54 results about "Cognitive communication" patented technology

In a method of cognitive communication for non-interfering transmission, wherein the improvement comprises the step of conducting radio scene analysis to find not just the spectrum holes or White spaces; but also to use the signal classification, machine learning and prediction information to learn more things about the existing signals and its underlying protocols, to find the Gray space, hence utilizing the signal space, consisting of space, time, frequency (spectrum), code and location more efficiently.In a method of cognitive jamming where smart and energy efficient jamming techniques are suggested based on sensing, classification and machine learning of the existing signals.

In a method of cognitive communication a system for generating non-interfering transmission, includes conducting radio scene analysis to find grey space using external signal parameters for incoming signal analysis without having to decode incoming signals.

A method, an apparatus, and a computer program for performing cognitive communications in a radio environment are presented. First, a radio communication device estimates a time-varying interference environment in a radio communication channel. On the basis of the estimation, a future interference environment is predicted from time-varying characteristics of the estimated interference. Upon predicting the future interference environment, a radio transmitter is configured to apply transmission parameters to be used in a future transmission time instant for which the interference environment has been predicted. As a consequence, the transmission parameters are selected proactively to match with the predicted interference environment. The transmission parameters may be configured as time-variant.

Object: To provide a mechanism and a function of a system that can determine a communication method and the like effectively utilizing frequency resources, considering priority of each communication, in a cognitive communication network system of a frequency shared type or the like assuming that a given frequency band is shared by a plurality of systems in use.Solution: In a configuration in which a cognitive communication network system has a plurality of radio access networks 23 and a superior communication network 10 that provides a common platform at least to the radio access networks, in a plurality of base stations 23a on at least a part of the radio access network 23, base-station state obtaining means 232 that collect information relating to a state of the base station itself in the base station or a communication state and base-station communication reconfiguration managing means 231 that reconfigure at least one of either a selection of the base station to be used in the communication or a communication condition in the base station on the basis of the information collected by the base-station state obtaining means are provided.

Various cognitive communications system architectures and their corresponding Protocol Reference Models (PRMs) are disclosed. Such PRMs incorporate a Cognitive Plane in addition to conventional Data and Management Planes. The additional Cognitive Plane functionality may include, for example, spectrum sensing, spectrum management, geolocation, and security functions. The Cognitive Plane may further include a Policy Engine and a Learning and Reasoning Module. In some embodiments, Management Plane functions may be effectively combined to form a database of primitives (and their respective values) called a Management Information Base (MIB). In addition, techniques are provided by which various components of cognitive and non-cognitive, as well as mesh-enabled and non-mesh-enabled nodes in a network, inter-operate with each other. The architectures allow a Spectrum Manager (or Signal Space Manager) to combine information from various network layers (e.g., PHY / MAC Layers, Spectrum Sensing Function, Geolocation Function, and / or Security Sublayers), and to make informed decisions on spectrum utilization.

The invention enables multimodal cognitive communications, collaboration, consultation and instruction between and among heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms during various stages of medical disease management, including detection, diagnosis, prognosis, treatment, measurement, monitoring and reporting. The invention enables both synchronous and asynchronous multiparty collaboration with multichannel, multiplexed streaming imagery data, including interactive curation, multisensory annotation and metadata tagging, as well as multi-formatted encapsulation, saving and sharing of collaborated imagery data as packetized augmented intelligence. The invention acquires both live stream and archived medical modality imagery from network-connected medical devices, cameras, signals and sensors, as well as multiomic data [phenotypic, genomic, metabolomic, pathomic, radiomic, radiopathomic and radiogenomic] maps and clinical data sets from structured reports and clinical documents, including biometric maps and movies, hapmaps, heat maps and data stream visualizations. The invention also acquires both medical and non-medical streaming imagery data from image data repositories, documents and structured reports, workstations and mobile devices, as well as from wearable computing, signals and sensors. The invention enables networked teams to interactively communicate, concurrently collaborate and bi-directionally exchange multichannel multiplexed imagery data streams, singly or together, in real time or asynchronously, generally by curating, annotating and tagging imagery information objects. The invention encapsulates and saves collaborated imagery data, together with multisensory annotations and metadata tags, in standard file formats as packetized augmented intelligence. The invention enables recursive cognitive enrichment of clinical cognitive vismemes, and saves packetized imagery information objects, multisensory annotations and metadata tags in native file formats [PDF, MPEG, JPEG, XML, XMPP, QR,TIFF, RDF, RDF / XML, SVG and DAE] as well as in formats compliant with standards for digital communications in medicine [DICOM]. The invention enables live stream multicasting of multimodal cognitive instruction and collaborative knowledge exchange with multisensory [visual, auditory, haptic] annotation of streaming imagery data, as well as secure, encrypted transmission of streaming augmented intelligence across file sharing data networks for informatics-enabled learning, specialist skills acquisition and accelerated knowledge exchange.

