567 results about "Path loss" patented technology

The invention discloses an archive digitization full-life-cycle encryption integrity verification method and system, relates to the field of digital archive safety management, and is used for solving the problem of integrity and safety guarantee in archive digitization management. Logic units are divided through a semantic analysis engine, non-uniform blocks are generated based on sensitivity dynamic partitioning, local hash values are calculated, and a multi-level verification tree is constructed to generate root hash and a hash path mapping table; acquiring visitor identities, terminal environments and timestamps in each stage of an archive life cycle, generating state snapshots in combination with a hash path, and constructing a life cycle state snapshot chain; reconstructing a target logic unit verification path according to the access request, analyzing the structural difference between a current path and a historical snapshot chain through a path reconstruction type difference verification algorithm, and identifying structural offset, node tampering or path loss; and response control is triggered for abnormal verification, including session key updating and permission freezing, so that the security integrity guarantee of the digital archive in the full life cycle is improved.

The invention relates to the technical field of signal reconstruction, in particular to a complex electromagnetic environment-oriented millimeter wave signal blind source separation and reconstruction system, which comprises a frequency spectrum trend division module, a path fading construction module, an initial cluster label generation module, a multi-solution path screening module and a fusion reconstruction execution module. According to the method, power spectral density sequence processing is carried out on millimeter wave frequency domain data, a multi-dimensional feature group is formed according to a path loss factor, an angle of arrival and the like, and an initial feature cluster is screened through an Euclidean distance, so that the accuracy of signal source classification is effectively improved; after the frequency domain response and the phase contour are continuously subjected to point comparison, path screening is completed by integrating a mean square error residual value, the path misjudgment probability is reduced, time domain resampling and phase frequency offset standardization are executed in fusion reconstruction, the consistency and fidelity of signal reconstruction are enhanced, and the reconstruction precision is improved. The whole process improves the separation accuracy and reconstruction precision of mixed signals in a complex electromagnetic environment.

The invention discloses a power distribution method under cooperative tracking of a networking joint radar communication system, and the method comprises the steps: building a target state according to the position of a radar at each moment and a state vector of a target at each moment; establishing a measurement equation according to the measurement information of the target measured by the radar; establishing a communication model according to the distance between the radar and the fusion center and the reference path loss; a posterior Cramer-Rao lower bound of each target is constructed; constructing a power distribution model according to the posterior Cramer-Rao lower bound and the communication model; and solving the power distribution model by using convex optimization to obtain a power distribution result of the networking joint radar communication system. According to the method, radar tracking transmitting power distribution and communication power distribution are optimized, the posterior Cramer-Rao lower bound of target tracking is minimized on the premise that the lowest rate requirement of a communication system is met, the optimal balance of perception-communication efficiency is achieved, and the communication efficiency is improved. And the tracking capability of the networking joint radar communication system on the target is improved while the power waste is reduced.

The invention discloses a spatial reticulated shell structure shape optimization method based on a genetic algorithm, and relates to the technical field of data processing, and the method comprises the steps: generating a structural force path topological knowledge graph based on node stress feature data, so as to extract feature vectors representing the integrity and coherence of a main bearing path of a structure; determining a key node disturbance sequence by taking the feature vector as input and the integrity and coherence of a main bearing path of the structure as a reward function, carrying out genetic algorithm coding on node coordinates, and obtaining an optimized position of a structure node through population iteration and fitness evaluation; a non-functional force path loss area in the structure is identified, the digital twin model is fed back and updated until the integrity and coherence of the main bearing path of the structure meet an optimization threshold value, and an optimized reticulated shell structure geometric shape is output; according to the method, accurate identification and disturbance optimization of the key nodes of the spatial reticulated shell structure are realized, so that the integrity and coherence of the main bearing path of the structure are remarkably improved.

A wireless device may receive one or more radio resource control (RRC) messages comprising one or more configuration parameters. The one or more configuration parameters may comprise (i) a sounding reference signal (SRS) resource indicator (SRI), for a configured uplink grant, indicating an SRI-physical uplink shared channel (PUSCH) power control parameter set and (ii) a pathloss reference signal update parameter enabling an activation command to update pathloss reference signals of an uplink channel. In response to the one or more configuration parameters comprising the pathloss reference signal update parameter, the wireless device may determine a transmission power for a transport block of the configured uplink grant based on a pathloss reference signal mapped to the SRI-PUSCH power control parameter set. The wireless device may transmit the transport block with the transmission power.

