12003results about "Spatial transmit diversity" patented technology

The present disclosure relates to a communication scheme and system therefor for converging an Internet of things (IoT) technology with a 5th generation (5G) communication system for supporting a higher data rate after a 4th generation (4G) system. The present disclosure is applicable to intelligent services (e.g., smart home, smart building, smart city, smart car or connected car, health care, digital education, retail, security and safety-related services, or the like) based on 5G communication technology and IoT-associated technology. The present disclosure discloses a method of measuring and reporting interference in a wireless communication system.

A method (1300) by a user equipment, UE (402, 502, 602, 800), in a connected state is provided for configuring Layer 1 / Layer 2, L1 / L2, based inter-cell mobility. The method includes transmitting (1302) a Measurement Report comprising one or more measurements associated with one or more cells. The UE receives (1304) a Radio Resource Control, RRC, Reconfiguration message comprising at least one configuration of a L1 / L2 based inter-cell mobility candidate cell. The UE transmits (1306) an RRC Reconfiguration Complete message.

Described herein are systems, methods and instrumentalities associated with a wireless communication network comprising a reconfigurable intelligent surface (RIS). A wireless transmit / receive unit (WTRU) in such a communication network may receive measurement configuration information that may indicate at least a first measurement resource and a second measurement resource. The first measurement resource may be associated with a first transmission path associated with a first subset of elements of the RIS, while the second measurement resource may be associated with a second transmission path independent of the RIS. The WTRU may perform measurements based on the measurement configuration information, and may transmit a report regarding at least one of the measurements to the network.

Methods and apparatuses for power control and beam management to enable coexistence of radar sensing and wireless communication. A method for a UE includes determining a sensing category or characteristics for a sensing application, and selecting a spatial filter for radar sensing transmission or reception based on determined sensing category or characteristics. The method further includes identifying a radar sensing transmission power and transmitting or receiving radar sensing signals using the spatial filter and the identified radar sensing transmission power. The method further includes reporting one of communication blockage, radar sensing beam information, or CSI adapted to the radar sensing beam information to a base station or neighboring UEs.

Methods and apparatus for leveraging transfer learning of one Wireless Transmit / Receive Unit (WTRU) to benefit another WTRU are provided. One method may include the WTRU receiving AI / ML model configuration information indicating one or more AI / ML models available from the network node, a profile associated with the AI / ML models, and a training convergence threshold. Based at least on the profile(s), the WTRU determining that the one or more AI / ML models are not suitable for use by the WTRU, and sending first information indicating that the one or more AI / ML models are not suitable for the WTRU and / or that the WTRU will be training a local AI / ML model. The method may then include training the local AI / ML model according to the convergence threshold, receiving a request to transfer AI / ML model parameters, and sending an indication of the AI / ML model parameters associated with the trained local AI / ML model to the network node.

A reconfigurable intelligent surface (RIS) includes one or more radio frequency identification (RFID) tags. The one or more RFID tags may perform functions of a controller of the RIS. The one or more RFID tags receive a reference signal from a wireless communications device. The RIS may process the received reference signal and the one or more RFID tags backscatter a response signal to the wireless communications device. The wireless communications device may also perform processing of the backscattered response. Processing includes measuring channels from the wireless communication to the RFID tags. Processing also includes estimating channels from the wireless communication to elements of the RIS. Based on the estimated channels, a beam matrix corresponding to optimized weights of the RIS elements is determined and transmitted to the RIS.

The invention relates to a signal detection and accurate positioning method for a lift-off platform unmanned aerial vehicle, and the method comprises the steps: deploying an unmanned aerial vehicle-mounted platform, capturing a global electromagnetic signal in real time, outputting multichannel original signal data, carrying out the time-frequency domain joint analysis, extracting a frequency hopping period, a modulation mode and pseudo-random code features, and recognizing a target unmanned aerial vehicle signal. A control instruction link signal and an image transmission link signal are separated; the arrival time difference and the arrival phase difference of the target unmanned aerial vehicle signal are converted into a dynamic space coordinate system, a three-dimensional positioning equation set is constructed, and real-time space position coordinates of the target unmanned aerial vehicle are obtained through calculation; and extracting transmitting end characteristic parameters of control instruction link signals, constructing a control signal propagation path model in combination with the real-time position of the target unmanned aerial vehicle, and positioning geographic coordinates of an unmanned aerial vehicle control source by reversely tracking a signal transmitting direction and an attenuation law. The terrain shielding influence is effectively avoided, the target identification accuracy and positioning precision are improved, and the unmanned aerial vehicle control source traceability is realized.