The invention integrates emerging applications, tools and techniques for machine learning in medicine with videoconference networking technology in novel business methods that support rapid adaptive learning for medical minds and machines. These methods can leverage domain knowledge and clinical expertise with cognitive collaboration, augmented medical intelligence and cybernetic workflow streams for learning health care systems. The invention enables multimodal cognitive communications, collaboration, consultation and instruction between and among heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms. It provides for both synchronous and asynchronous cognitive collaboration with multichannel, multiplexed imagery data streams during various stages of medical disease and injury management—detection, diagnosis, prognosis, treatment, measurement, monitoring and reporting, as well as workflow optimization with operational analytics for outcomes, performance, results, resource utilization, resource consumption and costs. The invention enables cognitive curation, annotation and tagging, as well as encapsulation, saving and sharing of collaborated imagery data streams as packetized medical intelligence. It can augment packetized medical intelligence through recursive cognitive enrichment, including multimodal annotation and [semantic] metadata tagging with resources consumed and outcomes delivered. Augmented medical intelligence can be saved and stored in multiple formats, as well as retrieved from standards-based repositories. The invention can incorporate and combine various machine learning techniques [e.g., deep, reinforcement and transfer learning, convolutional and recurrent neural networks, LSTM and NLP] to assist in curating, annotating and tagging diagnostic, procedural and evidentiary medical imaging. It also supports real-time, intraoperative imaging analytics for robotic-assisted surgery, as well as other imagery guided interventions. The invention facilitates collaborative precision medicine, and other clinical initiatives designed to reduce the cost of care, with precision diagnosis and precision targeted treatment. Cybernetic workflow streams—cognitive communications, collaboration, consultation and instruction with augmented medical intelligence—enable care delivery teams of medical minds and machines to ‘deliver the right care, for the right patient, at the right time, in the right place’—and deliver that care faster, smarter, safer, more precisely, cheaper and better.

Various cognitive communications system architectures and their corresponding Protocol Reference Models (PRMs) are disclosed. Such PRMs incorporate a Cognitive Plane in addition to conventional Data and Management Planes. The additional Cognitive Plane functionality may include, for example, spectrum sensing, spectrum management, geolocation, and security functions. The Cognitive Plane may further include a Policy Engine and a Learning and Reasoning Module. In some embodiments, Management Plane functions may be effectively combined to form a database of primitives (and their respective values) called a Management Information Base (MIB). In addition, techniques are provided by which various components of cognitive and non-cognitive, as well as mesh-enabled and non-mesh-enabled nodes in a network, inter-operate with each other. The architectures allow a Spectrum Manager (or Signal Space Manager) to combine information from various network layers (e.g., PHY / MAC Layers, Spectrum Sensing Function, Geolocation Function, and / or Security Sublayers), and to make informed decisions on spectrum utilization.

The integrated, multiple independent, simultaneous signal software defined radio system architecture of this invention is suitable for many new very-low latency, software defined radio applications, both cognitive and conventional, including: communications networks, electronic warfare, surveillance and radar. The system supports multiple operations, locally controlled or remotely controlled, with simultaneous signals prosecutions and anti-jam system-to-system networking. New cognitive waveforms are defined that simultaneously seek to maximize data throughput in arbitrary spectral environments, while normally avoiding interference with current and new arbitrary signal occurrences. The cognitive radio system has the capability to continuously receive and process all the ongoing signals present in a wideband frequency block, including the recognition / characterization of all signals and the recovery of multiple desired signals, and then rapidly respond by transmitting as appropriate, multi-carrier, modulated signals. The present invention uses massively-parallel fixed tuned receive channelization, along with massively parallel digital signal processing and software generated, multi-modulated RF signals, to provide a system that is fast enough to cognitively manage the ongoing operation of multiple signals, multiple frequencies, and multiple operations, all simultaneously.

The present invention discloses a combined interference method and system based on spectrum sensing and modulation identification, which combines cognitive radio spectrum sensing with modulation identification, and is applied to interference communication. Interference sensing is carried out for establishing an external link, and communication interference is also carried out on an external communication link that has been linked. Link information is transmitted for our cognitive communication system while interfering, thereby realizing an effective anti-interference strategy for us.

