982 results about "Path loss" patented technology

The invention provides an unmanned aerial vehicle sharing intelligent management method and system based on artificial intelligence, and relates to the technical field of intelligent control, and the method comprises the steps: constructing a space virtual geometric shape through a coordinate mapping algorithm; extracting a geometric center coordinate of the space virtual geometric shape, and calculating an offset between the geometric center coordinate and a communication coverage centroid as a first correction factor; analyzing signal coverage included angle distribution among the three position points, and generating a second correction factor in combination with a path loss model; calculating a multipath effect compensation coefficient as a third correction factor according to the signal attenuation gradient on the virtual shape boundary; fusing the first correction factor, the second correction factor and the third correction factor into a comprehensive correction value; and according to the comprehensive correction value, evaluating a communication interruption risk through a path planning neural network, and generating a multi-path transmission scheme containing a redundant relay node selection rule and a dynamic fragmentation recombination strategy. According to the invention, the communication reliability is improved.

A wireless device receives, via a serving cell, one or more radio resource control (RRC) messages comprising configuration parameters of a candidate cell for a layer 1 / 2 triggered mobility (LTM) procedure. The configuration parameters indicate a transmission power of a synchronization signal block (SSB) transmitted via the candidate cell. The wireless device receives a physical downlink control channel (PDCCH) order comprising a cell indicator indicating the candidate cell, an SSB index indicating the SSB of SSBs of the candidate cell, and a preamble index of a preamble. The wireless device transmits, via a physical random access channel (PRACH) occasion corresponding to the SSB of the candidate cell, the preamble using an uplink transmission power based on a measurement of a pathloss. The pathloss is determined based on the transmission power of the SSB, and a layer 3 filtered reference signal received power (RSRP) of the SSB.

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.

A wireless device receives a control command indicating a transmission configuration indicator (TCI) state for a cell. The TCI state indicates a pathloss reference signal and a pathloss offset value. The wireless device determines, for a power headroom report, a pathloss estimate using the pathloss reference signal and the pathloss offset value indicated by the TCI state. The wireless device transmits the power headroom report.

A method is performed by a wireless device (900) for physical random access channel, PRACH, transmission triggered by a physical downlink control channel, PDCCH, order. The wireless device receives (100), via radio resource control, RRC, signaling, a configuration for the PDCCH order. The wireless device receives (110) the PDCCH order in accordance with the received configuration. The received PDCCH order includes an indication whether a pathloss offset associated with a transmission configuration indicator, TCI, state is to be used for determining a power level for transmission of a PRACH preamble. The wireless device transmits (120) the PRACH preamble with a power level determined based on the indication included in the received PRACH order.

The invention belongs to the technical field of maritime wireless communication. The invention provides an evaporation waveguide and scatter communication mode discrimination method based on measured data. According to the embodiment of the invention, the method comprises the steps: setting a threshold value of a difference between a troposphere scattering path loss simulation value of a troposphere propagation prediction model and an actual measurement path loss average value according to the parameters, such as a communication distance, a working frequency, a transmitting antenna gain and a receiving antenna gain; and according to an evaporation waveguide and troposphere scatter communication mode discrimination criterion, a current offshore beyond visual range communication mode is accurately discriminated. According to the method, the maritime beyond-visual-range communication system can fully utilize the evaporation waveguide to reduce the power consumption of the communication system or improve the communication rate, and key technical support can be provided for performance improvement of the maritime beyond-visual-range communication system.

The invention provides a communication and perception integrated channel modeling method based on geometric statistics principle extension, and the method comprises the steps: constructing a channel simulation scene, configuring basic parameters of a channel, and obtaining large-scale parameters, communication path loss and perception sub-channel path loss, the basic parameters at least comprising the positions and speeds of a plurality of perception targets; acquiring an initial communication cluster parameter set and a sensing sub-channel cluster parameter set according to the basic parameters; according to a shared sensing sub-channel cluster parameter corresponding to a shared sensing target, correcting the initial communication cluster parameter set to obtain a corrected communication cluster parameter set including a shared communication cluster parameter, the shared sensing target being determined based on a pre-configured shared parameter; obtaining sensing cascade path loss and sensing cascade channel impulse response according to the parameters; and obtaining a communication channel impulse response according to the corrected communication cluster parameter set. Modeling depicts real sharing characteristics of communication and sensing channels, and can be well compatible with existing channel modeling standards.

In a wireless communication system, cross-link interference (CLI) measurements are used for received signal strength indicator (RSSI) based positioning. A first user equipment (UE) receives from a base station, a first message comprising a cross-link interference (CLI) configuration; performs one or more CLI measurements associated with an uplink transmission of a second UE based on the CLI configuration; receives a second message comprising an uplink transmission power measurement of the second UE; determines a pathloss associated with the second UE based on the one or more CLI measurements and the uplink transmission power measurement; and determines a range between a location of the first UE and a location of the second UE based on the pathloss.

