9428results about "Network planning" patented technology

In wireless communication, a device may change, add, or handover between cells of network access for inter-cell mobility. This may include Layer 1 and / or Layer 2 (L1 / L2) signaling for a user equipment (UE) moving between cells in a network. There may be a configuration message that includes configurations for one or more Layer 1 (“L1”) or Layer 2 (“L2”) Triggered Mobility (“LTM”) candidate cells. A measurement report with L1 measurements for the LTM candidate cells is used for a cell switch command to indicate a target LTM candidate cell to trigger execution of a LTM cell switch to the target LTM candidate cell. The LTM cell switch is from a source cell to the target LTM candidate cell.

The invention relates to a signal detection and accurate positioning method for a lift-off platform unmanned aerial vehicle, and the method comprises the steps: deploying an unmanned aerial vehicle-mounted platform, capturing a global electromagnetic signal in real time, outputting multichannel original signal data, carrying out the time-frequency domain joint analysis, extracting a frequency hopping period, a modulation mode and pseudo-random code features, and recognizing a target unmanned aerial vehicle signal. A control instruction link signal and an image transmission link signal are separated; the arrival time difference and the arrival phase difference of the target unmanned aerial vehicle signal are converted into a dynamic space coordinate system, a three-dimensional positioning equation set is constructed, and real-time space position coordinates of the target unmanned aerial vehicle are obtained through calculation; and extracting transmitting end characteristic parameters of control instruction link signals, constructing a control signal propagation path model in combination with the real-time position of the target unmanned aerial vehicle, and positioning geographic coordinates of an unmanned aerial vehicle control source by reversely tracking a signal transmitting direction and an attenuation law. The terrain shielding influence is effectively avoided, the target identification accuracy and positioning precision are improved, and the unmanned aerial vehicle control source traceability is realized.

A method performed by a user equipment, UE, the method comprising: executing (601) a serving cell change procedure from a source cell provided by a first network node to a target cell provided by a second network node, wherein the serving cell change procedure is performed using lower layer signalling; and in response to executing the serving cell change procedure, performing (602) one or more of: (i) transmitting a serving cell change indication to the second network node indicating that the serving cell change has been executed; (ii) monitoring a downlink control channel in the target cell for scheduling of user data in a downlink to the UE; and (iii) transmitting a scheduling request in the target cell for scheduling of user data in an uplink from the UE.

It discloses a communication and radar target detection method based on an intelligent omni-surface, comprising step 1: constructing an optimization problem by maximizing a minimum beampattern gain as an objective function, the communication system being an integrated sensing and communication system based on an intelligent omni-surface; step 2: setting a constraint condition for the optimization problem constructed in the step 1, the constraint condition comprising a minimum rate constraint of a user, a maximum transmit power constraint of a base station, and amplitude and phase shaft constraints of the intelligent omni-surface; and step 3: solving the optimization problem after setting with the constraint condition to obtain an optimization solution for maximizing the minimum beampattern gain. According to the method, a capability of detecting the radar target is further improved under the condition that a quality of service of a communication user is guaranteed.

The invention discloses a dynamic beam adaptive optimization method for the Internet of Vehicles, and the method comprises the steps: firstly obtaining the current position, speed and driving direction of a vehicle, and carrying out the prediction of a future trajectory through combining historical trajectory information and employing a Kalman filtering technology and the like; and selecting a candidate beam direction from the predefined beam codebook. The system receives channel quality feedback information of a communication link in real time, and dynamically updates a beam forming weight based on an improved recursive least square algorithm. According to the algorithm, a composite adaptive adjustment mechanism of an error size and an error change trend is introduced, a multi-objective optimization function is constructed, and performance indexes such as link quality maximization, interference power minimization and beam switching frequency minimization are effectively balanced in a dynamic environment, so that an optimal beam direction is obtained. Finally, the real-time switching of the antenna array beams is realized through a low-overhead and low-delay control protocol. According to the method, track perception and a self-adaptive feedback mechanism are fused, and good real-time performance, stability and expandability are achieved.

