61 results about "Spectrum occupancy" patented technology

Flexible scheduling, self-healing, high-utilization strong stability for cellular network communications are discussed. Cellular network communication settings and strategies are developed with communication interval, transmit power data rate, channel delay, spectrum occupancy, source coding, receiving sensitivity, channel coding, signal-to-noise ratio, packet loss rate, channel occupancy rate, reception frequencies frequency band size of data package transmission frequencies, data package structure, modulation scheme, information coding scheme, antenna configuration.

The invention relates to the technical field of the Internet of Things, in particular to an intelligent device communication method and system based on the Internet of Things. The method comprises the following steps: acquiring spectrum occupation data, electromagnetic interference mode data and terminal equipment energy state data of a plurality of communication channels in an industrial environment through a preset distributed spectrum sensing network; performing adaptive spectrum analysis processing on the spectrum occupancy data and the electromagnetic interference mode data to obtain channel quality evaluation data including interference source characteristics and channel attenuation characteristics; and according to the channel quality evaluation data and a pre-acquired historical channel performance memory bank, performing priority ranking on the available communication channels to obtain dynamic channel priority data based on time continuity. The spectrum resource allocation condition in the industrial environment is monitored in real time through the distributed spectrum sensing network, the current interference can be identified, and the interference can be pre-judged through an advanced prediction model.

The invention discloses a wireless spectrum intelligent allocation and edge computing cooperation method, which relates to the technical field of mobile edge computing and wireless communication, and comprises the following steps: acquiring spectrum occupation data and service load data; constructing a spectrum resource allocation matrix according to the spectrum occupation data, and constructing an edge computing resource allocation matrix based on the service load data; and inputting the spectrum resource allocation matrix and the edge computing resource allocation matrix into a trained deep reinforcement learning model, outputting a joint optimization strategy, and performing collaborative scheduling of spectrum resources and computing tasks through a bidirectional matching algorithm. According to the invention, a multi-dimensional resource data acquisition mechanism is established, so that real-time monitoring and evaluation of a network resource state are realized; quantitative expression and association mapping of heterogeneous resource characteristics are realized by constructing a mathematical model of a spectrum resource allocation matrix and an edge computing resource allocation matrix; a deep reinforcement learning model is adopted for strategy optimization, and the limitation of a traditional fixed rule algorithm is overcome.

The invention relates to the technical field of data fusion transmission, and provides a heterogeneous data fusion transmission method and system for airborne multimode satellite communication. Acquiring real-time communication parameters including a dynamic spectrum occupancy state, a polarization direction difference and a hidden transmission demand level; generating a dynamic frequency hopping control instruction based on the time-varying characteristic of the dynamic spectrum occupancy state, driving carrier switching and reserving a spectrum isolation area between adjacent carriers; performing orthogonal polarization diversity analysis on the carrier switching result based on the polarization direction difference, suppressing cross polarization interference and outputting multiple paths of baseband signals; calling a preset waveform parameter library according to the hidden demand level to determine a modulation parameter, and loading the baseband signal to the asymmetric phase subcarrier to generate a hidden modulation waveform; and fusing the frequency hopping instruction and the hidden modulation waveform to generate a cooperative modulation instruction, and controlling the radio frequency unit to realize anti-interference fusion transmission. According to the technical scheme provided by the invention, the anti-interference capability of fusion transmission of multi-mode satellite data in a dynamic spectrum environment is improved.

The invention relates to the technical field of artificial intelligence, and discloses a 6G network frequency spectrum management system and method based on artificial intelligence enhancement, and the system comprises a frequency spectrum data collection module, a frequency spectrum situation map generation module, a task priority determination module, a dynamic frequency spectrum distribution module, and a frequency spectrum management state determination module. The method comprises the following steps: carrying out multi-dimensional division on a 6G network global region, collecting task spectrum data of each 6G network in a local region, carrying out data enhancement processing to determine spectrum occupation and idle resources, and generating a spectrum situation map; identifying task features to determine priorities, monitoring task traffic in real time to determine target spectrum resources, and performing dynamic spectrum allocation; and recovering spectrum resource reallocation according to the task termination time, updating the spectrum situation map, and determining the 6G network spectrum management state from multi-dimensional evaluation. According to the invention, the spectrum utilization efficiency during network spectrum management can be improved.