Some communications systems include one or more cells that provide on-demand signaling for network energy saving (NES). In on-demand signaling, a user equipment (UE) in an idle or inactive state transmits a wake-up signal (WUS) to the cell (e.g., network entity) to request an on-demand signal. Examples of on-demand signals include a synchronization signal block (SSB) signal or a system information block (SIB) signal. For instance, a SIB1 may be transmitted when an uplink WUS is detected by the cell. The UE may utilize a WUS configuration to transmit the WUS to the cell. For instance, the WUS configuration may be utilized to perform time tracking, frequency tracking, or pathloss measurement to transmit the WUS. In some approaches, the WUS configuration may be carried by a physical broadcast channel (PBCH) from a cell.

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 present disclosure provides a system and a method for generating a path loss propagation model through machine learning. The system generates a path loss propagation model for fifth generation (5G) networks for network planning. The path loss model predicts a reference signal received power / signal to noise interference ratio (RSRP / SINR) by leveraging a fourth generation (4G) user data.

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.

Methods, a remote unit and abase unit are disclosed. According to one embodiment, a method at abase unit, comprising: transmitting, to a remote unit, multiple power control parameters for physical uplink control channel (PUCCH) by higher layers signaling; and transmitting, to the remote unit, a transmit power control (TPC) command with downlink control information (DCI) format 2_2 scrambled by transmit power control-physical uplink control channel-radio network temporary identity (TPC-PUCCH-RNTI), wherein the power control parameters include more than 8 P0 values and more than 4 pathloss reference signals (PL-RSs).

The invention discloses a dynamic topology ad hoc network method based on environmental perception and adaptive optimization, and relates to the field of wireless sensor networks. Parameters (such as temperature, obstacle distribution and node energy consumption) of nodes are collected in real time; a multi-dimensional quantization parameter matrix including an obstacle coverage matrix, an energy consumption distribution matrix and a signal attenuation coefficient matrix is constructed, and path loss, communication delay and node energy consumption are fused and calculated to generate a node weight value by adopting an adaptive weight calculation mechanism, so that the priority of a communication link is dynamically adjusted. Compared with the prior art, the method has the advantages that the self-healing capability and the real-time performance of the network in a complex environment are remarkably improved, the global calculation overhead is reduced, the real-time performance and the expansibility of the system are improved, the node layout and the dynamic optimization of a communication path are realized, and the network load and the stability are balanced.

A device may estimate targets and angle-of-arrival (AoA) and angle-of-departure (AoD) pairs for the targets based on a sensing-aware beam-forming (SABF) signal and a sensing-aware beam-nulling (SABN) signal received from another device. The device may perform post-processing of the AoA and AoD pairs to modify estimation accuracies for the AoA and AoD pairs, and may estimate path loss values for paths of the targets. The device may determine positions of the targets based on the AoA and AoD pairs, and may perform one or more actions based on the positions of the targets. The device may receive communication pilots from the other device, and may determine transmitter calibration coefficients for the other device and receiver calibration coefficients for the device based on the communication pilots.

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.

The present application provides a ranging method and a ranging device, which help improve the accuracy of measuring the distance of a terminal device using a TA or a path loss, thereby improving the positioning accuracy of the terminal device. The ranging method includes: a first device receives a first TA corresponding to a terminal device, the first TA is used to determine first distance information of the terminal device according to a TA quantization interval corresponding to the first TA, the first distance information including a first distance between the terminal device and a network device; the first device determines second distance information of the terminal device; the first device performs a distance measurement on the terminal device based on the first distance information and the second distance information; wherein the second distance information is determined based on one or more of the following: a path loss corresponding to the terminal device; and a second TA, wherein the TA quantization interval corresponding to the second TA is smaller than the TA quantization interval corresponding to the first TA.

The invention discloses a method and an apparatus in a node used for wireless communication reference signal transmission. A first node receives a first signaling, wherein the first signaling indicates a first reference signal resource; receiving a second signaling and a first reference signal, wherein whether the first reference signal can be used for calculating path loss together with other reference signals received in the first reference signal resource depends on the second signaling; a resource unit occupied by the first reference signal in a time unit where the first reference signal is located belongs to the first reference signal resource. According to the method, the calculation problem of the path loss in uplink power control is enhanced, the communication and sensing integration technology can be supported on the premise that the change cost of an existing network is low, fusion between communication and sensing is completed, the function of sensing auxiliary communication is achieved, the probability that the path loss is affected by outliers is reduced, and the path loss can be estimated correctly.

A wireless device may be configured to communicate with multiple computing devices, such as transmission / reception points. A control message, comprising a pathloss offset field, from a first computing device may cause the wireless device to determine a transmission power for uplink-only communication with a second computing device. The pathloss offset field may indicate an incremental fixed-size adjustment according to a preconfigured table. Based on the pathloss offset field, the wireless device may determine a pathloss offset for determination of the transmission power for the uplink-only communication.