A terminal according to an aspect of the present disclosure includes a receiving section that receives information related to first random access procedure including a repetition of a message 1, and a control section that, based on the information, uses, for the first random access procedure, a first random access resource and uses, for second random access procedure not including the repetition of the message 1, a second random access resource different from the first random access resource. According to an aspect of the present disclosure, it is possible to enhance coverage in random access procedure.

The invention relates to the technical field of wireless communication, in particular to a production line wireless communication system and method. The system comprises a multi-dimensional feature sensing module, an interference intelligent cognition and decision-making module, a communication opportunity decision-making module and a channel resource arrangement module. An expected action sequence, transient current features and spatial position topology of an interference source are collected through a multi-dimensional feature sensing module, and an interference source multi-dimensional feature set is generated through fusion; the interference intelligent cognition and decision-making module performs space-time spectrum joint modeling of an interference field based on the feature set, generates a workshop electromagnetic environment situation map, constructs a whole network link toughness map in parallel, and generates a conflict-free communication scheduling table through fusion analysis and multi-dimensional cost optimization; the communication opportunity decision module converts the dispatch table into an executable instruction; and the channel resource arrangement module executes the instruction and realizes closed-loop feedback. According to the method, the problem of communication uncertainty caused by industrial electromagnetic interference is solved, and reliable transmission of key services such as automatic guided vehicle scheduling and man-machine interaction is ensured.

A method (700) by a user equipment, UE, (112) for communicating in a restricted zone includes determining (702) a location of the UE in relation to the restricted zone. Based on the location of the UE in relation to the restricted zone, the UE takes (704) at least one action to maintain a level of communication quality of the UE.

A terminal according to one aspect of the present disclosure includes: a receiving section that receives, when the terminal includes eight antenna ports, downlink control information (DCI) including a plurality of fields of at least one of a precoding information and number of layers field and a transmission precoding matrix indicator (TPMI) field for codebook-based physical uplink shared channel (PUSCH) transmission; and a control section that controls uplink transmission, based on the DCI. According to one aspect of the present disclosure, UL transmission using more than four antenna ports can be appropriately controlled.

Various embodiments include a wireless communication network that comprises resource allocation circuitry. The resource allocation circuitry hosts a traffic forecasting machine learning model, a resource forecasting machine learning model, and a resource allocation machine learning model. The resource allocation circuitry obtains traffic data for a provisioning engine cluster and provides the traffic data to the traffic forecasting model. The resource allocation circuitry obtains an output that comprises a traffic prediction for the provisioning engine cluster and provides the prediction to the resource forecasting model. The resource allocation circuitry obtains an output that comprises a hardware requirement prediction for the provisioning engine cluster and provides the hardware requirement prediction to the resource allocation model. The resource allocation circuitry obtains an output that comprises a hardware allocation recommendation for the network provisioning engine cluster. The resource allocation circuitry allocates hardware resources to the cluster based on the hardware allocation recommendation.

The present disclosure relates to a wireless communication system and particularly to a method and an apparatus therefor, the method comprising the steps of: transmitting an RA preamble on one RO among a plurality of ROs, wherein, on ROs in a first RO group among a plurality of RO groups, a plurality of RA preambles having the same index are transmitted; receiving, on the basis of having transmitted the plurality of RA preambles, RAR by monitoring a plurality of PDCCH search spaces linked to the first RO group; and transmitting an uplink signal corresponding to the RAR, wherein a time resource of each PDCCH search space linked to the first RO group is linked to each RO of the first RO group.

The invention relates to the technical field of vehicle-mounted communication, and provides a 5G network optimization method and system based on an intelligent dynamic multi-band adaptive switching system, and the method comprises the steps: obtaining network signal quality data, environment perception data and a communication task demand set; dynamic obstacle features are extracted based on environmental perception data, and signal occlusion prediction is output through a double-branch mixed deep learning model; screening qualified candidate links to construct a candidate set, generating a dynamic weight by using a deep Q network, calculating a comprehensive score of the candidate links, determining a main communication link under a hard constraint condition, and generating a communication strategy instruction; and according to the instruction type of the communication strategy instruction, performing dynamic fragmentation and multi-path distribution on the data stream, performing verification, recombination and intelligent delivery by a receiving end, and collecting a feedback data packet for network closed-loop feedback. According to the method, multi-mode sensing and signal shielding prediction are fused, and a self-adaptive switching and cooperative transmission mechanism of multi-band communication is constructed.