Techniques described herein include solutions for configuring and using parallel measurement gaps with the same gap type for both synchronization signal block (SSB) based and channel state information reference signal (CSI-RS) based measurements associated to the same frequency layer. A User Equipment (UE) may indicate its capability to support parallel measurement gaps to a non-terrestrial base station. The capability may be indicated individually for SSB based and CSI-RS based measurements, or in a combined format for both SSB based and CSI-RS based measurements. The UE receives a measurement gap configuration to configure the parallel measurement gaps and performs measurements accordingly. The measurement gaps for SSB based measurements and the measurement gaps for CSI-RS based measurements may be considered as associated to the same or different frequency layers depending on various conditions.

Disclosed are a method and device for transmitting or receiving channel state information in a wireless communication system. A method performed by a terminal in a wireless communication system according to an embodiment disclosed herein may comprise the steps of: receiving one or more channel state information-reference signals (CSI-RSs) from a network; calculating one channel quality indicator (CQI) on the basis of a specific precoding matrix indicator (PMI) that is one of a plurality of PMIs respectively corresponding to a plurality of time units; and transmitting a CSI report, including the one CQI and codebook information corresponding to the plurality of PMIs, to the network, wherein the one CQI may be associated with the specific PMI and a specific time unit that is one of the plurality of time units.

The present disclosure describes mechanisms to configure user equipment (UEs) with a set of channel state information (CSI) and / or measurement configurations, and mechanisms to indicate codepoints that activate or trigger selected ones of the configured CSI / measurement configures that individual UEs are to use to report CSI and / or other measurements. The set of configurations can indicate how individual UEs are to compute CSI and / or measurement feedback reports. The set of configurations can include information about which subset of antenna ports from a set of antenna port configurations, and potential transmission power offsets between CSI reference signal (CSI-RS) and physical downlink shared channel (PDSCH). The signaling mechanisms can include radio resource control (RRC) for the CSI / measurement configurations and / or downlink control information (DCI) signaling for activation / triggering of the selected CSI / measurement configurations. The activation / triggering signaling can include a limited number of bits to indicate the codepoints.

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 invention discloses a dynamic beam adaptive optimization method for the Internet of Vehicles, and the method comprises the steps: firstly obtaining the current position, speed and driving direction of a vehicle, and carrying out the prediction of a future trajectory through combining historical trajectory information and employing a Kalman filtering technology and the like; and selecting a candidate beam direction from the predefined beam codebook. The system receives channel quality feedback information of a communication link in real time, and dynamically updates a beam forming weight based on an improved recursive least square algorithm. According to the algorithm, a composite adaptive adjustment mechanism of an error size and an error change trend is introduced, a multi-objective optimization function is constructed, and performance indexes such as link quality maximization, interference power minimization and beam switching frequency minimization are effectively balanced in a dynamic environment, so that an optimal beam direction is obtained. Finally, the real-time switching of the antenna array beams is realized through a low-overhead and low-delay control protocol. According to the method, track perception and a self-adaptive feedback mechanism are fused, and good real-time performance, stability and expandability are achieved.

The invention provides an OTFS radar communication integrated signal processing method and system based on time-frequency-space domain joint optimization. According to the method, pilot symbol positions and densities are configured in an OTFS time-frequency grid according to channel time-varying characteristics and bandwidths, and a Doppler index range is set to optimize channel information acquisition; deploying a controllable reflecting surface, constructing a phase modulation matrix based on a target position and communication channel parameters, dynamically adjusting a phase gradient direction, and separating energy of a target echo and a communication signal; within a set Doppler index range, calculating frequency offset estimation, correcting a time domain sampling point of a received signal, and generating a phase correction vector; and positioning a spatial aliasing main interference area, and inhibiting symbol interference and spatial aliasing caused by a high-speed target through frequency domain beam forming weighting and phase rotation compensation in combination with a phase correction vector and a sub-Doppler parameter in the area. According to the invention, time-frequency-space domain cooperative efficient processing of OTFS radar communication integrated signals is realized.

A terminal according to an aspect of the present disclosure includes a receiving section that receives information related to first random access procedure including a repetition of a message 1, and a control section that, based on the information, uses, for the first random access procedure, a first random access resource and uses, for second random access procedure not including the repetition of the message 1, a second random access resource different from the first random access resource. According to an aspect of the present disclosure, it is possible to enhance coverage in random access procedure.

