the device, a measurement report to a serving cell, the measurement report including a measured value of the interference. One or more steps of measuring the interference and transmitting the measurement report may be performed based on configuration information. The configuration information includes one or more of start information, end information, a timer or a threshold.

An occupancy tracking device configured to receive sound samples, to identify voices within the sound samples, and to determine a first occupancy level based on the identified voices. The device is further configured to identify user devices connected to an access point and to determine a second occupancy level based on the user devices that are connected to the access point. The device is further configured to measure a signal strength of a network connection with the access point and to determine a third occupancy level based on the signal strength of the network connection with the access point. The device is further configured to determine a predicted occupancy level based on the first occupancy level, the second occupancy level, and the third occupancy level and to control a Heating, Ventilation, and Air Conditioning (HVAC) system based on the predicted occupancy level.

An apparatus and method for predicting the impact of various weather conditions on signal quality in a satellite communication system. A first model is generated for predicting RF signal degradation, and trained with link quality metrics from selected terminals over a first time interval. A second model is generated for predicting RF signal degradation resulting from weather conditions, and trained with both the link quality metrics from the selected terminals and weather conditions over a second predetermined time interval. Real time link quality metrics are analyzed using the trained first model and the trained second model in order to identify changes in current RF signal quality. At least one recommendation is subsequently generated to indicate a cause for changes in the current RF signal quality.