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.

The invention belongs to the technical field of indoor positioning, and discloses a Bluetooth path loss model parameter adaptive calibration method and system. According to the method, the historical learning mechanism and the hybrid optimization strategy are fused, so that the global search capability and the local optimization precision are considered while the dynamic updating of the path loss model parameters is realized. Compared with an existing calibration method of a fixed parameter or a single optimization algorithm, the method can automatically correct the model parameters according to the environment change, and solves the problem that the precision of a traditional model is reduced under the conditions of multipath effect, shielding interference and environment sudden change. A hybrid optimization framework of a genetic algorithm and a particle swarm algorithm is introduced, so that a parameter optimization process obtains a high-quality initial value in a global search stage, rapid convergence is realized in a local fine adjustment stage, and the calibration efficiency and precision are remarkably improved. And meanwhile, a historical learning mechanism is added, so that the model has a time memory characteristic, smooth mutation of historical parameter information can be fused, and the stability and robustness of the method in a complex dynamic environment are improved.

Disclosed are a method and a device for uplink transmission and reception in a wireless communication system. A method performed by a wireless communication system according to an embodiment of the present disclosure may comprise the steps of: receiving, from a base station, first configuration information related to physical random-access channel (PRACH) preamble repeated transmission; and performing first PRACH preamble repeated transmission in first multiple random-access channel occasions (ROs) one basis of the first configuration information, wherein a power of the first PRACH preamble repeated transmission performed across the first multiple ROs is based on a first reference signal (RS) for acquiring of a path-loss value, and transmission power ramping is not be applied within the first multiple ROs.

The invention discloses a multi-terrain adaptive wireless communication path loss prediction method and equipment, and relates to the technical field of wireless communication. The objective of the invention is to solve the problems of discontinuous prediction and precision reduction in a terrain transition region when a separated model is adopted to predict cross-terrain path loss in related technologies. The method comprises the steps of firstly obtaining terrain environment information and communication parameters; a numerical parameter terrain factor for uniformly quantifying different terrain types is introduced, and the features of a transition region can be quantified by performing numerical interpolation on the terrain factors of adjacent terrains; then, decomposing the total path loss into free space propagation loss, terrain correction loss and atmosphere correction loss; and finally, superposing the three types of loss to obtain a path loss predicted value. According to the method, the unified terrain quantification framework and the loss calculation model are constructed, so that continuous and accurate path loss prediction in a complex multi-terrain environment is realized, and the universality and the reliability of prediction are improved.

Disclosed are techniques for a UE to use a pathloss offset between the DL pathloss RS from a macro BS / TRP and the actual pathloss for UL transmission to a micro UL-only BS / TRP when reporting power headroom or performing a random access procedure. The UE may receive from a first base station a configuration for one or more pathloss offsets associated with respective one or more TCI states. The UE may determine a pathloss variation toward a second base station between a first pathloss measured at a current time and a second pathloss measured at a previous time based on the one or more pathloss offsets associated with the respective one or more TCI states. The UE may determine that the pathloss variation satisfies a triggering condition for a power headroom report (PHR) for an uplink transmission associated with the TCI states. The UE may trigger a transmission of the PHR.

The invention discloses a high-permeability new energy power distribution network collaborative optimization method, system and device and a storage medium, and belongs to the technical field of information, and the method comprises the steps: obtaining wind power plant operation data and signal intensity, processing and fitting a signal attenuation trend, recognizing mist environment path loss, obtaining a wind power output probability distribution function, and determining an output fluctuation range. Predicting an output deviation scene, calculating a wireless signal fluctuation probability, and extracting signal fluctuation characteristics; establishing a channel fading model in combination with mist path loss, outputting wireless signal propagation delay, and determining a potential delay interval of a scheduling instruction of the energy storage system; simulating dispatch out-of-order and power regulation instruction conflicts, and generating dispatch out-of-order evaluation data; combining historical wind power output data to judge power flow fluctuation, adjust an energy storage unit response sequence, generate a power adjustment instruction sequence, calculate adjusted power flow distribution data, and generate energy storage and topology configuration optimization data, so that the operation reliability and economical efficiency of the wind power plant are remarkably improved.

