3012 results about "Channel state information" patented technology

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.

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.

An embodiment of aspect 1 provides an user device, UE, for a wireless communication system, wherein the UE or a its transceiver is configured toreceive from a network node, e.g., gNB, at leasta channel state information, CSI, report configuration via a higher layer, e.g., radio resource control, RRC, layer,a configuration or indication via a PHY-layer, e.g., physical downlink control channel, PDCCH, signalling, and / or a higher layer signalling,perform measurement(s) on said at least one CSI-RS resource,compute one or more parameters related to a channel state information, CSI, and / or DL transmission rate and / or reliability associated with at least one of the P subsets of a CSI-RS resource, andtransmit a report to the network node via the PHY-layer or a higher layer.

A method can include receiving, by a wireless device, configuration parameters, of an early channel state information (CSI) reporting procedure associated with a layer 1 / 2 triggered mobility (LTM) procedure. The configuration parameters can include a first threshold for a candidate cell selection; a second threshold for a serving cell; and a timer for triggering the early CSI reporting procedure. The method can also include triggering the early CSI reporting procedure in response to an expiry of the timer; a first layer 1 reference signal received power (L1-RSRP) value of a candidate cell being higher than the first threshold; and a second L1-RSRP value of the serving cell being lower than the second threshold. The method can additionally include transmitting, based on the triggering, a CSI report indicating the candidate cell for the LTM procedure.

A method performed by a user equipment (UE) in a wireless communication system comprises receiving configuration information related to Channel State Information (CSI), receiving at least one DownLink-Reference Signal (DL RS), computing the CSI based on a measurement for the at least one DL RS, and reporting the CSI. The CSI includes resource indicators related to each group of one or more groups. The resource indicators are related to simultaneous transmission based on spatial filters by the UE.

Apparatuses, methods, and systems are disclosed for channel state information reporting for multiple transmit / receive points. One apparatus includes a transceiver that receives an indication from a mobile wireless communication net-work that channel state information (“CSI”) corresponding to multiple transmit / receives points (“TRPs”) is to be reported and a processor that generates at least one CSI report according to the CSI reporting configuration, the at least one CSI report comprising a CSI-reference signal (“CSI-RS”) resource indicator (“CRI”), wherein the transceiver reports the at least one CSI report comprising the CRI to the mobile wireless communication network.

A method and an apparatus for transmitting and receiving channel state information (CSI) in a wireless communication system are disclosed. A method of performing downlink reception by a user equipment (UE) in a wireless communication system according to an embodiment of the present disclosure may comprise: receiving, from a base station, configuration information for two or more control resource set (CORESET) groups, each of the two or more CORESET groups including at least one CORESET; receiving, from the base station, information indicating two or more transmission configuration indicator (TCI) states; and based on the two or more TCI states, updating TCI state information for the two or more CORESET groups. Here, at least one of the two or more CORESET groups may include a specific CORESET associated with a plurality of TCI states.

The invention discloses a 10kV medium-voltage power distribution network power line carrier communication method and system based on adaptive OFDM (Orthogonal Frequency Division Multiplexing), and the method comprises the steps that a master station sends a detection frame to a slave station, and the slave station carries out the CE (Channel Estimation), and obtains the CSI (Channel State Information); the method comprises the following steps of: dividing a broadband channel into a plurality of parallel orthogonal subcarriers, and dynamically allocating a modulation mode, a modulation order and a forward error correction (FEC) coding rate for each subcarrier of OFDM (Orthogonal Frequency Division Multiplexing) by adopting a water injection algorithm based on channel state information (CSI); adopting two-stage automatic gain control (AGC) to condition a signal received from a power line; and carrying out dynamic frequency hopping between a frequency band with serious interference and an idle frequency band based on a continuous spectrum sensing result. Compared with the prior art, through the multi-dimensional adaptive technology, the communication system can sense the channel state in real time and dynamically adjust the communication strategy, so that a stable communication link is established in a severe power grid environment.

The invention provides a cellular-free mMIMO (multiple input multiple output) system computing power resource allocation and beam forming optimization method and a cellular-free mMIMO system computing power resource allocation and beam forming optimization system, and belongs to the technical field of wireless communication. The method specifically comprises the following steps of: respectively establishing a double-queue model based on a first-in first-out criterion at a central processing unit (CPU) and an access point (APs), taking a dequeue rate at the CPU as an enqueue rate at the AP, constructing a data volume relationship in a queue of a current frame and a previous frame, and analyzing system downlink end-to-end time delay based on an M / D / 1 queuing model. In a first layer queue, a binary search algorithm is provided to design computing power resource allocation at a CPU, and in a second layer queue, a path tracking algorithm is provided to optimize a beam forming vector at an AP. According to the method, the instantaneous channel state information is utilized, the worst user time delay is minimized under an alternating iteration algorithm framework, the calculation complexity is reduced, and meanwhile an effective solution is provided for ultra-low time delay communication.

