| Patent application number | Description | Published |
|---|
| 20080293353 | Cognitive radio methodology, physical layer policies and machine learning - 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. | 11-27-2008 |
| 20090102981 | SPECTRUM SENSING FUNCTION FOR COGNITIVE RADIO APPLICATIONS - A method and system are disclosed to detect a broad class of signals including Advanced Television Systems Committee (ATSC) digital television (DTV) and wireless microphone signals. This signal detection method performs in Gaussian noise, employing Higher Order Statistics (HOS). Signals are processed in time and frequency domains as well as by real and imaginary components. The spectrum sensing employed also supports Denial of Service (DoS) signal classification. The method can include parameters that may be tailored to adjust the probability of detection and false alarm. | 04-23-2009 |
| 20090124207 | Protocol Reference Model, Security and Inter-Operability in a Cognitive Communications System - 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. | 05-14-2009 |
| 20090124208 | PROTOCOL REFERENCE MODEL, SECURITY AND INTER-OPERABILITY IN A COGNITIVE COMMUNICATIONS SYSTEM - 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. | 05-14-2009 |
| 20100002816 | METHOD AND APPARATUS FOR MULTIPLE SIGNAL IDENTIFICATION AND FINDING THE BASIS FUNCTIONS OF THE RECEIVED SIGNAL - A method is disclosed to detect a broad class of signals in Gaussian noise using higher order statistics. The method detects a number of different signal types. The signals may be in the base-band or the pass-band, single-carrier or multi-carrier, frequency hopping or non-hopping, broad-pulse or narrow-pulse etc. In a typical setting this method provides an error rate of 3% at a signal to noise ratio of 0 dB. This method gives the time frequency detection ratio which may be used to determine if the detected signal falls in Class Single-Carrier of Class Multi-Carrier. Additionally, this method may be used for a number of different applications such as multiple signal identification, finding the basis functions of the received signal. | 01-07-2010 |
| 20100227622 | RESOURCE ALLOCATION IN CO-EXISTENCE MODE - Techniques are disclosed that allow for resource allocation during situations requiring co-existence in cognitive radios. Even under situations of bandwidth scarcity, the techniques allow various users to be guaranteed quality of service (QoS) by proper distribution and allocation of resources. The techniques allow wireless communication systems to operate in a normal mode and a co-existence mode. In the co-existence mode of operation, sub-frame creation, sharing and zone formation schemes are implemented that enable the existing underlying frame structure to remain intact and inter-operable with the legacy systems and at the same time, provide a guaranteed QoS. The zones effectively create partitions in space, time and frequency, which result in interference avoidance and allow various users in neighboring cells to communicate on the same frequencies. | 09-09-2010 |
| 20100317391 | METHOD FOR COLLABORATIVE DISCRIMATION BETWEEN AUTHENTIC AND SPURIOUS SIGNALS IN A WIRELESS COGNITIVE NETWORK - A WRAN discriminates between authentic incumbent and spurious/malicious signals by collaboratively sensing the frequency environment, classifying and fusing the sensed results, and categorizing each signal as valid or invalid. Embodiments categorize signals according to reports from at least two nodes, thereby increasing detection confidence and resisting denial-of-service attacks. A “voting-rule” can be applied whereby a signal is authentic only if it is detected by a specified percentage of the nodes. Some embodiments categorized signals by comparing sensed analog signal properties, such as amplitude, bandwidth, pulse width, mean, variance, modulation, standard deviation, moments, cumulants, and rise and fall times, with properties of known incumbents and/or known incumbent types. Sensed results can be weighted according to known node locations and/or local topology, sensed signal strengths, and comparisons of sensed analog features with corresponding features of known incumbents and/or known incumbent types in the same class. | 12-16-2010 |
| 20110131260 | EFFICIENT DETECTION ALGORITHM SYSTEM FOR A BROAD CLASS OF SIGNALS USING HIGHER-ORDER STATISTICS IN TIME AS WELL AS FREQUENCY DOMAINS - An algorithm system to detect a broad class of signals in Gaussian noise using higher-order statistics. The algorithm system detects a number of different signal types. The signals may be in the base-band or the pass-band, single-carrier or multi-carrier, frequency hopping or non-hopping, broad-pulse or narrow-pulse etc. In a typical setting this algorithm system provides an error rate of 3/100 at a signal to noise ratio of 0 dB. This algorithm system gives the time frequency detection ratio that may be used to determine if the detected signal falls in Class Single-Carrier of Class Multi-Carrier. Additionally this algorithm system may be used for a number of different applications such as multiple signal identification, finding the basis functions of the received signal and the like. | 06-02-2011 |
| 20110138183 | METHOD FOR ENSURING SECURITY AND PRIVACY IN A WIRELESS COGNITIVE NETWORK - In some embodiments, authentication, confidentiality, and privacy are enhanced for a wireless network of cognitive radios by encryption of network management and control messages as well as data traffic, thereby protecting information pertaining to node identification, node location, node-sensed incumbent transmissions, CRN frequency channel selections, and such like. During initial network registration, a temporary ID can be issued to a node, and then replaced once encrypted communication has been established. This prevents association of initial, clear-text messages with later encrypted transmissions. Elliptic curve cryptography can be used for mutual authentication between subscribers and the base station. ECC-based implicit digital certificates can be embedded in co-existence beacons used by CRN nodes to coordinate use of frequency channels, thereby preventing denial of service attacks due to transmitting of falsified beacons. Similar certificates can be embedded within identity beacons used to protect certain incumbents from interference by the CRN. | 06-09-2011 |