This terminal device is provided with an upper layer processing unit that receives a first upper layer parameter and a second upper layer parameter, a receiving unit that receives a PDCCH in which DCI is placed, and a transmitting unit that transmits an uplink physical channel, wherein: a first TCI state or a second TCI state is mapped to a TCI code point of the DCI; when the TCI code point is received, both or one of the first TCI state or the second TCI state mapped to the TCI code point is updated; the first upper layer parameter is a parameter for setting a unified TCI state; the second upper layer parameter is an ID of a reference signal for estimating propagation loss of the uplink physical channel; the transmission power of the uplink physical channel is based on a propagation loss reference signal; the propagation loss reference signal is based on a reference signal index; and when the first upper layer parameter is provided, the reference signal index is provided by one or both of the second upper layer parameter of the first TCI state and the second upper layer parameter of the second TCI state.

A user equipment (UE) is described. The UE may comprise reception circuitry configured to receive a SIB and; transmission circuitry configured to select one from a plurality of LCID indices based on at least whether a threshold is configured in the system information block and whether an RSRP of a downlink pathloss reference is less than the threshold, and transmit Msg3 with the selected LCID index in a MAC sub-header, wherein the plurality of LCID indices include a first LCID index, a second LCID index, a third LCID index and a forth LCID index, the first LCID index is for RedCap UE and indicating capability of PUCCH repetition, the second LCID index is for non-RedCap UE and indicating capability of PUCCH repetition, the third LCID index is for RedCap UE and not indicating capability of PUCCH repetition, and the forth LCID index is for non-RedCap UE and not indicating capability of PUCCH repetition.

The invention discloses a remote communication method and system for an unmanned mine car, and belongs to the field of communication.The remote communication method for the unmanned mine car comprises the following steps that a three-dimensional terrain model of a mine area is constructed, and electromagnetic wave propagation path loss is calculated in real time; if it is predicted that the communication quality of the target unmanned mine car is possibly lower than a threshold value due to terrain shielding after the dynamic time threshold value T, a direct communication mode is changed into an intermediate communication mode; screening relay nodes from other unmanned mine cars; compared with the prior art, the method has the advantages that the communication mode is changed in advance by judging whether the communication quality of the unmanned mine car is lower than the threshold value possibly due to terrain shielding or not in advance, the direct communication mode is changed into the intermediate communication mode, and after it is confirmed that the terrain shielding risk is relieved and the communication quality is judged, the communication mode is changed into the intermediate communication mode. An intermediate communication mode is changed into a direct communication mode, so that the unmanned mine car always keeps good communication quality and always works normally.

Certain aspects relate to power headroom report (PHR) based on a predicted channel metric. For example, an apparatus may obtain, from a network entity, a reference signal and a configuration indicating a set of one or more parameters. The apparatus may calculate a path loss based on a predicted channel metric of the reference signal. The apparatus may generate a power headroom report (PHR) based on at least one of the set of one or more parameters, a set of one or more conditions, or the calculated path loss, wherein the PHR indicates at least a power headroom (PH) at a future time instance. The apparatus may output the PHR for transmission to the network entity, the output being based on the set of one or more conditions.

The method comprises the following steps: 1) establishing a disturbance data acquisition module, and outputting a six-channel disturbance tensor; 2) establishing a medium parameter correction module, and outputting corrected surface conductivity sigma (omega, t) and a relative dielectric constant epsilon r (omega, t); 3) establishing a disturbance spectrum extraction module, and outputting a disturbance spectrum embedded feature Ffuse; 4) establishing a path loss modeling module, including taking a frequency omega and a propagation distance d as core variables, fusing medium dynamic characteristic parameters sigma (omega) and epsilon r (omega) output by a previous module and a disturbance spectrum embedding feature Ffuse, and establishing a dynamic estimation function for ground wave propagation path loss; included sliding time window-based ensemble learning residual regression strategy to obtain corrected path loss

The invention relates to the technical field of indoor positioning, and provides an indoor positioning method and system based on a beacon network array. The method comprises the following steps: periodically broadcasting a wireless signal containing a unique identifier through a low-power-consumption Bluetooth beacon deployed according to a preset topology rule; the mobile terminal receives and collects the signal intensity and identification information, generates original positioning data and uploads the original positioning data to the remote platform; and the platform inquires the beacon physical coordinates according to the identifier, and calculates the terminal position through a path loss model and a multi-point positioning algorithm in combination with the signal intensity value. The system comprises a beacon broadcasting module, a signal receiving module, a data uploading module, a coordinate query module and a positioning calculation module. According to the invention, high-precision indoor positioning in a GPS-free environment is realized, and the positioning reliability and applicability are improved.