A wireless transmit / receive unit (WTRU) may receive a downlink (DL) reference signal on a DL channel. The WTRU may measure a Doppler related parameter value based on the DL reference signal. The WTRU may estimate one or more time domain channel properties (TDCPs) of the DL channel associated with one or more delays. The one or more TDCPs may be based on the measured Doppler related parameter value. The WTRU may determine a confidence level for the one or more estimated TDCPs based on one or more of channel conditions, WTRU architecture, receive antenna configuration information, channel state information (CSI) reporting configuration, and / or system configuration. The WTRU may send a report that indicates the one or more estimated TDCPs and the confidence level for the one or more estimated TDCPs.

Provided are a channel state information processing unit CPU occupancy determining method, a terminal and a readable storage medium. The method includes: determining, by a terminal based on at least two first report sub-configurations in a target CSI report configuration, CPU occupancy required for a target CSI report, the target CSI report including: at least two first CSI reports and / or a second CSI report, where each first CSI report is a CSI report performed by the terminal based on one of the first report sub-configurations, and each first CSI report corresponds to one spatial adaptation pattern; the second CSI report is a CSI report performed by the terminal based on the at least two first report sub-configurations, and the second CSI report corresponds to at least two spatial adaptation patterns; and the CPU occupancy includes a time period of the CPU occupancy and / or a quantity of occupied CPUs.

A base station central unit sends, to a base station distributed unit, a UE context setup or modification request message, for a wireless device, comprising an identifier of a candidate cell for LTM of the wireless device. The base station distributed unit receives a UE context setup or modification response message comprising a configuration of the candidate cell, and sends, to the base station distributed unit, a message comprising a parameter indicating whether to activate or deactivate a channel state information reference signal (CSI-RS) resource of the candidate cell for the LTM of the wireless device.

The invention relates to the technical field of rehabilitation training, and particularly provides a knee bending training evaluation method and system based on WiFi signals, and the method comprises the steps: collecting actual channel state information peak values and knee bending action time information corresponding to multiple knee bending actions; for each knee bending action, calculating an actual knee bending angle according to a corresponding actual channel state information peak value, a preset channel state information peak value corresponding to the preset knee bending angle and a preset channel state information initial value, and then calculating an actual knee bending speed according to the actual knee bending angle and knee bending action time information; evaluating knee bending action stability according to all actual knee bending angles; acquiring a knee bending training score according to the knee bending action stability, all the actual knee bending angles and all the actual knee bending speeds; according to the method, non-contact and accurate evaluation of knee bending training without image acquisition can be realized.

Embodiments of the present disclosure relate to channel state information (CSI) framework in a full duplex (FD) system. According to some embodiments of the disclosure, a UE may: determine a first type of CSI reference signal (CSI-RS) and a second type of CSI-RS based on at least one CSI-RS resource setting and a specific configuration; and measure at least one of the first type of CSI-RS or the second type of CSI-RS to derive a channel measurement or interference measurement for a CSI report.

The invention discloses a micro-action three-dimensional sensing method and system based on WiFi channel state information, and relates to the technical field of wireless signal sensing. The method comprises the following steps: collecting CSI data, preprocessing, and outputting a CSI amplitude matrix and a phase matrix; the phase difference of adjacent antenna pairs is used for counteracting common noise, a linear mapping model of displacement increment and phase change is constructed, and displacement calculation is achieved; designing a space-time TransFormer model, fusing CSI amplitude, phase difference, displacement increment and Doppler frequency shift characteristics through a time sequence and space joint attention mechanism, and outputting an initial three-dimensional trajectory; optimizing the initial three-dimensional trajectory by using a self-supervised learning mechanism based on physical consistency constraint; and finally, constructing a dynamic path filter, carrying out real-time filtering correction on the optimized trajectory in combination with extended Kalman filtering and Bayesian multipath fusion, and outputting a final three-dimensional trajectory, thereby realizing high-precision and low-delay trajectory reconstruction without labeling in a complex scene.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive control signaling indicating multiple transmission-reception points (TRPs), and may perform measurements for reference signals received from the multiple TRPs within a set of measurement resources. The UE may transmit a channel state information (CSI) report including a first CSI part and a second CSI part, where at least one of the first CSI part or the second CSI part indicates a first mapping between a first set of TRPs and a first set of spatial multiplexing layers, and a second mapping between a second set of TRPs and a second set of spatial multiplexing layers. The UE may then receive a phase-coherent joint transmission of a downlink message from the first set of TRPs in accordance with the first mapping, or from the second set of TRPs in accordance with the second mapping.