A method (1000) by a wireless device (110) is provided for determining cell coverage area provided by one or more satellites. The method includes receiving (1002) information at the wireless device. The wireless device uses (1004) the received information to obtain a location of the cell coverage area provided by the one or more satellites for a plurality of times.

The invention discloses an array antenna phase-only real-time beam scanning and side lobe control method based on machine learning. Firstly, array geometry, scanning angles and minor lobe indexes are set; and then, array element excitation phases meeting requirements are rapidly synthesized by using a phase-only fast Fourier FFT (Fast Fourier Transform) algorithm. Constructing a training data set by taking the scanning angle and the minor lobe index as input and the corresponding phase distribution as output; training a neural network by using the data set to obtain a real-time prediction model from initial excitation distribution to accurate excitation distribution; and according to a target expected directional diagram scanning angle and a sidelobe feature, inputting the scanning angle and the sidelobe feature into a neural network to predict and obtain an array element excitation phase so as to realize a real-time phase-only beam and sidelobe control function. Input dimensions are reduced by extracting key features of a directional diagram, data generation is accelerated by means of FFT, real-time performance and precision are both considered, and the method is suitable for fast beam scheduling tasks of various array antennas.

Disclosed in the present invention is a three-dimensional roadside sensor deployment method for collaborative sensing in the Internet of Vehicles. The method comprises: modeling an RSN model of a three-dimensional road environment; on the basis of the RSN model, constructing sensing detection functions for single sensors, and when there are a plurality of sensors providing coverage, constructing a global sensor detection function for each deployable area on the basis of the sensing detection functions for the single sensors; taking the maximization of the proportion of deployable areas that meets or exceeds a minimum detection probability as a first objective optimization problem function, which maximization is based on the global sensor detection function, taking the minimization of the total number of sensors in each deployable area as a second objective optimization problem function, and constructing a deployment optimization reward function consisting of the first objective optimization problem function and the second objective optimization problem function; and constructing a decision sequence, and on the basis of a decision transformer, solving the decision sequence to obtain a deployment policy, wherein a cumulative reward value is obtained by performing reward reallocation on the deployment optimization reward function by means of a two-layer optimization method. The present invention implements sensor deployment in a three-dimensional road environment.

The application discloses a 5G network slice access control method based on service type, which comprises the following steps: 1) in a 5G network supporting multiple network slices, the type of a newly arrived service is judged, and the service is divided into a time delay sensitive service and a non-time delay sensitive service; if the service is the time delay sensitive service, step 2) is executed; if the service is the non-time delay sensitive service, step 3) is executed; 2) a bearing slice of the time delay sensitive service is selected; 3) a bearing slice of the non-time delay sensitive service is selected; 4) the next service needing transmission is waited for, and step 1) is executed. The application can minimize the time delay of the time delay sensitive service, realize the relative fairness of the time delay of various services, minimize the transmission waiting time of the non-time delay sensitive service, and improve user perception.

A system includes a distributed ledger storing one or more smart contracts; one or more 5G small cells, each having one or more antennas mounted on a housing, each small cell sending packets of data trackable with the distributed ledger; and a processor to control a directionality of the antennas in communication with a predetermined target using 5G protocols.

The invention provides a low-orbit satellite communication terminal network performance dynamic tuning method and system, and relates to the technical field of low-orbit satellite communication. Comprehensive data such as relative movement of a satellite and a terminal and signal transmission loss are acquired; preprocessing the integrated data, inputting the preprocessed integrated data into a time sequence prediction model containing LSTM and Transform, generating a signal quality and intensity index sequence and a link stability level in a future preset time window, and carrying out dynamic optimization based on the generated indexes, including adjusting a terminal modulation mode according to the signal quality; combining the link stability and the signal strength to aggregate the link, and optimizing the switching opportunity and path; allocating resources according to the signal strength and the service characteristics; and optimizing the energy consumption according to the relative motion and the business characteristics. Through accurate prediction and multi-dimensional adjustment and optimization, the communication efficiency and reliability of the low-orbit satellite communication terminal network are improved, energy consumption and delay are reduced, and good communication quality is guaranteed.