Provided are a power control method and terminal devices. The method comprises: a terminal device determining transmit power of a first sidelink signal in shared spectrum based onfollowing information: first transmit power, determined based on a power limit; second transmit power, determined based on a maximum transmit power of the terminal device; and fourth transmit power, determined based on a downlink path loss or the second transmit power.

Examples pertaining to repeater gain control for device collaboration in distributed MIMO systems are described. An apparatus (e.g., a repeater) may determine a first compensation value for a first path loss on a first link between the apparatus and a UE, and determine a second compensation value for a second path loss on a second link between the apparatus and a network node of a wireless network. The apparatus may also determine a repeater gain for uplink power control according to the first compensation value and the second compensation value. The apparatus may further forward a radio signal from the UE to the network node according to the repeater gain.

The invention discloses an NTN condition switching method based on dynamic elevation weighting, and belongs to the technical field of wireless communication, and the method comprises the steps: obtaining D1 / T1 event configuration information and satellite ephemeris of a service satellite and a target satellite from an NR network; the position of the user equipment is obtained, and satellite elevation angles of the service satellite and the target satellite are calculated in combination with satellite ephemeris; acquiring the satellite signal quality RSRP of the service satellite and the target satellite, and performing dynamic weighting based on the satellite elevation angle, the satellite type and the path loss; and performing A3 event verification according to the position of the user equipment, the dynamic weighting result and the D1 / T1 event configuration information, and if an A3 event is satisfied, initiating a process of switching to a target satellite. On the basis of a D1 / T1 event, a switching decision is optimized by combining dynamic elevation weighting with a satellite type and path loss characteristics, the limitation of pure position / time triggering is solved, and the switching effect is improved.

The invention belongs to the related technical field of wireless communication, and particularly relates to an Internet of Vehicles path loss prediction method and system based on a heterogeneous graph neural network, and the method comprises the steps: taking a vehicle and a selected receiver as nodes, taking the multi-dimensional physical driving characteristics of the vehicle and the receiver, and taking the spatial correlation between the receivers as edges to construct a heterogeneous graph; and predicting the heterogeneous graph by using the trained multi-modal mixed attention graph neural network model to obtain an Internet of Vehicles path loss prediction result. The heterogeneous graph not only integrates geometric physical characteristics and static environment characteristics of a vehicle and a receiver, but also integrates dynamic environment characteristics and microscopic path profile characteristics, so that the model can effectively capture channel violent changes caused by high-speed movement of the vehicle, rapid changes of surrounding shelters and a close-range microscopic sheltering effect; and the prediction robustness of the model in extreme dynamic and complex microenvironments is greatly improved.

The invention discloses a low-orbit satellite Internet of Things terminal baseband communication system, and relates to the technical field of Internet of Things communication. The system comprises a data frame construction unit, a channel regulation and control unit, a bandwidth tracking unit and a decoding correction unit, wherein the data frame construction unit generates an initial frame according to an Internet of Things protocol and dynamically adjusts a frame structure in combination with channel characteristic parameters to complete data packing; and the channel regulation and control unit judges a coding modulation mode according to real-time channel quality and satellite motion parameters, processes a transmitting link, dynamically adjusts the transmitting power of the high-frequency analog signal based on path loss estimation, and finally transmits the high-frequency analog signal through an antenna. At a receiving end, a bandwidth tracking unit adaptively adjusts the loop bandwidth according to the switching characteristic parameter, and dynamically filters the received signal; and the decoding correction unit performs adaptive early stop correction of iterative decoding according to the decoding convergence rate, and finally completes data analysis.

The invention belongs to the technical field of unmanned aerial vehicle millimeter wave communication channel modeling, and discloses an urban low-altitude unmanned aerial vehicle millimeter wave communication channel modeling method under sand and dust weather conditions. According to the method, a three-dimensional geometric random channel model is provided, and scatterers are divided into three types: near-field scatterers at the transmitting end and the receiving end adopt bicylindrical models, suspended dust adopts a complete ellipsoid model, and ground fixed scatterers adopt a lower half ellipsoid model with a larger semi-major axis. On the basis of the model, channel impulse response containing sight distance, primary scattering components and secondary scattering components is derived, and a space-time correlation function and Doppler power spectral density are calculated. And finally, establishing a joint path loss model: on the basis of the two-path fading model, introducing an additional attenuation factor related to the visibility of the sand and dust and the particle charge mass ratio, and determining specific parameters of the factor according to the grade of the sand and dust. According to the method, the channel characteristics can be accurately predicted, and theoretical support is provided for anti-interference design and link optimization of the millimeter wave communication system of the unmanned aerial vehicle.