A wireless communication method is disclosed. The method comprises receiving, by a wireless communication terminal from a wireless communication node, at least one channel state information, CSI, report configuration associated with a channel state information reference signal, CSI-RS, resource setting for a channel measurement, wherein the CSI-RS resource setting comprises one or more CSI-RS resources associated with one or more adaptation patterns; and performing, by the wireless communication terminal, a CSI reporting according to the at least one CSI report configuration.

The invention provides a TOF (Time of Flight) estimation method of a matrix bundle based on partitioning and random SVD (Singular Value Decomposition). The method comprises the following steps: firstly, acquiring channel state information (CSI) by using a commercial WiFi device, and constructing a CSI matrix; and secondly, performing block overlapping processing on the CSI matrix, constructing an augmented matrix for each CSI data block, and performing SVD decomposition on the augmented matrix, thereby reducing the calculation complexity of SVD decomposition. And then, the time of flight (TOF) of each CSI data block is estimated by using a matrix pencil algorithm, and the minimum TOF is direct path estimation. According to the method designed by the invention, the robustness of the system and the estimation precision of the TOF are improved under the condition that the algorithm complexity is greatly reduced.

Various aspects of the present disclosure relate to methods, apparatuses, and systems that support performance monitoring of a two-sided model. For instance, implementations provide a two-sided model architecture composed of a user equipment (UE) component and a network entity component. Accordingly, the present disclosure supports performance monitoring of such two-sided models such as to determine whether models are accurately characterizing channel state information (CSI)-related data. For instance, model performance can be monitored at a UE, at a network entity (e.g., gNB), and / or at both a UE and a network entity. When performance of a model is determined to be outside of specified parameters, the model can be updated and / or replaced.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a control signal configuring a low-density pattern for channel state information (CSI) reference signal (RS) reception for a set of multiple antenna ports. The low-density pattern may indicate a subset of the set of multiple antenna ports for the CSI-RS reception via one or more resource blocks (RBs). The UE may receive a set of multiple CSI-RSs that is based on the low-density pattern. In some cases, the UE, or some other training device, may train an artificial neural network to process the CSI-RSs according to the low-density pattern. The artificial neural network may be an example of a generalized neural network or a neural network specific to one or more low-density patterns. The UE may transmit a CSI report based on processing the CSI-RSs according to the low-density pattern.

A wireless device, comprising uplink panels, may receive one or more radio resource control (RRC) messages. The one or more RRC messages may comprise a channel state information (CSI) report configuration indicating a sounding reference signal (SRS) resource. The wireless device may transmit, based on the CSI report configuration, a CSI report indicating an uplink panel, of the uplink panels, associated with the SRS resource. The wireless device may activate the uplink panel in response to transmitting the CSI report. The wireless device may receive an uplink grant scheduling an uplink signal transmission via the uplink panel and based on the SRS resource.

Aspects described herein relate to performing first signal measurements of reference signals (RSs) received over a first set of one or more RS occasions based on a first RS density, performing second signal measurements of RSs received over a second set of RS occasions based on a second RS density, and providing the first signal measurements identified as a first type of signal measurements and the second signal measurements identified as a second type of signal measurements for training a neural network, such as for channel state information reference signal (CSI-RS) transmission or channel estimation.

The invention relates to the technical field of target detection and identification, and discloses a low-altitude target identification system and method combined with multi-band signal processing. Comprising the steps of establishing a cross-frequency implicit vector model and constraining a geometric scale, a scattering center and rotor harmonic waves through synchronous acquisition of an L-band radar, a Ku-band radar and a millimeter-wave radar, and realizing unified characterization of multi-frequency signals; receiving a global satellite navigation system reflection signal, communication channel state information or a very high frequency / ultrahigh frequency passive radar signal to form prior discrimination, and triggering high-frequency radar short-time imaging; carrying out propagation correction on millimeter wave, terahertz and infrared signals in combination with a meteorological profile and generating an environment label; determining a sampling window by using the region of interest and rotor phase prediction, and optimizing a residence strategy; harmonic waves are extracted from radar and acoustic signals, robust pairing is carried out, and a cross-domain consistency score output category is calculated. The method realizes multi-frequency multi-source cooperative processing, has environment self-adaption and closed-loop feedback capabilities, and can improve the precision and stability of low-altitude target identification.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may identify channel information based at least in part on a set of channel state information reference signals (CSI-RSs). The UE may generate compressed channel state information (CSI) using a model, wherein an input of the neural network model is based at least in part on the channel information, and wherein the compressed CSI is compressed in a frequency domain. The UE may transmit the compressed CSI. Numerous other aspects are described.