The invention discloses a vehicular communication method and system with a cognitive function. The system comprises more than two cognitive users and a roadside unit. Each cognitive user comprises a cognitive center processor, a cognitive communication device, a base station communication device, a base station center processor, a control center, a radio frequency front end, a baseband processing module and a vehicular unit. According to the method and the system, DSRC (Dedicated Short Range Communication) and cognitive radio are combined and are applied to vehicular communication; a licensed band can be employed when the DSRC licensed band is idle, and the cognitive function can be started when the licensed band is busy; the employing condition of a band of a residential area DVB-T can be detected and utilized, and the spectrum efficiency is effectively improved.

The invention relates to a passive cooperative spectrum sensing method in multi-user cognitive radio network. According to the method, on the basis of spectrum detection based on energy, the cognitive communication mode of sensing first and communication later is converted into the mode of communication first and sensing service compensation later, the following problems in the communication process of cognitive radio are optimized: (1) the spectrum sensing time before communication of secondary user is eliminated, the spectrum sensing work is carried out after the communication is ended, the overall delay between 'requiring communication' and 'being capable of communication' is shortened, and the efficiency of spectrum detection is greatly improved; (2) the shortening of the overall delay is capable of further reducing the amount of master users appearing in the sensing time delay, and the interference with the master users is reduced; (3) only the secondary users in communication are required to carry out spectrum sensing and the secondary users in the whole network are not required to carry out sensing so that the network energy consumption is reduced; and (4) who senses who communicates accords with equity principle, no communication is avoided but the collision to the cognitive radio by sensing users is required.

The invention discloses a robust wave beam forming method in a multi-antenna multi-user relay cognitive radio network, relating to the technical field of wireless communication. Aiming at the condition that the cognitive radio network channel information has uncertainty, a robust linear wave beam forming method of a cognitive base station and a cognitive relay is designed, interference from or to a main user is suppressed and eliminated, and maximization of weighting rate of a plurality of receiving end users in the cognitive radio network under the most severe condition of the channel is ensured. The invention has the advantages and the characteristics that aiming at a relay-based multi-user multi-antenna complex cognitive communication network that has uncertainty of channel information, the method can be used for effectively simplifying the complex problem needing being solved into a problem capable of being rapidly calculated, therefore, a wave beam forming parameter is rapidly designed, and optimal communication is realized by the relay-based multi-user multi-antenna cognitive radio network under the condition that channel information is incompletely known.

The invention discloses a cognitive communication physical layer secure energy efficiency optimization method based on artificial noises. A cognitive base station carries out joint design of secret signals and the artificial noises according to channel state information between the cognitive base station and a cognitive user; and through optimization of power allocation of the secret signals and the artificial noises, on the basis of ensuring a secure transmission rate, the secure transmission energy efficiency of a cognitive network is maximized. According to the method, a double-layer optimization algorithm is designed; an external layer optimization problem is solved through one-dimensional search; an internal layer optimization problem is solved through converting a fractional form into a subtractive form; and compared with a traditional average power allocation scheme, the method has the advantage of clearly improving the energy efficiency of a cognitive communication system.

The present invention is a method for tactical spectrum harvesting via a cognitive communication device. The method may include monitoring a wireless communication frequency spectrum. The method may further include detecting active net communication transmissions. The active net communication transmissions may be transmitted via the monitored communication frequency spectrum by a plurality of active transmitting nets. The method may further include determining an identity of / identifying at least one active transmitting net included in the plurality of active transmitting nets. The method may further include synchronizing an internal time reference of the cognitive communication device with a time reference(s) of the identified active transmitting net(s). The method may further include determining an estimated future spectral occupancy for the identified active transmitting net(s) based on time data for the active net communication transmissions, cryptographic key data for the active transmitting nets, and algorithm data for the active transmitting nets.