The invention discloses a wireless audio frequency band conflict avoidance method in a high-density and high-intensity electromagnetic environment, and the method comprises the steps: monitoring the signal intensity, the frequency band occupation condition and an interference source in the electromagnetic environment in real time, and carrying out the measurement of the signal intensity through a spectrum analyzer or a radio frequency detector; intelligent prediction and dynamic sensing are performed on the spectrum occupation condition by combining a machine learning algorithm, so that the frequency band of audio signal transmission is adjusted in real time, and the current idle frequency band with less interference is dynamically selected for audio transmission based on a spectrum sensing result, so that the conflict with the frequency bands of other equipment is avoided. Through the intelligent spectrum sensing technology, the spectrum use condition in the electromagnetic environment is monitored in real time, frequency band conflicts and interference sources can be efficiently and accurately found, smooth audio data transmission is ensured, transmission delay caused by the frequency band conflicts can be effectively reduced through dynamic frequency band selection and a rapid switching mechanism, and the low delay requirement of real-time audio transmission is ensured.

Disclosed is an optimization method for resource allocation in a perception-enhanced cognitive radio network based on an IRS (intelligent reflecting surface). The method includes: acquiring BS (base station)-to-IRS and IRS-to-user channel state information; defining diagonal phase-shift matrices of the IRS in perception stage and transmission stage, and establishing an optimization model according to the channel state information; using the optimization model to optimize that the diagonal phase-shift matrix of the IRS in the perception stage assists the secondary base station (SBS) in perceiving a spectrum occupancy of a primary network; entering the transmission stage, and using the optimization model to optimize beamforming vectors of the SBS and the diagonal phase-shift matrices of the IRS in the transmission stage in the case of different perception results; transmitting transmission information according to optimization results to achieve an improvement in a spectrum efficiency of a system when constraints interfere with primary users.

The invention discloses a communication network bandwidth resource visualized dynamic allocation method and system based on an SDN, and relates to the technical field of communication networks, and the method comprises the steps: obtaining the channel interference intensity, the spectrum occupancy rate and the service flow priority data of each node in a wireless network based on a southbound interface of an SDN controller, and obtaining the channel interference intensity, the spectrum occupancy rate and the service flow priority data of each node through a channel resource dynamic allocation table; generating a multi-dimensional resource view; according to the multi-dimensional resource view, multi-level coverage domains of the wireless network are divided, the service load level of each coverage domain is identified, and a pre-allocation scheme of cross-domain bandwidth resources is generated; and executing a pre-allocation scheme of cross-domain bandwidth resources by using a northbound interface of the SDN controller, and adjusting bandwidth allocation parameters of each coverage domain. According to the invention, visual monitoring, accurate division and flexible scheduling of the network resource state are realized, and the utilization efficiency of network bandwidth resources is remarkably improved.

The invention provides a ground satellite signal distributed cooperative processing method and system, and relates to the technical field of communication, and the method comprises the steps: extracting a user MAC address hash value, an emergency priority code and a spectrum occupancy matrix from a synchronous network, and generating a triple feature vector; transmitting the triple feature vectors through a double-layer Mesh network, selecting two reference target points with fixed geographic coordinates on the ground of the disaster area, obtaining three-dimensional coordinates of the reference target points, and constructing a space reference straight line; according to the real-time position data of each node, calculating a vertical projection distance from each node to the space reference straight line, and generating a node offset parameter; and dynamically generating a refraction correction coefficient of the signal propagation path based on a comparison result of the node offset parameter and a preset threshold value, and when the offset exceeds the threshold value, increasing a correction weight by adopting a piecewise linear interpolation method. According to the invention, high-reliability and low-delay emergency communication coverage can be realized.

