An object is to provide a communication system and a terminal capable of predicting future communication quality in order to enable variations in communication quality due to variations in environment to be addressed. A communication system and a terminal according to the present invention learn an input and output relationship from terminal information such as surrounding environment information of the terminal that can be acquired by a camera, a sensor, or the like, and position information of the terminal and current communication quality to generate a learning model, and predict future communication quality using the learning model, the surrounding environment information and the terminal information.

A method includes acquiring a plurality of sample level values of a received current frame signal; determining a current power of the current frame signal based on the plurality of sample level values; determining a current traffic signal ratio of the current frame signal based on the plurality of sample level values; taking the current power as a current pilot power of the current frame signal if it is determined that the current traffic signal ratio is less than or equal to a predetermined ratio; and determining the current pilot power of the current frame signal based on the current power, the current power floating upper limit and the current power floating lower limit if it is determined that the current traffic signal ratio is greater than the predetermined ratio. Thus, the pilot power can be accurately determined for different traffic signal ratios.

A method performed by a sharing access point (AP) of a wireless local area network (LAN) system may comprise the steps of: transmitting, to a shared AP, a first station (STA) list and a first measurement notification frame which requests measurement of received signal strength indicators (RSSIs) of signals transmitted from first STAs included in the first STA list; transmitting, to each of the first STAs, a request frame which requests information related to transmission power of the signals transmitted by the first STAs; receiving a report frame including the information related to the transmission power from each of the first STAs; transmitting a multi-AP transmission trigger frame to the shared AP; and transmitting data to each of the first STAs.

An abnormality detection apparatus according to an example embodiment includes a reception unit for receiving radio waves, a feature amount extraction unit for extracting a plurality of feature amounts in a predetermined frequency band from the received radio waves, a recording unit for recording the plurality of extracted feature amounts and the frequency band in association with each other, and a processing unit for acquiring a plurality of feature amounts in a predetermined range from the plurality of accumulated feature amounts, determining whether or not the acquired feature amounts fall within a preset normal range, and generating, based on a result of the determination, an abnormality determination mask, threshold values for the plurality of feature amounts, in order to detect an abnormality of the radio waves being set in the abnormality determination mask.

The present disclosure relates to a method (10) for characterizing a wideband RF device-under-test (DUT) by means of a narrowband RF source or a narrowband RF receiver, the method (10) comprising: selecting (11) a bandwidth of the wideband RF DUT to be analyzed; dividing (12) the selected bandwidth into at least two overlapping sub-bands, the respective sub-bands having a frequency range that corresponds to a bandwidth of the narrowband RF source or the narrowband RF receiver; acquiring (13) a response of the wideband RF DUT for each of the at least two overlapping sub-bands by means of at least two narrowband measurements using the narrowband RF source or the narrowband RF receiver; and calculating (14) a continuous amplitude response and a continuous phase response of the wideband RF DUT in a frequency range that corresponds to the combined bandwidth of the at least two overlapping sub-bands, said calculation making use of the overlap of the sub-bands.

Methods, systems, and devices for wireless communication are described. A communication device, such as a base station or a user equipment (UE) may generate a beacon signal based on a nonuniform power spectral density configuration. The communication device may transmit control signaling indicating a nonuniform power spectral density profile associated with the beacon signal. The nonuniform power spectral density profile may indicate a respective power offset associated with the beacon signal for one or more subset of resource elements of a set of resource elements. The communication device may transmit the beacon signal. Additionally or alternatively, the communication device may receive control signaling indicating the nonuniform power spectral density profile associated with the beacon signal. Based on the nonuniform power spectral density profile, the communication device may receive the beacon signal.

An object is to provide a wireless terminal and a communication quality prediction method for enhancing the versatility of communication quality prediction. In the wireless terminal and the communication quality prediction method according to the present invention, objects are extracted from surrounding environment information such as a camera image collected by a surrounding environment information collection unit, the objects are classified into predetermined categories (for example, whether the extracted objects are persons or machines or whether their moving speeds are high or low), and an image is reconstructed for each category. It is possible to predict communication quality based also on, for example, operations or materials of the objects, by performing machine learning of the communication quality after reconstructing the image for each category.

The method includes splitting a radio signal received at an in-vehicle antenna into two RF streams, and at the device under test, converting the first RF stream into a demodulated audio signal and transmitting it to the tester and recorder device. The tester and recorder device also receives the demodulated audio signal, determines a spectrum of frequencies over time, inputs the spectrum of frequencies into an artificial intelligence (AI) module of audio abnormality detection. The device also receives the second RF stream, converts it into a data signal, and records the data signal into a temporary storage memory. Then, when the AI module outputs of a positive detection of audio abnormality, the device transfers data from the temporary storage memory into a permanent storage memory, where the transferred data corresponds to a time window including the detected audio abnormality.

The method includes splitting a radio signal received at an in-vehicle antenna into two RF streams, and at the device under test, converting the first RF stream into a demodulated audio signal and transmitting it to the tester and recorder device. The tester and recorder device also receives the demodulated audio signal, determines a spectrum of frequencies over time, inputs the spectrum of frequencies into an artificial intelligence (AI) module of audio abnormality detection. The device also receives the second RF stream, converts it into a data signal, and records the data signal into a temporary storage memory. Then, when the AI module outputs of a positive detection of audio abnormality, the device transfers data from the temporary storage memory into a permanent storage memory, where the transferred data corresponds to a time window including the detected audio abnormality.

Methods and systems for data collection in an environment including pumps and fans are disclosed. A monitoring system may include a data collector communicatively coupled to a plurality of input channels, wherein the input channels are communicatively coupled to sensors measuring operational parameters of a pump or fan. A data storage may store one or more frequencies related to an operation of the pump or fan, and a data acquisition circuit may interpret a plurality of detection values from the collected data. A frequency evaluation circuit may detect a signal on one of the input channels at a frequency higher than the one or more frequencies at which the pump or fan operates.