1583 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 evaporation waveguide and troposphere scattering mixed mode radio wave propagation model beyond visual range. According to the model, a formula for calculating radio wave propagation loss of radio waves in an evaporation waveguide environment by using an improved advanced propagation model is compared with a formula for calculating radio wave propagation loss of radio waves in a troposphere scattering environment by using a troposphere scattering model, and a target intersection point is obtained, the target intersection point is composed of a demarcation propagation value and a demarcation propagation loss value. The technical problem that a certain deviation exists between a calculation result and actually measured path loss due to the fact that an existing advanced propagation model cannot judge that a current radio wave propagation mode is an evaporation waveguide or troposphere scattering according to radio wave frequency and transmitting and receiving antenna height under the condition of a radio wave propagation distance is solved.

Methods (300, 400) and apparatuses for MPE P-MPR reporting are disclosed. In one embodiment, a method (300) of a UE comprises selecting, in response to MPE event being detected, N SSB or CSI-RS resources according to the virtual PH of each SSB or CSI-RS resource within a candidate resource pool for a cell, where N is an integer equal to or larger than 1, wherein each virtual PH is computed by (I) where (II) is computed assuming MPR=0 dB, A-MPR=0 dB, ΔTc=0 and P-MPR is the virtual P-MPR of there source, PL (qd) is the DL channel pathloss calculated by taking the SSB or CSI-RS resource as the PL-RS, PO_PUSCH, b, f, c and α are obtained by the power control parameters used for PUSCH associated with the current indicated UL TCI state with separate DL and UL TCI or the joint DL / UL TCI state with joint DL / UL TCI, or it is assumed that PO_PUSCH, b, f, c=0 and α=1, and fb, f, c=0 (302); and transmitting an MPE MAC CE including P-MPR of the MPE event and N pairs of virtual P-MPR and SSBRI or CRI, each SSBRI or CRI corresponds to one of the selected N SSB or CSI-RS resources (304).

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.

A wireless device receives a radio resource control (RRC) release message indicating one or more configured grants (CGs) for small data transmission (SDT) in an RRC inactive state and one or more downlink reference signals (RSs) configured for the SDT. The wireless device also transmits an uplink signal using a transmission power, wherein a downlink pathloss value of the transmission power is based on a first downlink RS, of the one or more downlink RSs, identified for a most recent uplink transmission via a first CG of the one or more CGs during the SDT.

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 present invention provides a ray tracing-based method for indoor multi-base station location optimization in a millimeter wave frequency band, comprising: constructing an indoor millimeter wave network model; determining an indoor millimeter wave network model optimization constraint condition; constructing a cost function of multi-base station location deployment on the basis of the constraint condition; determining the initial location of each base station in the indoor millimeter wave network model; and by taking the initial location of each base station as a starting point, determining an optimal location of each base station by means of axial search together with pattern search. According to the present invention, while maintaining low complexity and the advantages of a global optimization algorithm, an indoor multi-base station optimization problem can be solved under the constraint condition that base station locations are necessarily within a feasible interval, and by taking the path loss and signal-to-noise ratio as optimization parameters, a good balance can be achieved between the accuracy of optimization results and the complexity of optimization algorithms for the multi-base station deployment optimization problem, so that the optimized base station locations can provide high-quality signal coverage for an indoor millimeter wave network.

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.

A communication method and a related device relate to the technical field of communication. The method comprises the following steps: a terminal device sends first information to a network device and receives second information from the network device; correspondingly, the network device receives the first information from the terminal device and sends the second information to the terminal device. Wherein the first information is used for requesting uplink data transmission enhancement corresponding to the terminal equipment, and the first information is carried in a radio resource control (RRC) connection establishment message of the terminal equipment; the second information is used for indicating that uplink data transmission corresponding to the terminal equipment is enhanced. According to the method, the information for requesting the uplink data transmission enhancement corresponding to the terminal equipment is carried in the RRC connection establishment message, so that the network equipment can judge that the uplink transmission performance of the terminal equipment needs to be enhanced, thereby overcoming the signal path loss of a communication signal between the terminal equipment and the network equipment, improving the uplink transmission performance and improving the user experience. And the initial access of the terminal equipment can be stably completed.

