It discloses a communication and radar target detection method based on an intelligent omni-surface, comprising step 1: constructing an optimization problem by maximizing a minimum beampattern gain as an objective function, the communication system being an integrated sensing and communication system based on an intelligent omni-surface; step 2: setting a constraint condition for the optimization problem constructed in the step 1, the constraint condition comprising a minimum rate constraint of a user, a maximum transmit power constraint of a base station, and amplitude and phase shaft constraints of the intelligent omni-surface; and step 3: solving the optimization problem after setting with the constraint condition to obtain an optimization solution for maximizing the minimum beampattern gain. According to the method, a capability of detecting the radar target is further improved under the condition that a quality of service of a communication user is guaranteed.

The present disclosure relates to estimating a channel in a wireless communication system, and a method for operating a user equipment (UE) may a method for operating a user equipment (UE) in a wireless communication system may include receiving configuration information related to channel measurement from a base station, receiving reference signals for the channel measurement, generating channel information by using the reference signals, and transmitting the channel information to the base station. The reference signals may be transmitted from the base station, reflected in portion of reflecting surfaces included in a reflecting intelligent surface (RIS), and then received by the UE, and the configuration information may include information indicating a number or location of at least one off-reflecting surface among the reflecting surfaces.

A method for configuring distributed RIS modules in a network includes performing, by a first RIS module already deployed in the network and provided with a given phase shift configuration, a discovery process for discovering at least one second RIS module, which is a nearby RIS module that is newly deployed and not yet included in the network. The discovery process is executed using short-range communication modules implemented on the first and the at least one second RIS modules. The first RIS module determines a relative position difference to the second RIS module based on information derived from communication with the second RIS module via the short-range communication modules. The first RIS module calculates a phase shift configuration for the second RIS module according to a selected objective function based on the given phase shift configuration and based on the determined relative position difference.

A method for target position estimation based on a distributed reconfigurable intelligent surface (RIS) transmissive array is provide, including: configuring distributed RISs as an RIS transmissive array, wherein the distributed RISs include two RIS transmissive array surfaces, a target source and receiving radio frequency (RF) chains are respectively disposed on two sides of the RIS transmissive array, the receiving RF chains are connected to receiving antennas, and the target source emits a pilot signal into space; transmitting the pilot signal through the RIS transmissive array to the receiving RF chains to obtain a received signal; determining an azimuth angle and an elevation angle of the target source relative to each of the two RIS transmissive array surfaces by processing the received signal; and constructing two rays respectively passing through centers of the two RIS transmissive array surfaces based on the azimuth angles and the elevation angles of the target source relative to the two RIS transmissive array surfaces, determining a median of a shortest distance between the two rays, and determining a position of the median as a position of the target source.

A establishing method of a reconfigurable intelligent surface radio frequency model includes calculating a first power ratio between a first receiving antenna and a first transmitting antenna according to a first wireless transmission equation; calculating a second power ratio between a second receiving antenna and a second transmitting antenna according to a second wireless transmission equation, wherein a reconfigurable intelligent surface is disposed between the second transmitting antenna and the second receiving antenna, and separated from the second transmitting antenna by a reference distance; calculating the first power ratio, the second power ratio and a path loss corresponding to the reference distance to obtain a relay gain of the reconfigurable intelligent surface; and establishing the reconfigurable intelligent surface radio frequency model based on a loss correction value and the relay gain.

A signal reporting method includes: transmitting, from a first wireless signaling device at a first time, a first PRS (positioning reference signal) to a second wireless signaling device via a first RIS (reconfigurable intelligent surface); receiving, at the first wireless signaling device at a second time, a second PRS from the second wireless signaling device via a second RIS that is physically separate from the first RIS; and providing a signal report including at least one time value corresponding to the first time and the second time, and indicative of the first PRS and the second PRS.

The techniques described herein can include solutions for selection of reconfigurable intelligent surfaces (RISs). RIS selection can be performed by a base station and/or a user equipment (UE). RIS selection can be directed to reducing signal degradation, addressing dynamic signal blocking, reducing outage probabilities, interference, and more. RIS selection can include selection of signaling resources, such as channels, bands, and sub-bands.

The techniques described herein can include solutions for selection of reconfigurable intelligent surfaces (RISs). RIS selection can be performed by a base station and/or a user equipment (UE). RIS selection can be directed to reducing signal degradation, addressing dynamic signal blocking, reducing outage probabilities, interference, and more. RIS selection can include selection of signaling resources, such as channels, bands, and sub-bands.

A system includes a positioner unit configured to hold a passive RF structure in an adaptable position. The system also includes an instrument configured to generate a stimulus RF signal and an RF antenna being connected to the instrument. The RF antenna is configured to transmit the stimulus RF signal to the passive RF structure in a first polarization and/or in a second polarization and to receive a reflected signal from the passive RF structure in the first polarization and/or in the second polarization. The instrument further is configured to obtain measurement data based on the stimulus RF signal and the reflected signal. An analysis circuit determines a corrected equivalent source of the passive RF structure based on a distance between the RF antenna and the passive RF structure and based on the measurement data, wherein the corrected equivalent source is corrected for an influence of the RF antenna.

Various aspects of the present disclosure relate to performing radio sensing operations using a reconfigurable intelligent surface (RIS). For example, a sensing controller device, which can be part of a network device (e.g., a network entity or UE) sends encoding information associated with sensing signals transmitted to a target area by a transmitting node. A controller associated with the RIS (e.g., a RIS controller) receives the encoding information and modifies or adjusts reflection characteristics for waves or signals incident on the RIS and reflected by the RIS to one or more sensing nodes. Thus, the RIS controller receives the encoding information for waves or signals that reflect off objects within the target area to the RIS, and utilizes the encoding information (e.g., incident angle or time information) to adjust the reflection characteristics and provide the information to the sensing node, which performs measurements based on the sensing signals.