The invention relates to the technical field of unmanned aerial vehicle communication anti-interference, in particular to an unmanned aerial vehicle anti-interference system based on spectrum sensing. According to the invention, a spectrum sensing data acquisition module acquires multi-band frequency spectrum signal data and generates a spectrum interference characteristic spectrum; the interference source positioning module calculates an azimuth angle and a distance of an interference source and generates a spatial distribution data set; the three-dimensional interference field construction module constructs a three-dimensional interference field model containing an interference intensity gradient and a propagation direction in combination with the real-time height and geographic coordinates of the unmanned aerial vehicle; the anti-interference strategy generation module analyzes the vulnerability of a communication link, and dynamically adjusts the frequency band switching priority and the transmitting power allocation weight; the beam forming control module calculates antenna array phase offset and a beam pointing angle, and generates an adaptive beam forming parameter set. The system can improve the anti-interference capability and communication stability of the unmanned aerial vehicle in a complex electromagnetic environment.

A control unit (130) of a control apparatus (10) acquires a position of a first communication device (40A) and first quality information about a plurality of links. The first communication device (40A) is positioned in a first site in which a first base station (20A1) for a first private network is arranged, and is connectable to the plurality of links including the first private network. The control unit (130) acquires a position of a second communication device (40B) and second quality information about the plurality of links. The second communication device (40B) is positioned in a second site in which a second base station (20B1) for a second private network is arranged, and is connectable to the plurality of links including the second private network. The control unit (130) acquires first and second communication information about the first and second communication devices (40A and 40B). The control unit (130) uses the first and second communication information and first and second quality information to determine a communication route satisfying a desired quality between the first and second communication devices (40A and 40B), and gives notice of route information.

Proposed are a method and apparatus for performing an OBSS sounding procedure in a wireless LAN system. Specifically, a receiving STA receives a first trigger frame from a first transmitting STA. The receiving STA receives an NDPA frame from a second transmitting STA. The receiving STA receives an NDP frame from the second transmitting STA. On the basis of the NDPA frame and NDP frame, the receiving STA transmits a feedback frame to the first or second transmitting STA. The first trigger frame contains information about an OAID. The OAID is information for the second transmitting STA to identify the receiving STA. The NDPA frame, NDP frame, and feedback frame are transmitted and received on the basis of the OAID.

A terminal according to one aspect of the present disclosure includes: a receiving section that receives configuration information not including spatial relation information and indicating a physical uplink control channel (PUCCH) resource having a lowest ID; and a control section that controls reception of a physical uplink shared channel (PUSCH) scheduled using downlink control information (DCI) format 0_0.

The invention relates to the technical field of wireless communication, and particularly discloses a high-voltage transformer remote metering monitoring system based on 5G network slicing, which senses network performance in real time by constructing a multi-dimensional network state matrix, performs path rehearsal and resource allocation calculation by using a digital twinning technology, and realizes remote metering monitoring of a high-voltage transformer. Generating a candidate transmission path set with optimal time delay consistency and a corresponding wireless resource block allocation scheme; calculating a path resource allocation factor and combining with network load prediction to generate an optimal resource scheduling strategy; and finally, converting the strategy into a specific network control instruction, establishing a special transmission channel with deterministic service quality, and implementing real-time monitoring and maintenance.

The invention discloses a sparse interaction beam prediction method fusing perception and communication. The method comprises the following steps: acquiring and preprocessing multi-modal sensing data; feature extraction is carried out on the preprocessed multi-modal sensing data; introducing a learnable potential vector by adopting a Perceeiver-Transform structure, and carrying out cross attention interaction on the learnable potential vector and the spliced sequence, so as to obtain a multi-modal fusion feature; and mapping the multi-modal fusion features to a millimeter wave beam space through a beam domain projection mechanism, generating probability distribution of the beam space, and outputting a predicted optimal beam according to the probability distribution. According to the method, the learnable potential vectors are adopted, sparse interaction and efficient fusion of the multi-modal fusion features are achieved, the sensing features are mapped to the millimeter wave beam space through a beam domain projection mechanism, the calculation amount is reduced, the robustness and prediction precision are improved, and the method is suitable for large-scale popularization and application. And the method is suitable for millimeter wave communication systems in low-altitude unmanned aerial vehicles, Internet of Vehicles and high-dynamic environments.