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 relates to a multi-unmanned aerial vehicle auxiliary sensing integrated trajectory planning and resource allocation method, which comprises the following steps that a sensing integrated system comprising a plurality of unmanned aerial vehicles, a plurality of ground nodes and a plurality of mobile terminals is established, sensing integrated signals emitted by the unmanned aerial vehicles are received and reflected by the mobile terminals, and the sensing integrated signals are transmitted to the unmanned aerial vehicles; the reflected communication and inductance integrated signal is received and processed by a ground node; constructing a Cramer-Rao bound model of the mobile terminal at the target position of the mobile terminal according to the path loss of the flux-inductance integrated signal; establishing a joint optimization problem based on set constraint conditions by taking minimization of the maximum Cramer-Rao bound of all the mobile terminals at the target positions as a target; and solving the joint optimization problem to obtain the moving track and the transmitting power of the unmanned aerial vehicle and the corresponding ground node. According to the method, perception performance optimization under the constraint of communication performance is realized, and communication and calculation burden of data fusion is reduced on the premise of ensuring the perception performance.

A node positioning method for marine environmental monitoring wireless sensor networks is provided, which jointly estimates node positions and path loss factors by considering the node real-time movement and the path loss and absorption effect of underwater communication; transforms an original non-convex problem into a non-negative constrained least squares framework, and finds the optimal solution of marine node positions by two stages of interior point method and block coordinate update. In the first stage, the problem is re-expressed by using the penalty function according to the interior point method to obtain the approximate solution; and in the second stage, the original problem is transformed into a generalized trust region sub-problem, and the approximate solution obtained by the interior point method is used as the initial estimation, the accurate estimation values of the marine node position and path loss factor are obtained by iterative solutions combined with the block coordinate update.

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 satellite-ground convergence network multi-task unloading method and device, a medium and equipment, and relates to the technical field of satellite-ground convergence networks. According to path loss between each ground user and each low-earth-orbit satellite and transmitting power of each ground user, uplink transmission rate of each ground user during unloading to the low-earth-orbit satellite is determined, and then a communication model of data transmission rate of a multi-modal task of each ground user is constructed by taking a task unloading ratio of each ground user as a variable. Based on this, three multi-modal learning methods are further provided, a centralized Actor-Critic algorithm is used to process and compute intensive tasks to improve the data transmission rate, and a distributed multi-agent depth deterministic strategy gradient is used to process delay sensitive tasks to reduce network delay. The privacy protection task is processed through the quantized federated learning algorithm to protect the privacy data, the requirements of the multi-modal task in different aspects are met, and better resource scheduling is achieved.

Methods and apparatus for access node selection, and optimization of antenna direction and performance, within a power-limited system. In one embodiment, the system utilizes “quasi-licensed” CBRS (Citizens Broadband Radio Service) wireless spectrum in conjunction with a controller that dynamically adjusts antenna direction for receiving / transmitting information at an installed fixed wireless apparatus (FWA) at user or subscriber premises. In one variant, the FWA receives data on candidate access nodes (CBSDs), and includes controller logic that compares received power levels for candidate access nodes with the power levels estimated from path loss models, and optimizes antenna azimuth to maximize the antenna gain towards the selected access nodes. As such, service calls to optimize antenna performance after initial installation are not required, and network operating expenses are thereby reduced. Dynamic node reselection and optimization may also be used in instances of CBSD / spectrum withdrawal, changes in physical environment, and other applications.

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.

Disclosed is a method for controlling the transmission power of a sounding reference signal (SRS) by a terminal in a wireless communication system. In particular, the method comprises: connecting to a serving cell; receiving an RS resource for acquiring path loss used for the transmission power of an SRS; determining measurement for the path loss on the basis of the RS resource; and controlling the transmission power of the SRS on the basis of the determination on the measurement, wherein the RS resource is related to a neighbor cell, a measurement value of the path loss is used to control the transmission power, on the basis that measurement for the RS resource has succeeded, and information related to a power setting, acquired from the serving cell can be used to control the transmission power, on the basis that the measurement for the RS resource has failed.

A method for a random access channel less handover (RACH-less HO) in a non-terrestrial network is performed by a terminal device. The method includes: determining path loss change information of the terminal device before and after the RACH-less HO; and determining a transmission power of an uplink signal to a target network device according to the path loss change information.

The invention relates to the technical field of wireless communication, and discloses a self-adaptive reconfigurable intelligent surface positioning method based on long short-term memory network prediction, which comprises the following steps: step 1, constructing a self-adaptive reconfigurable intelligent surface positioning system model consisting of three entities including a reconfigurable intelligent surface RIS, a sensing target and an environment clutter; 2, explaining a passive reflection mechanism of the adaptive reconfigurable intelligent surface positioning system model from channel modeling and off-line and on-line training, and inferring angular domain information of a sensing target near the reconfigurable intelligent surface RIS by analyzing echo signals received on a direct link and a reconfigurable intelligent surface RIS reflection echo link; step 3, adaptively updating the reflection coefficient of the reconfigurable intelligent surface RIS in a codebook-free mode based on historical measurement data by using a learning positioning technology of a long short-term memory LSTM network; according to the invention, the product distance path loss in a reflection echo link is greatly reduced.

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.