The invention relates to a spectrum occupancy rate calculation method based on full-band spectrum data, and belongs to the field of radio signal spectrum analysis. According to the invention, based on full-band spectrum data at the same sampling time, frequency band division is carried out, and a full-band signal is divided into a plurality of sub-bands; calculating level thresholds of all sub-bands based on the full-band spectrum data at the primary sampling moment; and estimating the occupancy rate based on the frequency band spectrum data at different sampling moments within the measurement time. According to the method, a plurality of interval thresholds in each sub-band are obtained by means of the histogram, the between-class variance and the like, the method can be used for an abnormal electromagnetic signal monitoring scene, the abnormal signal alarm false alarm rate is further reduced, and the electromagnetic space safety supervision capability is improved.

The invention provides an intelligent spectrum allocation method and system for a self-adaptive signal-to-noise ratio of a C + L optical network, and relates to the technical field of optical fiber communication, and the method comprises the steps: initializing a C + L wave band elastic optical network, and determining nodes, links, spectrum slots and time slot resources; receiving a service request, and defining a source node, a destination node, time slot requirements and capacities; calculating a link weight according to a transmission distance and spectrum occupation, and selecting an optimal path; determining a modulation format according to the path distance, and calculating a required spectrum gap; high-order modulation is allocated to a C wave band, and low-order modulation is allocated to an L wave band; ensuring that spectrum slots are continuous and links are consistent, otherwise, the request fails; and selecting the spectrum block distribution with the highest OSNR, comparing the OSNR with a threshold value, and determining whether the request is successful or not. According to the invention, the transmission quality of the service request is improved, and resource allocation can be carried out more comprehensively and accurately.

The invention discloses a sub-Nyquist joint broadband spectrum sensing and automatic modulation classification method based on deep learning. The method comprises the following steps: generating a generation data set for joint broadband spectrum sensing and automatic modulation classification; the method comprises the following steps: modeling a cognitive wireless network combined broadband spectrum sensing and automatic modulation classification system, and carrying out multi-coset preprocessing and analog low-pass filtering on a signal received by a cognitive wireless end; constructing a broadband spectrum sensing and automatic modulation classification neural network and training a model; and the local client combines the off-line broadband spectrum sensing training model and the off-line automatic modulation classification training model to online predict the spectrum occupation condition of the broadband signal and the modulation type of each occupied sub-band signal. According to the method, organic fusion of spectrum detection and modulation identification is realized, the processing efficiency and the intelligent degree of the system are remarkably improved, and the method has good robustness and high accuracy and is particularly suitable for a joint identification task of a multi-user broadband communication signal in a dynamic electromagnetic environment.

The invention discloses a multi-band electromagnetic compatibility evaluation method and system in a combat scene, and the method comprises the steps: calculating the spectrum occupancy probability distribution of an enemy through constructing a spectrum occupancy probability model in a non-cooperative confrontation environment; establishing a multi-band electromagnetic compatibility matrix, and calculating an optimal spectrum allocation scheme by applying a dynamic spectrum allocation algorithm; calculating the overall electromagnetic compatibility of the system based on the compatibility score of the equipment and the frequency band and the frequency spectrum occupation risk of the enemy; according to the electromagnetic environment change threshold value, the spectrum occupancy probability model is updated regularly, and dynamic evaluation of the multi-band electromagnetic compatibility is achieved; according to the invention, under the condition of non-cooperative spectrum sharing, mutual interference between our equipment and enemy spectrum occupation risks are comprehensively considered, real-time dynamic evaluation of electromagnetic compatibility in a combat scene is realized, and effective support is provided for battlefield spectrum resource management and command decision.

The invention relates to a spectrum occupancy identification and ad hoc network optimization method and device, and belongs to the technical field of wireless networks, and the method comprises the steps: carrying out the grid management of a wireless network in which the spectrum occupancy is to be identified; judging the size of the interference range of the wireless network and a preset range; if the judgment result is that the interference range of the wireless network is smaller than the preset range, constructing a Markov prediction model to predict a spectrum occupation probability for each grid; if the judgment result is that the interference range of the wireless network is greater than or equal to the preset range, constructing a spectrum occupancy probability corresponding to each grid by an Ising prediction model; when the network environment is abnormal, performing self-organizing in a wireless network grid by adopting a random domain mode to obtain a to-be-optimized self-organized network; determining the average delay and network jitter times of the to-be-optimized ad hoc network; and screening the to-be-optimized ad hoc network according to the average delay and the network jitter times. According to the invention, the problems of low frequency spectrum occupation identification efficiency and poor ad hoc network performance are solved.