A method for managing spectrum allocation in a heterogeneous wireless communication network includes employing artificial intelligence (AI) to predict interference between users and services; andadjusting spectrum allocations for users and services in the network based on the interference predictions to minimize interference.

The invention discloses an in-orbit pointing deviation correction method for a two-dimensional mechanical antenna oriented to a panel satellite spot beam. The method comprises the following steps: acquiring an azimuth angle, a pitch angle and telemetry information of an antenna pointing to a ground station in real time in an in-orbit manner; reversely calculating a gain difference value between the actual signal and the theoretical signal; judging whether the gain difference meets the pointing precision requirement or not, and if not, inversely calculating the deviation angle of the actual pointing vector and the theoretical pointing vector and the actual pointing vector; a Gauss-Newton method is adopted to solve an optimal theoretical pointing vector; resolving an installation matrix pointed by the matching theory and adjusting an antenna installation matrix; and repeating the steps to form a closed loop until the gain difference meets the precision requirement. According to the method, three-dimensional installation matrix correction is adopted to replace traditional zero correction, closed-loop feedback and nonlinear optimization are combined, multi-source error high-precision compensation is achieved, the engineering feasibility is high, the in-orbit multi-satellite batch correction requirement of the panel satellite is met, and the communication system reliability and the data transmission rate are remarkably improved.

The present disclosure relates to: a communication technique that integrates a 5G communication system for supporting a higher data transmission rate than a 4G system with IoT technology; and a system therefor. The present disclosure may be applied to intelligent services (for example, smart homes, smart buildings, smart cities, smart cars or connected cars, healthcare, digital education, retail business, security and safety-related services, etc.) on the basis of 5G communication technology and IoT-related technology. The present disclosure discloses a method and device for measurement setup and reporting for inter-cell movement.

The invention belongs to the technical field of wireless positioning, and discloses a non-line-of-sight interference-resistant dynamic positioning method and a base station layout method for positioning. Comprising the following steps: calculating original distance measurement results of each initial base station in a label and a sub-region, obtaining current shielding probability and current signal intensity of the initial base station and current geometric accuracy factors of different initial base station combinations in an initial base station set, selecting candidate base stations, calculating information gain of each candidate base station pair, and obtaining the information gain of each candidate base station pair; selecting candidate base stations with information gains meeting preset requirements to construct a target base station subset, inputting an original ranging result of the target base station subset into a Kalman filter based on a motion state space model for processing, and compensating an NLOS time delay error through a sliding window mean value to obtain a positioning result of a label and an NLOS time delay error estimation value, the problem that the positioning result is not accurate enough in a complex environment is solved.

A method can include transmitting, by a wireless device and for a beam failure recovery (BFR) of a cell, a random access preamble with multiple spatial filters. The method can also include receiving a message corresponding to the random access preamble. The message indicates a spatial filter of the multiple spatial filters. The method can further include transmitting, after a number of symbols from completion of the BFR, an uplink signal with the spatial filter indicated by the message.

The invention discloses an unmanned aerial vehicle inspection system prototype verification method and system based on low orbit satellite communication, and the method comprises the steps: collecting complex terrain parameters, building an end edge cloud satellite full-link basic environment, and outputting deployment topology and environment features; verifying plug and play and fault self-recovery of the heterogeneous terminal, and outputting an anti-interference communication baseline; quantizing link performance of satellite-ground communication in an extreme scene, and outputting link performance quality; checking the reliability of the most core data uploading and instruction downlink performance of the system; a communication capability and an interaction function are integrated, and the unattended closed-loop mode response capability executed by the satellite return cloud analysis terminal is tested; and injecting a multi-mode failure scene and a limit load, verifying the survivability and the security boundary of the whole link, and outputting a verification report. According to the invention, through a multi-dimensional verification process, the cooperative work reliability of the remote intelligent inspection terminal and the low-orbit satellite communication system is ensured, and the effectiveness of a closed-loop inspection mode in a complex scene is verified.