A method performed by a wireless transmit / receive unit (WTRU) may compromise: transmitting, to a base station, Rx beam capability information; determining a Rx beam ID for each of one or more Rx beams of the WTRU; receiving, from the base station, information indicating a first reference signal (RS) resource set and a second RS resource set; determining an association between the first RS resource set and second RS resource set and one or more Tx beam IDs; determining a preferred beam pair, including a preferred Rx beam and preferred Tx beam; and transmitting, to the base station, information indicating a beam pair ID of the preferred beam pair.

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 β and an elevation angle α 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 β and the elevation angles α 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 WTRU may be configured to receive first configuration information associated with a channel state information reference signal (CSI-RS) resource set, a set of transmission configuration index (TCI) states, a set of probability thresholds, and / or a set of time durations. The WTRU may be configured to estimate a line of sight (LOS) probability of the WTRU based on one or more CSI-RS measurements. The WTRU may be configured to determine whether the estimated LOS probability is greater than or equal to a probability threshold from the set of probability thresholds. In response to determining that the estimated LOS probability is greater than or equal to the probability threshold, the WTRU may be configured to determine a time duration from the set of time durations based on the estimated LOS probability. The WTRU may be configured to predict a future TCI state applicable to an associated time instance.

Embodiments include methods for a user equipment (UE) configured to communicate with a radio access network (RAN) node comprising a central unit (CU) and a distributed unit (DU) via a serving cell. Such methods include receiving, from the CU via the DU, an RRCReconfiguration message that includes channel state information (CSI) resource configurations associated with at least one candidate cell for L1 / L2-based inter-cell mobility. The at least one candidate cell is provided by one or more neighbor DUs. Such methods include performing CSI measurements on the at least one candidate cell according to the respective CSI resource configurations and sending, to the DU via the serving cell, one or more CSI reports based on the CSI measurements performed. Other embodiments include complementary methods for a CU, a first DU, and a second DU, as well as UEs, CUs, and DUs configured to perform such methods.

Aspects of the subject disclosure may include, for example, receiving, via an antenna, a communication signal generated by a communication device, and detecting interference in the communication signal, wherein the interference is generated by one or more interference sources, wherein the interference is detected by monitoring a near field region of the antenna, an intermediate field region of the antenna, a far field region of the antenna, or any combinations thereof, wherein the monitoring excludes monitoring only the far field region of the antenna. Other embodiments are disclosed.

A terminal according to one aspect of the present disclosure includes: a receiving section that receives, when the terminal includes eight antenna ports, downlink control information (DCI) including a plurality of fields of at least one of a precoding information and number of layers field and a transmission precoding matrix indicator (TPMI) field for codebook-based physical uplink shared channel (PUSCH) transmission; and a control section that controls uplink transmission, based on the DCI. According to one aspect of the present disclosure, UL transmission using more than four antenna ports can be appropriately controlled.

Provided are a method and apparatus for monitoring CSI prediction performance, a terminal, and a network-side device, which pertain to the field of communication technologies. The method for monitoring CSI prediction performance in embodiments of this application includes: acquiring, by a terminal based on monitoring configuration information, first channel information corresponding to CSI prediction channel information; where the first channel information is used for determining the CSI prediction performance of an AI model; and the monitoring configuration information includes at least one of the following: information about at least one AI model identifier, the AI model identifier being used to indicate the AI model; monitoring window-related information, used to indicate a monitoring window for monitoring AI-based CSI prediction performance; monitoring trigger-related information, used to indicate a condition for triggering AI-based CSI prediction performance monitoring; and monitoring CSI-RS configuration information, used for measuring CSI-RS configuration information of the first channel information.

A wireless transmit / receive unit (WTRU) may receive a radio resource control (RRC) message comprising configuration information. The configuration information may include one or more preconfigured candidate cell configurations. Each of the preconfigured candidate cell configurations may include a special cell (SpCell) configuration, a secondary cell (SCell) configurations, and / or a candidate cell index. The WTRU may receive a medium access control (MAC) control element (CE). The MAC CE may indicate to apply a first preconfigured candidate cell configuration of the one or more preconfigured candidate cell configurations and an activation state for each SCell in the first preconfigured candidate cell configuration. The WTRU may initiate a handover to a SpCell in the first preconfigured candidate cell configuration based on the indication in the MAC CE. The WTRU may transmit data to the SCells activated by the MAC CE.