The invention integrates emerging applications, tools and techniques for machine learning in medicine with videoconference networking technology in novel business methods that support rapid adaptive learning for medical minds and machines. These methods can leverage domain knowledge and clinical expertise with cognitive collaboration, augmented medical intelligence and cybernetic workflow streams for learning health care systems. The invention enables multimodal cognitive communications, collaboration, consultation and instruction between and among cognitive collaborants, including heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms. It provides for both synchronous and asynchronous cognitive collaboration with multichannel, multiplexed imagery data streams during various stages of medical disease and injury management—detection, diagnosis, prognosis, treatment, measurement and monitoring, as well as resource utilization and outcomes reporting. The invention acquires both live stream and archived medical imagery data from network-connected medical devices, cameras, signals, sensors and imagery data repositories, as well as multiomic data sets from structured reports and clinical documents. It enables cognitive curation, annotation and tagging, as well as encapsulation, saving and sharing of collaborated imagery data streams as packetized medical intelligence. The invention augments packetized medical intelligence through recursive cognitive enrichment, including multimodal annotation and [semantic] metadata tagging with resources consumed and outcomes delivered. Augmented medical intelligence can be saved and stored in multiple formats, as well as retrieved from standards-based repositories. The invention provides neurosynaptic network connectivity for medical images and video with multi-channel, multiplexed gateway streamer servers that can be configured to support workflow orchestration across the enterprise—on platform, federated or cloud data architectures, including ecosystem partners. It also supports novel methods for managing augmented medical intelligence with networked metadata repositories [inclduing imagery data streams annotated with semantic metadata]. The invention helps prepare streaming imagery data for cognitive enterprise imaging. It can be incorporate and combine various machine learning techniques [e.g., deep, reinforcement and transfer learning, convolutional neural networks and NLP] to assist in curating, annotating and tagging diagnostic, procedural and evidentiary medical imaging. It also supports real-time, intraoperative imaging analytics for robotic-assisted surgery, as well as other imagery guided interventions. The invention facilitates collaborative precision medicine, and other clinical initiatives designed to reduce the cost of care, with precision diagnosis [e.g., integrated in vivo, in vitro, in silico] and precision targeted treatment [e.g., precision dosing, theranostics, computer-assited surgery]. Cybernetic workflow streams—cognitive communications, collaboration, consultation and instruction with augmented medical intelligence—enable care delivery teams of medical minds and machines to ‘deliver the right care, for the right patient, at the right time, in the right place’ - and deliver that care faster, smarter, safer, more precisely, cheaper and better.

The invention discloses a combined modeling and evaluating method for a spatial frequency domain resource of a cognitive system. The combined modeling and evaluating method for the spatial frequency domain resource of the cognitive system comprises the following steps of: firstly, performing singular value decomposition on acquired cognitive communication and channel matrix information that the cognitive communication interferes with an authorized user; secondly, establishing middle matrixes, and performing orthonormalization on the middle matrixes respectively; thirdly, computing spatial correlation between the cognitive communication and the interference at a cognitive transmitting end and a cognitive receiving end respectively; comprehensively considering a characteristic mode transmission gain of the cognitive communication, and evaluating the quality of the spatial domain resource; and on the basis, performing combined modeling and quality evaluation on the spatial frequency domain resource. On the basis of integrating the spatial correlation and the characteristic mode transmission gain, a wireless resource is modeled and evaluated, so that the wireless resource can be described more accurately, the cognitive system can reasonably select the wireless resource, the utilization ratio of the resource of the system is improved, and the communication performance of the cognitive system is improved.

A communication apparatus, a method, a computer readable medium, and a system providing communication with cognitive and visual assistance. The cognitive assistance and visual assistance is provided during a communication between a first communication apparatus with at least one second communication apparatus via a network. The first communication apparatus captures communication data comprising visual and audio information obtained from the communication and captures synchronized cognitive and emotional data generated from the user during the communication with the second communication apparatus. The communication data and the synchronized cognitive and emotional data is stored and converted into a visual form comprising at least one of synchronized text, symbols, sketches, images, and animation. The visual form is displayed on a display of the first communication apparatus.

The invention discloses a cognitive vehicle-mounted method and system with frequency offset estimation and compensation functions. The system comprises more than one vehicle-mounted cognitive user and a roadside unit arranged on the roadside; each vehicle-mounted cognitive user comprises a cognitive center processor, a cognitive communication machine, a base station communication machine, a base station center processor, a control center, a radio frequency front end, a baseband processing module, a frequency offset correction module and a vehicle-mounted unit. According to the cognitive vehicle-mounted method and system, the cognitive communication and the frequency offset estimation technology are combined and are applied to the vehicle-mounted communication, frequency offset estimation and compensation can be performed on a received signal when the vehicle-mounted cognitive user performs cognitive communication, and thus the communication efficiency is effectively improved.

The invention discloses an intelligent evaluation method and evaluation system for communication obstacles. The method comprises the steps: two-person original electroencephalogram signals are synchronously collected by utilizing online multi-channel electroencephalogram equipment when a object is in a conversation communication scene; and theta and alpha frequency band average instantaneous phases of a specific channel per second and an alpha frequency band energy value of a right side Brudman 45 brain region are obtained based on signal preprocessing, wavelet transform and traceability analysis, and the information migration degree and the perception emotional degree are calculated and used for objective evaluation of individual cognitive communication impairment and emotion communication impairment. According to the method, real-time monitoring and dynamic analysis of a communication process are achieved, a double-person synchronous sampling mechanism is constructed, a comprehensive evaluation strategy is formed from two aspects of cognitive disorder and affective disorder, the problems of post-sampling, high subjective degree, social desirability effect, communication disorder population expression deviation and the like of a traditional measurement means are effectively avoided, and the wide market application prospect is achieved.

