1207 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.

The invention discloses an actuator sealing performance test method and system, particularly relates to the technical field of industrial equipment sealing performance detection, and is used for solving the problem of positioning failure caused by signal aliasing in a multi-leakage scene in an existing method. Pressure attenuation frequency spectrum characteristics and leakage impact frequency spectrum peaks are extracted respectively by pressurizing a sealed cavity and synchronously collecting dynamic pressure and vibration signals; calculating a path loss value based on the amplitude gradient and the propagation time difference, and screening candidate leakage nodes; constructing a space grid model to solve three-dimensional coordinates of the leakage source; after the coordinates are projected to the surface of the structure model, pressure modal coherence and vibration impact energy are coupled and analyzed to generate a detection map; and finally, outputting a multi-leakage-point identification graph through spatial clustering and intensity grading. Accurate separation and spatial positioning of multiple leakage signals are achieved, and the reliability of complex sealing structure detection is remarkably 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.

The invention provides a city hidden unmanned aerial vehicle identification method and system. The method comprises the following steps: acquiring geometric morphology and material dielectric constant data of an urban building group, and generating a building material reflection parameter set; secondly, based on reflection parameters, millimeter wave frequency band combinations adaptive to building attenuation characteristics are screened, millimeter wave signals are directionally transmitted, reflection components of metal parts and unmanned aerial vehicle composite materials are separated, and a three-dimensional millimeter wave imaging map fused with multipath interference suppression parameters is generated; collecting a radio frequency signal, compensating path loss by using scattering phase offset, extracting a harmonic component of a propeller motor and a frequency hopping residual component of a communication module, and generating a time-space synchronous radio frequency fingerprint coding sequence; through constructing a millimeter wave and radio frequency coupling model, cross validation is carried out on a reflection component and a harmonic component, and accurate identification of the hidden unmanned aerial vehicle in the urban building group shielding area is realized. According to the invention, the urban hidden unmanned aerial vehicle identification precision is improved.

The invention discloses a resource allocation method for LTE (Long Term Evolution) wireless communication, relates to the technical field of wireless communication, and is used for solving the problem that wireless communication resource allocation is not clear. According to the method, the future position of the user is predicted by acquiring the historical position and speed data of the user and combining with the time step length, the channel quality is predicted through the path loss and interference model, the target cell is identified, data is provided for resource allocation, and the resource occupation state of the target cell is evaluated. The resource reservation proportion is dynamically adjusted in combination with user service requirements and channel quality, the communication quality and service continuity of high-speed users in the switching process are guaranteed, then, a shared resource pool is constructed, and low-interference resource blocks are preferentially allocated to high-priority users through an interference coordination strategy in combination with an interference thermodynamic diagram generated in real time, so that the high-priority users are subjected to resource allocation. The interference influence is reduced, the priority and the resource allocation strategy are dynamically adjusted, user migration is triggered in combination with the load balancing index, and global optimization of resource allocation and improvement of network performance are achieved.

The invention discloses a parameter optimization method based on an evaporation waveguide and troposphere scattering mixed channel, and the method comprises the steps: calculating the loss of a microwave propagation path through simulating a near sea surface evaporation waveguide and troposphere scattering environment in combination with an evaporation waveguide model, a troposphere scattering model, an atmospheric absorption attenuation model and a parabolic equation model; and obtaining the optimal transmitting antenna height, the optimal receiving antenna height and the optimal electromagnetic wave frequency under the evaporation waveguide and troposphere scattering mixed channel by using the target function and a global optimization algorithm. The method disclosed by the invention can adapt to application scenes such as complex offshore beyond visual range communication, can provide a flexible optimization scheme for different offshore propagation conditions and distances, and realizes all-weather beyond visual range communication by combining the advantages of an evaporation waveguide channel and a troposphere scattering channel; the influence of communication system parameters on electromagnetic wave propagation under an evaporation waveguide and troposphere scattering mixed channel can be effectively reflected, the loss of an electromagnetic wave propagation path is remarkably reduced, and the reliability of signal transmission 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.

The invention discloses a complex environment information collection method based on a sensor network, and relates to the technical field of information processing, and the method comprises the steps: collecting multi-dimensional geological data in real time, constructing a multilayer coupling model, and calculating a signal transmission path and path loss between sensor nodes; when a plurality of geological data meet at the relay node, opportunistic aggregation is carried out to form an aggregated data packet; dynamically adjusting a data compression strategy according to the current network bandwidth and the environment state based on the aggregated data packet and the signal transmission path to obtain a compressed data packet; constructing a panoramic model of an underground environment by using the decompressed geological data and combining geological changes and historical data monitored in real time, and predicting a future geological trend; through opportunistic data aggregation and a dynamic compression strategy, the data packet can be efficiently compressed according to the current network bandwidth and the environment state, so that the waste of the bandwidth is avoided, and the integrity of key data is ensured.