A system and method for a wireless device to derive a channel state information (CSI) codebook based on a decoder and a vector quantization codebook, receive a reference signal from a base station, derive an estimated channel from the reference signal, select an entry from the CSI codebook based on the estimated channel and a selection criterion, and report an index of the selected entry to the base station. The wireless device may receive a subset indication, derive therefrom a second CSI codebook, and select the CSI codebook entry from the second CSI codebook. A CSI compression machine learning (ML) system and vector quantization codebook may be obtained by a network controller. The decoder may be a part of the CSI compression ML system, the vector quantization codebook may be based on an encoder of the CSI compression ML system, and they may be sent to the wireless device.

Various aspects of the present disclosure relate to a user equipment (UE) that receives a channel state information (CSI) reporting setting. where the CSI reporting setting indicating CSI-reference signal (RS) transmissions over a channel measurement resource (CMR). The CSI-RS transmissions are associated with time units, and the CSI-RS transmissions correspond to two precoder matrix indicator (PMI) segments. The UE maps at least one PMI segment of the two PMI segments to the time units. and transmits a CSI report identifying the two PMI segments mapped to the time units.

The invention discloses an intelligent metasurface-based wave beam forming robust design method for a communication and induction integrated system, and belongs to the technical field of wireless communication. According to the method, aiming at the problems of imperfect channel state information and uncertainty of a target position in a communication and inductance integrated system, a worst-case robust optimization model is established by taking minimization of base station transmitting power as an optimization target. Firstly, an original non-convex problem is equivalently reconstructed by utilizing positive semidefinite programming; secondly, aiming at semi-infinite constraint introduced by uncertainty, solving by adopting a successive convex approximation method; meanwhile, interval uncertainty constraints are efficiently processed in combination with a sampling method; and finally, solving the coupling relationship among the optimization variables through an alternative optimization strategy. Simulation results show that the method can ensure the service quality of the communication and sensing target under multiple uncertainties, significantly improve the robustness of the system in an uncertain environment, and effectively reduce the transmitting power at the same time.

A method can include receiving, by a wireless device via a serving cell, first configuration parameters of a layer 1 / 2 triggered mobility (LTM) procedure and second configuration parameters of a power headroom reporting (PHR) procedure. The method can also include generating a layer 1 (L1) measurement report MAC CE in response to triggering an event-triggered L1 measurement reporting for the LTM procedure. The method can further include a PHR MAC CE in response to triggering the PHR. The method can additionally include determining that the L1 measurement report MAC CE is prioritized over the PHR MAC CE. The method can also include transmitting the L1 measurement report MAC CE based on the determination.

A method performed by a user equipment (UE) for dynamically allocating data transmission resources in a massive multiple input multiple output (MEMO) system is disclosed. The UE receives from a network node at least one initial channel state information reference signal (CSI-RS) resource set comprising at least an initial number of ports. A sounding reference signal (SRS) is transmitted to the network node. The network node transmits to the UE a dynamically allocated number of CSI-RS ports, or alternatively, a trigger state for a predefined CSI-RS resource set and a beamformed CSI-RS. The UE computes one or more parameters corresponding to channel state information (CSI) from the beamformed CSI-RS. A CSI report comprising the one or more parameters is transmitted to the network node. The UE then receives user data over a data traffic channel using the dynamically allocated number of CSI-RS ports, or alternatively the pre-defined CSI-RS resource set.

Apparatuses and methods for channel state information (CSI) and calibration reporting. A method performed by a user equipment (UE) includes receiving information related to first and second CSI reports. The information for the first CSI report indicates NTRP CSI reference signal (CSI-RS) resource sets, NTRP>1, and a report quantity set to ‘cjtc-Dd’. The information for the second CSI report indicates NTRP CSI-RS resources, a report quantity set to ‘cri-RI-PMI-CQI’, and a codebook type set to ‘typeII-CJT-r18’. The first CSI report is linked to the second CSI report via a radio resource control (RRC) parameter. The method further includes determining, based on the information, a CSI for the second CSI report and transmitting the second CSI report including the CSI.