The invention discloses an array antenna phase-only real-time beam scanning and side lobe control method based on machine learning. Firstly, array geometry, scanning angles and minor lobe indexes are set; and then, array element excitation phases meeting requirements are rapidly synthesized by using a phase-only fast Fourier FFT (Fast Fourier Transform) algorithm. Constructing a training data set by taking the scanning angle and the minor lobe index as input and the corresponding phase distribution as output; training a neural network by using the data set to obtain a real-time prediction model from initial excitation distribution to accurate excitation distribution; and according to a target expected directional diagram scanning angle and a sidelobe feature, inputting the scanning angle and the sidelobe feature into a neural network to predict and obtain an array element excitation phase so as to realize a real-time phase-only beam and sidelobe control function. Input dimensions are reduced by extracting key features of a directional diagram, data generation is accelerated by means of FFT, real-time performance and precision are both considered, and the method is suitable for fast beam scheduling tasks of various array antennas.

The invention provides a dual-unmanned aerial vehicle cooperative obstacle avoidance and communication link reconstruction system and method, and belongs to the technical field of wireless communication and unmanned aerial vehicle cooperative control. The system is composed of two unmanned aerial vehicles, serves as a mobile base station to provide relay communication for users, and cooperatively perceives an aerial target. The method comprises the following steps: establishing an integrated model integrating tracks, NOMA signals and layered continuous interference cancellation; calculating communication and sensing key indexes; constructing an optimization problem which takes maximization of the minimum average interaction rate between the unmanned aerial vehicles as a target and takes power, QoS, perception and security constraints into consideration; a distributed architecture is adopted to decompose problems, and a Dual-TD3 algorithm is proposed to collaboratively optimize beam forming and a flight path. According to the dual-unmanned aerial vehicle cooperative obstacle avoidance and communication link reconstruction system and method, dynamic intelligent distribution of communication and sensing resources is realized, and the interaction rate, the robustness and the resource utilization rate of the system in a dynamic scene are remarkably improved.

Mechanisms for adjusting atoms of an Intelligent Reflective Surface (IRS) are provided. A method is performed by a controller configured to control an IRS comprising an array of atoms, each having an individually adjustable phase shift and gain. At least some of the atoms are provided with a measurement sensor. The method comprises obtaining, from the measurement sensors, measurements of received power of a signal transmitted from a user equipment and received by the atoms and determining, by a gradient in received power between two of the measurement sensors is larger than a threshold value, that the user equipment is in near-field of the IRS. The method comprises, as a result thereof, adjusting the phase shift of a first subset of the atoms for reflection at the IRS of subsequent communication between a network node and the user equipment when the user equipment is in the near-field of the IRS.

A wireless transmit / receive unit (WTRU) may perform channel state information (CSI) measurement(s) on a first set of reference signals (RSs) associated with a first set of transmission configuration indicator (TCI) states. The WTRU may determine CSI parameter(s) for a second set of RSs based on the CSI measurement(s) performed on the first set of RSs. The WTRU may receive a first indication to activate or deactivate a first TCI state in the first set of TCI states. The WTRU may activate or deactivate a second TCI state of the second set of TCI states based on the first indication to activate or deactivate the first TCI state of the first set of TCI states and / or the determined CSI parameter(s) for the second set of RSs. The WTRU may send a second indication that the second TCI state in the second set of TCI states has been activated or deactivated.

The present disclosure relates to a communication scheme and a system for combining an IoT technology with a 5G communication system for supporting a higher data transfer rate than a 4G system. The present disclosure may be applied to intelligent services (e.g., smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail business, and security- and safety-related services) on the basis of a 5G communication technology and an IoT-related technology. The present disclosure proposes a method and an apparatus for beam failure recovery. An embodiment of the present disclosure provides a method of a terminal in a wireless communication system. The method of the terminal comprises the steps of: obtaining information on at least one reference signal for beam failure detection; identifying whether a beam failure is detected for each of a first reference signal set and a second reference signal set included in the at least one reference signal; and if a beam failure is detected for at least one of the first reference signal set and the second reference signal set, performing a beam failure recovery procedure for the reference signal set in which the beam failure is detected, wherein the first reference signal set is related to a first control resource set (CORESET) pool, and the second reference signal set is related to a second CORESET pool.

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

Various aspects of the present disclosure relate to methods, apparatuses, and systems that support configuration for radio sensing. For instance, implementations provide for configuration of sensing-related nodes with knowledge of background environments related to specific radio sensing scenarios to assist in sensing receiver processing. Further, knowledge of features of a background environment can be used as assistance information for extracting sensing information for target objects, such as based on information pertaining to signal interactions between a background environment and target objects.