Apparatus and methods for determining an uplink pathloss for a communications device. A system comprises: a first infrastructure equipment; a second infrastructure equipment; and a communications device configured to communicate with the first infrastructure equipment via a first air interface provided by the first infrastructure equipment, and to communicate with the second infrastructure equipment via a second air interface provided by the second infrastructure equipment. The first air interface is an uplink-only interface for the communications device, and wherein the second air interface is both an uplink and downlink interface for the communications device. The uplink pathloss for the communications device on the first air interface is determined based on a received signal power of a first reference signal at the first infrastructure equipment and a transmission power of the first reference signal.

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.

A wireless communication method includes: determining, by a first terminal based on transmitting power of a backscatter signal, a path loss between the first terminal and a target receiving device and target receiving power of the target receiving device, a target transmission mode of a first signal from multiple transmission modes, where the multiple transmission modes include an active transmission mode and a backscatter mode, and the target receiving device is a receiving device of the first signal.

The invention provides a multi-unmanned aerial vehicle edge network task unloading and resource allocation method based on MAPPO-Att, and relates to the technical field of unmanned aerial vehicle resource allocation. The method comprises the following steps: firstly, constructing a multi-layer heterogeneous edge computing network model, and computing average path loss between an unmanned aerial vehicle group and Internet of Things equipment; then designing an Internet of Things task unloading model, and calculating the total delay cost of the unloading task of the Internet of Things equipment; designing an energy cost and cost target optimization function model of the unloading task of the Internet of Things equipment; an MAPPO-Att algorithm is adopted to determine an optimal selection strategy of task unloading and resource allocation, the task unloading and resource allocation problems in an A2G network are solved, and the optimal strategy is searched to maximize long-term return, so that the calculation cost and effective resource allocation are reduced, and the overall training cost is reduced through a centralized training and decentralized execution technology; and completing unmanned aerial vehicle cluster resource allocation simulation until the task completion rate reaches a set value.

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 discloses a power distribution network feeder line self-healing online dynamic simulation test method and device and a computer program product, and the method comprises the steps: generating a self-adaptive topology recognition and fault self-healing scheme based on the on-site test characteristics of a power distribution network feeder line self-healing protection function; constructing a power distribution network feeder line self-healing model by combining the self-adaptive topology identification and fault self-healing scheme with the goal of meeting the requirements of recovering load power, isolating load and path loss; key parameters of a northern eagle optimization NGO algorithm are optimized by adopting chaos initialization and an elite individual learning strategy; and analyzing the self-healing model of the feeder line of the power distribution network by using an improved NGO algorithm, simulating the operation process of the whole feeder line group under different fault conditions on a dynamic model test platform, and outputting an optimized self-healing processing strategy. According to the invention, the stability, reliability and operation efficiency of the power distribution network are significantly improved, and an efficient and intelligent self-healing control solution is provided for a complex and changeable power distribution network environment.

Methods and apparatus for determining losses due to obstructions in a wireless communications system are described. Pairs of measurements points, one of each side of an obstruction are selected, and wireless device reported received signal energy measurements corresponding to the pair of selected locations are used to determine a path loss through the obstruction. In some embodiments, the pair of measurements points are selected based on one or more of: wireless device orientation at the time of measurement, application in use at the time of measurement, time between measurements, or location between measurements. In one example, a first selected location in the pair corresponds to an outdoor location with a unobstructed line of sight view to the base station, while the second selected location corresponds to an indoor location.

The invention relates to the technical field of wireless communication, in particular to a communication method and a related device. The method comprises the following steps: receiving target information from first network equipment; the target information is used for indicating correction parameters. And determining the target transmitting power for transmitting the target signal to the second network equipment. The target transmitting power is determined based on a downlink path loss correction result, and the downlink path loss correction result is determined by a correction parameter and a downlink path loss estimation result; the downlink path loss estimation result is determined by a path loss compensation factor configured by the first network device and / or a downlink path loss estimation value measured by the terminal device based on a downlink reference signal of the first network device. By adopting the method, the determined target transmitting power can be more reasonable.