The invention relates to the technical field of communication anti-interference testing, in particular to an unmanned aerial vehicle interference testing method based on dynamic attenuation and power division. According to the method, multi-dimensional environment feature vectors including power spectral density, modulation features and signal time delay are extracted; a dynamic attenuation matrix is constructed based on the vector, and a composite path loss model is established on the basis of correcting a free space propagation model, so that interference characteristics in a real wireless propagation scene can be effectively simulated, a test channel is enabled to be more fit with an actual deployment environment, and the credibility and adaptability of interference test are improved; according to the invention, based on the optimal power proportion, three types of signals, namely, an environment noise signal, a deceptive interference signal and an impressive interference signal, are generated respectively, and three indexes, namely communication response time delay, positioning deviation and a communication interruption rate, are combined to form an accurate anti-interference evaluation system; and the robustness, the stability and the fault-tolerant capability test precision of the unmanned aerial vehicle communication system in different interference environments are effectively improved.

A method comprises receiving, by a wireless device, one or more configuration parameters indicating: one or more first synchronization signal blocks (SSBs), of a cell, for transmission on-demand, and one or more second SSBs of the cell. The method further comprises transmitting an uplink signal based on a second SSB, of the one or more second SSBs, as a pathloss reference signal. The second SSB has a same index as a first SSB of the one or more first SSBs.

This invention provides a method for planning a wireless network within a high-speed train, belonging to the field of train communication. The method extracts key internal structural factors affecting radio wave propagation within the train by establishing a geometric model of the target scenario, and then constructs a segmented path loss model. It establishes a communication system model and a channel model based on the asymmetrical structural features inside the carriages, deriving mathematical expressions for wireless network coverage performance indicators. Combining the communication quality requirements within the train and relevant model formulas, it determines the maximum coverage distance of radio waves, determines the initial deployment locations of base stations based on the actual layout within the train, optimizes the size of cell overlap areas using wireless network coverage performance indicators, adjusts base station locations, and obtains the final deployment plan. This invention solves the problem that wireless communication technologies with random fluctuation characteristics cannot meet the high communication quality requirements of next-generation train communication networks.

A Positioning Reference Signal (PRS) supporting sidelink power allocation method is provided. The method includes: determining base transmission power of a PRS based on PCMAX, PMAX,CBR and PPRS,SL(i); and allocating PRS transmission power for the PRS, wherein the PRS transmission power is larger than or equal to the base transmission power of the PRS; wherein PCMAX is a maximum transmission power of a terminal, PMAX,CBR is a maximum transmission power of the terminal under a given Channel Busy Ratio (CBR) PPRS,SL(i) is path loss compensation power of the PRS at an i-th positioning occasion of transmitting the PRS, and i indicates that the i-th positioning occasion is transmitted.

Various aspects of the present disclosure relate to detecting at least two selection-suitable cells of similar pathloss on a frequency range, each cell associated with a RF channel, and determining a potential RF interference condition between the at least two selection-suitable cells due to overlapping spectra of the associated RF channels. Aspects of the present disclosure relate to determining, for the frequency range, updated maximum supported bandwidths of the UE and transmitting an indication of at least one updated maximum supported bandwidth to a wireless network.

A terminal according to an aspect of the present disclosure includes: a receiving section that receives a cell switch command including information related to a target cell to be a candidate for serving cell switching; and a control section that controls path loss calculation, based on a measurement result of a reference signal before or after reception of the cell switch command.

The application discloses a wireless communication channel parameter measurement method and system, comprising the following steps: obtaining a sending signal based on a PN sequence of a wireless transmitting end; obtaining an influence of a channel impulse response based on the sending signal; performing convolution on the sending signal and the influence of the channel impulse response to obtain a receiving signal; obtaining autocorrelation outputs of different channels based on the receiving signal and the PN sequence; and obtaining path loss of the channel based on the autocorrelation outputs of the different channels. Compared with the traditional channel measurement activity using a special channel measurement instrument or a VNA, the device cost is greatly reduced, the manpower and material resources cost of the measurement activity is low, and a large amount of channel data can be obtained according to different experimental schemes.