The present application discloses a method and apparatus used in a node for wireless communication reference signal transmission. A first node receives first signaling, wherein the first signaling indicates a first reference signal resource; and receives second signaling and a first reference signal, wherein whether the first reference signal can be used together with other reference signals received in the first reference signal resource for path loss calculation depends on the second signaling, and the resource element occupied by the first reference signal in a time unit where the first reference signal is located belongs to the first reference signal resource. The present application enhances the calculation of path loss in uplink power control, and can support an integrated sensing and communication technology with minimal modification costs to the existing networks, thereby achieving fusion of communication and sensing, achieving the function of sensing-aided communication, reducing the probability of path loss being affected by outliers, and facilitating accurate estimation of path loss.

Provided are a method and apparatus for determining random access channel (RACH) occasions in a sub-band full-duplex (SBFD) wireless communication system. The method of the terminal may include receiving random access channel (RACH) configuration information including a reference signal received power (RSRP) threshold for subband full duplex (SBFD) from a base station, comparing an RSRP for a downlink (DL) pathloss reference with the RSRP threshold for the SBFD, and determining at least one RACH occasion based on the comparison result.

The invention relates to the technical field of wireless communication, in particular to a wireless repeater multi-band signal strength prediction system based on artificial intelligence, which comprises a multi-band signal acquisition and spatial decomposition module, a spatial-temporal feature extraction module, a channel modeling module and a multi-band signal strength prediction module. According to the method, environmental parameters such as multi-band original signals and air temperature of the wireless repeater are obtained in real time, a detailed feature matrix is generated through spatial signal processing, and a rich and accurate data source is provided for accurate prediction; an LSTM time sequence model is constructed to extract time features, a graph convolution model is used to extract spatial features, the time features and the spatial features are fused, an attention weight vector is optimized, and prediction precision is improved; and multi-band channel modeling is carried out, a path loss compensation model is constructed to correct a prediction result, and powerful support is provided for wireless repeater signal optimization management.

The invention discloses a communication method based on a reconfigurable intelligent surface, a communication device based on the reconfigurable intelligent surface and a communication system based on the reconfigurable intelligent surface, and belongs to the technical field of wireless communication. Jointly optimizing a current beam forming vector and a current RIS reflection parameter of the sender according to a channel estimation result obtained in real time through a depth deterministic strategy gradient algorithm; a joint optimization model of beam forming and RIS parameters of a sender is established, a non-convex optimization problem is converted into a Markov decision process, efficient solution is realized through a depth deterministic policy gradient algorithm, and the transmission capability of communication can be improved. Furthermore, a reconfigurable intelligent surface technology is introduced, a reflection unit with independent amplitude-phase regulation and control capability is designed, the amplitude fixed limitation of a traditional passive RIS is broken through, double-fading path loss can be effectively overcome, and then the anti-interference performance of a communication system in complex electromagnetic environments such as high spectral density and high interference power can be 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 relates to the technical field of green communication, and discloses a visible light communication system and method based on CDMA (Code Division Multiple Access), the system comprises a transmitting end module, a visible light channel module, a receiving end module and a dynamic optimization module, by combining a CDMA multiple access technology and OFDM (Orthogonal Frequency Division Multiplexing) modulation, multi-user efficient access and spectrum resource dynamic allocation are realized, and the visible light communication efficiency is improved. User data streams are distinguished based on orthogonal spreading codes, and multi-user interference is effectively suppressed; through an OFDM subcarrier mapping and self-adaptive power allocation algorithm, the subcarrier transmitting power is optimized, the spectrum utilization rate is improved, the problem of resource allocation rigidness in a traditional TDMA / FDMA technology is solved, the communication capacity and the data transmission efficiency in a multi-user scene are remarkably improved, and by measuring the signal-to-noise ratio and the path loss of a channel in real time, the transmission efficiency of the multi-user scene is improved. And the spreading code length and the OFDM modulation order are dynamically adjusted, and signal attenuation and distortion caused by complex illumination conditions and a multipath effect are reduced.

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.

The invention discloses a communication method and device, a terminal and network side equipment, and belongs to the technical field of communication, and the communication method comprises the steps that the terminal executes a first operation, and the first operation comprises at least one of the following items: reporting auxiliary information to the network side equipment, the auxiliary information is used for assisting the network side equipment in scheduling the terminal; determining at least one of uplink sending power and uplink sending resources based on indication information sent by network side equipment, wherein the indication information comprises at least one of the following items: a power adjustment range and adjustment power backoff value information; and determining uplink sending information according to first information, wherein the first information comprises at least one of the following items: a cache size, a path loss estimation parameter, QoS, a service type, CQI, a first measurement result, a distance and environment information.