The invention relates to a spectrum sensing system and method for a discrete shared frequency band, and belongs to the technical field of wireless communication. The system comprises a base station, an edge computing device and a plurality of sensing terminals, the plurality of sensing terminals collect spectrum data, perform spectrum sensing and send sensing results to the base station, and the base station forwards the sensing results to the edge computing device for fusion processing of the plurality of sensing results. And the edge computing device fuses the plurality of sensing results, predicts the spectrum occupation condition of a plurality of subsequent time steps through a pre-trained binary prediction model, and sends a spectrum prediction result to the base station, and the base station screens idle spectrum frequency points according to the spectrum prediction result to communicate with the sensing terminal. According to the method, discrete shared frequency band sensing is carried out based on the system, and the method can adapt to the conditions that the signal coverage range of discrete frequency bands is wide, an unknown communication system exists and real-time spectrum analysis is needed.

A virtual fiber communication system includes a central cloud server that obtains telemetry information from network nodes of wireless backhaul mesh network. The telemetry information includes spectrum occupancy information and UE positioning information. The central cloud server obtains, via blockchain-based spectrum broker nodes, frequency spectrum availability metadata and custom-defined spectrum access parameters of spectrum owner nodes. The central cloud server detects spectrum availability variations across network nodes and determines different routing paths for the first type of UEs designated as premium users. Based on the detected spectrum availability variations across the network nodes and the determined different routing paths, control signals are generated and communicated to the network nodes to assign data streams onto rented or leased spectrum frequencies. One of the determined routing paths is selected for delivery of the data streams to the first type of UEs to meet the custom-defined spectrum access parameters.

The present invention provides a time-frequency synchronization method and apparatus applicable to DRM, belonging to the field of communication technologies. The method includes: determining the robust mode and the symbol coarse timing starting point of the received DRM signal; estimating and compensating the fractional frequency offset at the symbol coarse timing starting point; determining the transmission frame coarse starting point according to the time pilot signal; estimating and compensating the integer frequency offset at the transmission frame coarse starting point by using the time pilot; estimating the precise transmission frame starting point by using the gain pilot; and estimating and compensating the precise fractional frequency offset at the precise transmission frame starting point by using the gain pilot. The present invention is applicable to various robust modes and spectrum occupancy situations of DRM. Its synchronization performance is not affected by the initial frequency offset. By continuously tracking the symbol timing offset and carrier frequency offset to reduce ISI and ICI, it has the advantages of high precision, good robustness, simple process, and being suitable for transplantation to a hardware system.

The present disclosure generally relates to generation of AFDM signals. An apparatus for obtaining a first pilot sequence comprising a set of pilot symbols and obtaining a plurality of chirp signals. The number of the chirp signals is equal to the sequence length of the first pilot frequency sequence. The apparatus is configured to generate a second pilot sequence based on a linear combination of the plurality of chirp signals, where a set of the pilot symbols of the first sequence is used as a linear combination coefficient. In this way, the second pilot sequence is bandwidth controllable, and spectrum shaping may be performed to fit a target spectrum occupancy. Furthermore, in order to ensure that both the pilot sequence and the data sequence can be spectrally shaped to fit the target spectrum occupancy, the data symbols of the data sequence can be pre-coded using IDFT or DAFT, where the specific input symbols are set to zero (zeroing).

Methods, devices, and system for Enhanced Wideband HF data transmission with adaptive interference avoidance and other improvements. Several embodiments describe a mesh network comprising a plurality of transmitting and receiving nodes in a congested band. The network senses the interference spectrum occupancies at a plurality of receiver nodes and synthesizes transmit waveforms at the transmit nodes so that the spectra of the transmit signals fit into the gaps of the interference spectra at the receiver nodes. The waveform is based on FDM, including OFDM, with adaptive tone suppression at the transmitter. The spectrum occupancy information at each node is continually shared in the background among all nodes using a low data rate, Fountain code with erasure sensing at the receivers, which guarantees robust delivery.