The invention discloses a cognitive system frequency spectrum sharing method on the basis of space signal processing, which can be used for a cognitive radio system. The cognitive system frequency spectrum sharing method specifically comprises the following process that: firstly, transceiving ends of the cognitive system respectively acquire required channel information and construct different matrixes to carry out spacial related degree calculation of the transceiving ends after preprocessing the channel information; then according to the spacial related degrees calculated at the transceiving ends, a CBS (cognitive base station) combines the transmission gain to calculate an airspace resource quality factor; and finally, the CBS completes combined selection of an authorize channel and a characteristic mode according to an airspace resource quality factor calculating result, and after the result is notified to a cognitive user, the transceiving ends carry out combined signal processing, so that the simultaneous and same-frequency coexistence of the cognitive system and an authorization system is realized. The method disclosed by the invention has the advantages that all the transceiving ends participate in making a decision and the combined selection of the authorize channel and the characteristic mode is considered. The method has a more reasonable design. The cognitive communication performance is obviously improved.

A cognitive communication assistant receives a message transmitted over a communication network from a sender to a recipient. A sender's industry identified with the sender and a recipient's industry identified with the recipient are determined. One or more terms associated with the sender's industry are extracted from the message. A definition associated with the one or more terms is searched for in an on-line reference text. The message is updated based on the definition. The message is transmitted over the communication network to the recipient.

The invention relates to the technical field of communication, aims to provide an error-containing cascaded code identification method based on template matching, and discloses an error-containing cascaded code identification method based on template matching in the communication field, which can be applied to the related fields of cognitive communication, communication reconnaissance, informationsecurity and the like. According to the method, a mechanism based on multi-layer verification is adopted, and the purpose of cascade code recognition under the high error code condition is achieved through the technical methods of constellation diagram mapping relation searching, internal and external code verification, scrambling code judgment based on a template and the like. The method is highin identification accuracy, an optimized search and verification strategy is adopted, the identification speed can be greatly increased, and the method is particularly suitable for the fields of information countermeasure, radio monitoring and cognitive communication and has practical significance.

The present invention discloses a hybrid spectrum sharing method for full-duplex cognitive system based on signal polarization. Firstly, the method enables a cognitive radio user to continuously perform spectrum sensing, learn polarization parameters of an authorized user signal, and adjust polarization state of the cognitive user self to access a licensed frequency band accordingly. When the cognitive user detects that a target licensed band is occupied, the cognitive user transmits data using a polarization state that does not interfere with the authorized user; however, when the target licensed band is not occupied, the cognitive user transmits data using another polarization state that improves cognitive communication throughput capacity. The method not only can effectively resist theself-interference of full-duplex communication, but also can improve the throughput capacity of the cognitive communication and interference performance to the authorized user.

A method of identifying an RF signal for a cognitive radio system. The signal is identified with a digital watermarking performed downstream from the digital modulation of the symbols to be transmitted. A method of detecting an RF signal watermarked is also disclosed. The identification method includes demodulating the received RF signal as a baseband, converting it digitally, and correlating the digital signal obtained with a predetermined digital signature. The correlation values are averaged using a recursive filter and the maximum value of the average values output from the filter is compared to a threshold to decide whether the RF signal is present.

The invention provides a diversified interference estimation and suppression method based on multi-task compressed sensing. The method specifically comprises the following steps of obtaining a randomobservation matrix and an orthogonal dictionary according to received electromagnetic information, and initializing the maximum number of iterations and reconstruction precision; updating a perceptionmatrix of the interference; calculating an interference optimal solution at the moment t; calculating an optimal coefficient under sparsity constraint at the moment t; updating a new sensing matrix of the signal; obtaining the overall reconstruction performance of the electromagnetic information at the current t moment; judging whether the reconstruction constraint condition at the moment t meetsthe overall reconstruction performance or not, and if yes, executing the next step; otherwise, backtracking the optimal interference solution; updating the coefficient vector and the number of iterations at the moment t; calculating a t-moment interference optimal solution under sparse constraint; returning to execute the step (6) till an iteration termination condition is met; and obtaining a coefficient vector and interference of a final optimal solution. The method can adapt to the characteristics of cognitive communication and compressed spectrum sensing and realizes simultaneous recoveryreconstruction and time domain elimination of interference and signals.