15175results about "Spatial transmit diversity" patented technology

According to some embodiments, a method is performed by a wireless device for fallback operation of a machine learning (ML) model. The method comprises: transmitting a message indicating a capability of the wireless device for supporting a combination of at least one ML-based feature for a functionality and at least one fallback feature for the functionality to a network node; operating the at least one ML-based feature for the functionality; and operating the at least one fallback feature for the functionality.

A base station may enable a power saving operation for a wireless device. The power saving operation may comprise a base station periodically operating a discontinuous transmission (DTX) mode, wherein at least one cell is in a power-on state for a first duration and in a power-off state for a second duration. Instead of following the same on / off durations of the at least one cell, the wireless device may operate a wireless device-specific discontinuous reception (DRX) mode, wherein the DRX on / off states may be implemented based on one or more messages indicating cell DTX configurations.

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.

The invention discloses an Internet of Things data transmission optimization system based on intelligent routing, and relates to the technical field of data transmission optimization. The heterogeneous network access module supports adaptive switching of multiple protocols such as 5G, NB-IoT and LoRa, and monitors link quality; intelligent routing decision selects an optimal path by means of deep reinforcement learning, and end-to-end delay is reduced; data distribution scheduling split data streams are transmitted in a multi-path parallel mode, and forward error correction is combined to guarantee reliability. The network state prediction uses an LSTM to predict bandwidth, and a route is adjusted in advance; the secure transmission integrates iris authentication and dynamic encryption. According to the invention, efficient, reliable and secure transmission is cooperatively realized, energy collection and dormancy strategies are combined, the equipment endurance is greatly prolonged, the network energy consumption is reduced, and the method is suitable for industrial control, telemedicine and other scenes with high requirements on real-time performance and reliability.

Disclosed are techniques for wireless communication. In an aspect, a reconfigurable intelligent surface (RIS) transmits a sounding reference signal (SRS) transmission request message to a base station serving a user equipment (UE), the SRS transmission request message including one or more SRS transmission properties to be used by the base station to configure the UE to transmit SRS, receives a response message from the base station, the response message indicating one or more SRS configurations the UE is configured to use to transmit SRS, the one or more SRS configurations based on the one or more SRS transmission properties, and measures a plurality of SRS transmissions from the UE with a plurality of receive beams to determine a best receive beam for receiving uplink transmissions from the UE, wherein the plurality of SRS transmissions is based on at least one SRS configuration of the one or more SRS configurations.

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.

The present application relates to devices and components including apparatus, systems, and methods to perform beam measurements and beam reporting. In an example, a beam measurement may exist and can be used to generate a predicted dwelling time of a UE in a beam of a base station. The dwelling time represents a time duration during which the beam is expected to have the best beam quality for the UE among the beams of the base station. Given the predicted dwelling time, the base station can send a reference signal to the UE, or the UE can perform a measurement on the reference signal and / or send information about this measurement to the base station. This information can be sent as a beam report.

A user equipment (UE) configured to receive channel state information (CSI) configuration information for reporting type II codebook based CSI feedback, receive CSI measurement resources and transmit the type II codebook CSI feedback to a base station. Also, a base station configured to transmit channel state information (CSI) configuration information to a user equipment (UE) for the UE to report type II codebook based CSI feedback and receive the type II codebook CSI feedback from the UE.

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 discloses a wireless communication anti-interference method and system based on data analysis, and belongs to the technical field of communication anti-interference, in the wireless communication anti-interference method and system based on data analysis, the active defense capability of the system to unknown interference is improved through virtual interference generation and physical suppression by linkage cooperation of a generative adversarial network and an adaptive beam forming algorithm. The generator continuously simulates a novel interference signal injection training environment, so that a beam forming algorithm learns in advance to form accurate null in an interference direction, and the response time when actual interference occurs is greatly shortened. Meanwhile, interference space features detected by the beam forming module in an actual scene reversely optimize a signal construction rule of the generator, and the matching degree of a generated sample and a real electromagnetic environment is enhanced. The dynamic mutual promotion mechanism not only enhances the timeliness of interference suppression, but also reduces the problems of signal quality fluctuation and excessive consumption of hardware resources caused by passive response in the traditional scheme.

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.

Aspects of the subject disclosure may include, for example, identifying one or more radiating elements of an antenna system that are to be adjusted based on interference determined to affect an operation of the antenna system, and altering one or more properties of the one or more radiating elements to effect polarization adjusting such that an impact of the interference on the antenna system is minimized. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, obtaining data regarding interference detected in a received communication signal, and performing phase adjusting for one or more radiating elements of an antenna system such that an impact of the interference on the antenna system is minimized. Other embodiments are disclosed.

Embodiments of the present disclosure relate to methods, devices and computer readable media for communication. A terminal device determines CSI based on a measurement on a set of RSs from a network device, and determines a compression method based on a configuration from the network device. The terminal device compresses the CSI based on the compression method, and transmits, to the network device, the compressed CSI. The network device determines the compression method applied for the compressed CSI based on the configuration, and recoveries CSI based on the compressed CSI and the compression method. In this way, CSI feedback overhead and compression performance may be balanced.

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.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products directed to reduction of signaling overhead in connection with processing of reference signals. In an embodiment, an apparatus may be configured to receive, from a network node, configuration information comprising channel state information (CSI) spatial prediction parameters; receive a first plurality of reference signals transmitted from a plurality of antenna ports of the network node; estimate, based on the plurality of the received reference signals, first CSI measurements; and determine, based on the first CSI measurements and the CSI spatial prediction parameters, a first subset of antenna ports among the plurality of antenna ports of the network node and one or more parameters associated with the first subset of antenna ports, wherein the first subset is less than the plurality of antenna ports.

The invention provides an optical-electric hybrid ultra-low time delay communication method and system, and relates to the technical field of communication, and the method comprises the steps: outputting a global synchronous clock signal with clock jitter less than 1ppm, dynamically dividing micro time slot resources in an orthogonal frequency division multiplexing symbol period, and generating a dynamically adjusted micro time slot resource distribution result; calculating an optimal phase offset matrix of the metasurface intelligent reflecting surface through a depth deterministic strategy gradient algorithm to obtain an optimized electromagnetic wave propagation path; generating a global optimization check matrix by aggregating the locally trained lightweight error correction model gradient of each node to obtain a compensated data stream; and constructing a causal graph model dynamic pruning high-entropy path to minimize causal entropy, through multi-agent reinforcement learning, taking time delay-energy efficiency as a game target to decide an optimal modulation order and a subcarrier switching strategy, and obtaining an optimized stable communication link. According to the invention, high-reliability and low-delay communication basic support is provided for high-precision intelligent manufacturing.

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.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a reference signal from a network node. The reference signal may be associated with a beam, of a set of beams. Each beam of the set of beams may be associated with a respective beam index. The UE may determine a probability associated with an adjustment of the beam. The probability may indicate whether the beam will change over a duration from a first beam associated with a first beam index to a second beam associated with a second beam index based on the reference signal. The UE may transmit an indication of the probability associated with the adjustment of the beam to the network node.

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.

Aspects of the subject disclosure may include, for example, detecting received signals (in an antenna integrated radio (AIR)) associated with multiple beams in a communications system, and performing action(s), such as polarization adjusting and / or signal conditioning, resulting in improved signal to noise ratio and mitigation / cancellation of interference impacting the beams. Other embodiments are disclosed.

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.