Aspects of the invention are directed towards a system and a method for configuring a communication interval of one or more sensing devices. One or more embodiments of the invention describe a method comprising steps of receiving a signal strength value from one or more sensing devices and determining an apparent distance between a regulating device and each of the one or more sensing devices based on the signal strength value. The method further comprising step dynamically ranking the one or more sensing devices based on the apparent distance and based on the ranking of the one or more sensing devices, configuring a communication interval for each of the one or more sensing devices.

Example embodiments relate to methods for distance determination. One embodiment includes a method for determining a distance between a first radio signal transceiver and a second radio signal transceiver. The method includes receiving a first set and a second set of measurement results. The first set is acquired by the first radio signal transceiver based on signals transmitted from the second radio signal transceiver and the second set is acquired by the second radio signal transceiver based on signals transmitted from the first radio signal transceiver. The first set is representable as including, for each of a plurality of frequencies, a measurement pair. The method also includes calculating, for each frequency of the plurality of frequencies, a preliminary estimate of a value proportional to a one-way frequency domain channel response. Additionally, the method includes determining a final estimate of the value proportional to the one-way frequency domain channel response.

Example embodiments relate to methods for distance determination. One embodiment includes a method for determining a distance between a first radio signal transceiver and a second radio signal transceiver. The method includes receiving a first set and a second set of measurement results. The first set is acquired by the first radio signal transceiver based on signals transmitted from the second radio signal transceiver and the second set is acquired by the second radio signal transceiver based on signals transmitted from the first radio signal transceiver. The first set is representable as including, for each of a plurality of frequencies, a measurement pair. The method also includes calculating, for each frequency of the plurality of frequencies, a preliminary estimate of a value proportional to a one-way frequency domain channel response. Additionally, the method includes determining a final estimate of the value proportional to the one-way frequency domain channel response.

The disclosure provides methods and apparatuses for performing beam alignment. In some embodiments, a method of performing beam alignment by a user equipment (UE) of a wireless network, includes determining, by the UE based on a plurality of parameters associated with the UE, a first quality level of a connection of the UE in a first orientation and at a geographical location. The connection uses a first beam from at least one network entity of the wireless network. The method further includes determining, by the UE based on the first quality level, a second orientation from a plurality of orientations at the geographical location. The second quality level of the second orientation exceeds the first quality level. The method further includes changing, by the UE, an orientation of the UE from the first orientation to the second orientation.

A positioning reference signal measurement reporting method includes: determining, at a UE based on at least one signal received by the UE, an indication of a spatial relationship between the UE and a first candidate anchor device that is configured to transmit a positioning reference signal (PRS) wirelessly; and reporting a measurement of the PRS based on the indication of the spatial relationship between the UE and the first candidate anchor device meeting at least one criterion of anchor device quality.

The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.

A relative positioning method is provided. In one example, the relative positioning method is performed by a base station, and the base station sends measurement configuration information, in which a resource selection scheme for a first terminal to measure a relative position between the first terminal and a second terminal is determined based on the measurement configuration information.

A mobile radio apparatus transmits to a plurality of fixed radio apparatuses, a fingerprint that indicates a reception strength distribution of radio signals from the plurality of fixed radio apparatuses. Each of the plurality of fixed radio apparatuses in which a learning model is installed inputs the fingerprint to the learning model and transmits a degree of proximity of the mobile radio apparatus output from the learning model to another one or more of the plurality of fixed radio apparatuses, and determines a position of the mobile radio apparatus, based on a first degree of proximity output from the learning model and a second degree of proximity received from the other one or more of the plurality of fixed radio apparatuses.

A mobile radio apparatus transmits to a plurality of fixed radio apparatuses, a fingerprint that indicates a reception strength distribution of radio signals from the plurality of fixed radio apparatuses. Each of the plurality of fixed radio apparatuses in which a learning model is installed inputs the fingerprint to the learning model and transmits a degree of proximity of the mobile radio apparatus output from the learning model to another one or more of the plurality of fixed radio apparatuses, and determines a position of the mobile radio apparatus, based on a first degree of proximity output from the learning model and a second degree of proximity received from the other one or more of the plurality of fixed radio apparatuses.

Devices and methods enable optimizing a signal of interest based on identifying and analyzing the signal of interest based on radio frequency energy measurements. Signal data is compared with stored data to identify the signal of interest. Signal degradation data is calculated based on noise figure parameters, hardware parameters and environment parameters. The signal of interest is optimized based on the signal degradation data. Terrain data is also operable to be used for optimizing the signal of interest.