This invention provides an intelligent spectrum allocation method and system for adaptive signal-to-noise ratio (SNR) in C+L band optical networks, relating to the field of optical fiber communication technology. The method includes: initializing the C+L band elastic optical network and determining nodes, links, spectrum slots, and time slot resources; receiving service requests and clarifying the source node, destination node, time slot requirements, and capacity; calculating link weights based on transmission distance and spectrum occupancy, and selecting the optimal path; determining the modulation format based on path distance and calculating the required spectrum slots; allocating higher-order modulation to the C band and lower-order modulation to the L band; ensuring continuous spectrum slots and consistent links, otherwise the request fails; selecting the spectrum block with the highest OSNR for allocation, comparing the OSNR with a threshold, and determining whether the request is successful. This invention improves the transmission quality of service requests and enables more comprehensive and accurate resource allocation.

The invention relates to a frequency spectrum occupancy rate calculation method based on a dynamic double-threshold level, and belongs to the field of radio monitoring. The receiver monitors the power of a radio signal of a tested frequency band at a tested place for a long time; continuously acquiring environmental noise samples through a noise sampling channel, and continuously updating background noise features by adopting a sliding window real-time sampling technology; based on a noise baseline, introducing a hysteresis comparison principle, generating a high threshold and a low threshold, and calculating a dynamic double-threshold value; a hysteresis comparison thought is introduced, and a high-low double-threshold judgment mechanism is established; when the signal is between the double thresholds, secondary verification is started, a secondary verification program comprises time domain feature analysis on the signal so as to effectively distinguish weak signals from noise fluctuation, and the misjudgment probability is reduced; and performing statistics on energy of the target frequency band signal within a certain time, and performing signal identification and occupancy rate calculation based on the signal energy and double thresholds. According to the invention, the frequency spectrum occupancy rate measurement accuracy can be effectively improved.

The present application relates to a kind of spectrum occupation degree calculation method based on full-band spectrum data, belong to radio signal spectrum analysis field.The present application is based on the full-band spectrum data of same sampling time, and the full-band signal is divided into several sub-bands;Based on the full-band spectrum data of once sampling time, the level threshold of all sub-bands is calculated;Based on the spectrum data of different sampling time in measurement time, the occupation degree is estimated.The present application obtains multiple interval threshold values in each sub-band by histogram, interclass variance and other means, which can be used in abnormal electromagnetic signal monitoring scene, further reduces the false alarm rate of abnormal signal alarm, and improves electromagnetic space safety supervision ability.

The invention relates to a frequency spectrum prediction method based on a time sequence knowledge graph under a satellite-ground convergence network, and belongs to the field of wireless communication. The method comprises the following steps: S1, constructing a time sequence knowledge graph of the satellite-ground fusion network; s2, discretizing the time information to form a time interval set; s3, performing neighbor aggregation on nodes in the graph based on a structure attention mechanism to obtain structure-enhanced node embedding representation; s4, constructing a time hyperplane set, and calculating the weight of each time hyperplane based on a time attention mechanism; s5, performing weighted fusion on the plurality of time hyperplanes to generate a time attention weighted hyperplane; s6, projecting the structure enhanced node representation to a time attention weighted hyperplane to perform spectrum relation modeling; and S7, outputting a spectrum occupancy prediction result in the target time period. According to the method, the time sequence knowledge graph of the satellite-ground fusion network is constructed, and a structure attention mechanism and a time attention hyperplane mechanism are introduced, so that accurate prediction of the spectrum occupancy state is realized, a time interval with key influence on spectrum prediction can be highlighted, and the accuracy and reliability of spectrum prediction in the satellite-ground fusion network are improved; and technical support is provided for spectrum resource scheduling and sharing.