The invention relates to the technical field of wireless communication, in particular to a communication and rate optimization method and system of an ARIS-assisted ISAC-NOMA system. Channel fading gains from a user terminal to an ARIS node and from the ARIS node to a DFRC-BS node, a steering vector when a DFRC-BS node antenna array sends a sensing signal and a complex path loss coefficient of the sensing signal are obtained, the DFRC-BS node sends the sensing signal, the user terminal sends an uplink communication signal, and the DFRC-BS node receives a sensing target echo signal and a communication signal at the same time; a continuous interference elimination technology is adopted for the communication sensing mixed signals, and the communication sum rate and the sensing signal-to-noise ratio are calculated; and iteratively solving an optimization problem by using an alternating optimization algorithm to obtain the maximum communication and rate of the system. Compared with the traditional method, the method provided by the invention can realize higher communication rate and better sensing performance in different scenes, and has higher practical application value.

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.

A wireless device receives configuration parameters indicating a sounding reference signal (SRS) resource set comprising a first SRS resource and a second SRS resource. The first SRS resource is associated with a first transmission configuration indicator (TCI) state that is associated with a first pathloss reference signal (PL-RS) and the second SRS resource is associated with a second TCI state that is associated with a second PL-RS. The wireless device determines a PL-RS, for an uplink transmission via the second SRS resource, is the first PL-RS based on a first index of the first SRS resource being lower than a second index of the second SRS resource. The wireless device transmits the uplink transmission via the second SRS resource based on a transmission power determined based on the determined PL-RS and the second TCI state.

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 relates to a troposphere over-the-horizon communication channel path loss prediction method based on a Transform network, and belongs to the field of communication technologies and deep learning. The method comprises the following steps: firstly, constructing a Transform network path loss prediction model; secondly, the method constructs data sets of a path loss prediction model, including a training data set and a test data set. The construction process of the data set comprises the following steps: firstly, based on a WRF mesoscale numerical meteorological mode, inverting marine troposphere beyond-visual-range environmental meteorological parameters, and performing large-area high-resolution long-time-efficiency evaporation waveguide height forecast by using an NPS model to obtain an evaporation waveguide height forecast value; secondly, predicting channel path loss by using a two-dimensional parabolic equation method, combining meteorological parameters, evaporation waveguide height and working parameters of communication equipment to form an X input feature, and taking a path loss predicted value as a Y input feature; and finally, model training optimization and performance evaluation are carried out by the method.

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.

The invention provides a communication method and a communication device, which are applied to the technical field of communication. In the technical scheme provided by the invention, terminal equipment receives configuration information, the configuration information comprises related parameters of one or more first resources, the first resources are uplink path loss measurement resources, and each first resource corresponds to one first signal; the terminal equipment sends a first signal corresponding to one or more first resources; and receiving first indication information, wherein the first indication information is used for indicating the path loss value or the receiving power corresponding to the at least one first resource. In the application, the terminal device can determine the uplink transmission path loss value between the network device only having the uplink communication function and the terminal device.

A method comprising initiating a random access (RA) procedure, by a reconfiguration with sync, for a bandwidth part (BWP), in circumstances where the reconfiguration with sync was not initiated for recovery using an lower-layer triggered mobility (LTM) candidate configuration, in circumstances where the BWP was configured with the dedicated contention free RA resources for the 4-step RA type, performing 4-step RA, in circumstances where the active BWP was not configured with the dedicated contention free RA resources for the 4-step RA type: in circumstances where the BWP was configured with the dedicated contention free RA resources for the 2-step RA type, performing 2-step RA, in circumstances where the BWP was not configured with the dedicated contention free RA resources for the 2-step RA type, performing 4-step RA; in circumstances where the reconfiguration with sync was initiated for recovery using an LTM candidate configuration: in circumstances where the BWP is configured with RA resources for 2-step RA type: in circumstances where the BWP is not configured with RA resources for 4-step RA type random access, performing 2-step RA, in circumstances where the BWP is configured with RA resources for 4-step RA type: in circumstances where the measured RSRP of the downlink pathloss reference is above the message-A threshold, performing 2-step RA, and in circumstances where the measured RSRP of the downlink pathloss reference is not above the message-A threshold, performing 4-step RA is disclosed.

The invention provides a key parameter determination method and an operation method of a base station, a storage medium and the base station, and relates to the technical field of wireless communication. The performance index of the base station is calculated by acquiring the network performance parameter of the base station, and a path loss function is established according to the related physical parameter of the base station; defining a performance index exceeding a preset loss threshold as a key performance index, further determining key parameters of the base station, collecting a data transmission rate, an error rate and base station power consumption in real time, generating a base station operation threshold based on the key performance index in combination with an associated threshold interval, generating a comprehensive operation index in the last step, and comparing the comprehensive operation index with the operation threshold. And judging the operation state of the base station, and regularly optimizing and adjusting the parameters of the base station based on the operation state so as to adapt to user requirements and environment changes. According to the invention, by establishing a network performance parameter evaluation and path loss analysis method, the operation state of the base station is monitored and optimized, so that the network service quality and the resource utilization efficiency are improved.