The present application relates to a kind of discrete shared frequency band spectrum sensing system and method, belong to wireless communication technical field.The system includes base station, edge computing device and several sensing terminals, multiple sensing terminals collect spectrum data and carry out spectrum sensing, and sensing result is sent to base station, and base station forwards sensing result to edge computing device and carries out multiple sensing result fusion processing, and edge computing device is fused after multiple sensing results by a pre-trained binary prediction model Prediction of subsequent multiple time steps of spectrum occupation, and spectrum prediction result is sent to base station, and base station filters idle spectrum frequency point according to spectrum prediction result and carries out communication with sensing terminal.The method is based on the system and carries out discrete shared frequency band sensing, can adapt to the signal coverage range of discrete frequency band, unknown communication system exists and needs real-time spectrum analysis.

The present disclosure relates to a spectrum occupancy prediction, which employs a first trainable module and a second trainable module. The first and the second trainable modules predict spectrum occupancy at a respective first and second communication devices based on past occupancies and / or occupancies in adjacent subband(s). The prediction from the first trainable module and the second trainable module is input to a trainable output (third) module, which then provides the spectrum occupancy prediction.

The invention discloses a multi-channel integrated radio frequency system and a dynamic digital channelization method. The system comprises a plurality of groups of radio frequency front ends and antenna units which are used for sampling signals of different working frequency bands; the digital channel processing unit is used for performing down-sampling and frequency deviation on the broadband signal to form a plurality of narrowband channels; the digital signal parallel processing unit is used for carrying out parallel processing on the digital signals of the plurality of narrowband channels; the spectrum sensing unit is used for performing real-time spectrum detection and channel interference detection and judging a spectrum occupation condition and a spectrum hole; the frequency spectrum decision-making unit is used for carrying out fusion detection judgment, judging the availability of a specific narrowband channel in the whole data link network communication system, and aggregating available channels to form a continuous or discontinuous available frequency spectrum; and the spectrum aggregation and channelization reconstruction unit is used for dividing a plurality of sub-bands, analyzing and filtering by adopting a comprehensive filter bank or a cosine modulation filter bank, and carrying out channel reconstruction. And the purpose of simultaneously resisting partial frequency band blocking interference and narrowband comb spectrum interference can be achieved.

The invention relates to a device, a method and a medium in a spectrum sharing system. There is provided an electronic device comprising processing circuitry configured to: receive a spectrum request from a spectrum request system; and sending heartbeat interval information to the spectrum request system, the heartbeat interval information indicating a heartbeat interval for the spectrum request system to send a heartbeat request, the heartbeat interval information being the shortest spectrum occupancy time predicted based on the spectrum usage data of the spectrum request system.

The present invention provides a metasurface direct modulation MIMO transmitter with out-of-band radiation suppression capability, comprising a digital baseband signal module, a digital-to-analog converter, a radio frequency local oscillator module, a mixer, a horn antenna, and an M×N unit metasurface. The present invention utilizes the digital baseband signal module to map M×N user signals into M×N independent control signals, independently controls the phases of the M×N metasurface units, and transmits information through the phases of the reflected or transmitted waves. The digital baseband signal module generates a periodic time-domain window function waveform that is synchronized with the control signal symbol period. After passing through the digital-to-analog converter, the waveform is mixed with the carrier of the radio frequency local oscillator module and then incident on the metasurface, achieving the purpose of suppressing the out-of-band radiation of the modulation symbol. The metasurface direct modulation MIMO transmitter of the present invention can effectively suppress the out-of-band radiation of the directly modulated symbol through the window function envelope, reduce the spectrum occupancy of the transmitter, and reduce interference to other communication systems.

The present application discloses a method, system and electronic device for coordinating interference. The method includes: detecting the real-time trajectory of a first low earth orbit satellite, wherein the first low earth orbit satellite is used to transmit data; sending an assist sensing instruction to a second low earth orbit satellite when it is detected that the first low earth orbit satellite is operating in an interference area where interference exists with a geostationary orbit satellite; receiving the sensing result returned by the second low earth orbit satellite, wherein the second low earth orbit satellite is used to perform spectrum sensing on the spectrum occupancy status of the geostationary orbit satellite to generate a sensing result; determining the operating state of the first low earth orbit satellite based on the sensing result, wherein the operating state at least includes: the transmission power of the first low earth orbit satellite. The present application solves the technical problem that the overall performance is poor due to the low frequency resource utilization and throughput of satellites in the related technology, and the mutual interference of signals between satellites.