A system and method of cognitive radio control to allow for low probability of detection and/or low probability of exploitation communications in a contested or hostile environment. The cognitive radio system of the present disclosure can reason over policy constraints and real-time data to make dynamic changes to mission parameters in real-time.

A wireless communication system includes a network manager configured to wirelessly communicate with a plurality of wireless nodes of a wireless network. The network manager and at least one wireless node include a transceiver connected to transmit and receive wireless communication via an antenna. The network manager and/or the wireless node include a cognitive engine configured to receive information regarding an environment of the wireless network as input and, in response, generate configuration data as output. Subsequent communication on the wireless network is updated using the configuration data.

A system and method of cognitive radio control to allow for low probability of detection and/or low probability of exploitation communications in a contested or hostile environment. The cognitive radio system of the present disclosure can reason over policy constraints and real-time data to make dynamic changes to mission parameters in real-time.

A receiving node of a first wireless communications system is co-located with a node of a second wireless communications system, said first and second wireless communications systems are configured with frequencies on a shared frequency band. Information identifying a node of the first wireless communications system transmitting on the shared frequency band is received. The received information identifying the transmitting node as an interfering node to the co-located node of the second wireless communications system is transmitted to an entity controlling configuration of the shared frequency band.

A wireless communication system includes a network manager configured to wirelessly communicate with a plurality of wireless nodes of a wireless network. The network manager and at least one wireless node include a transceiver connected to transmit and receive wireless communication via an antenna. The network manager and/or the wireless node include a cognitive engine configured to receive information regarding an environment of the wireless network as input and, in response, generate configuration data as output. Subsequent communication on the wireless network is updated using the configuration data.

A technique, comprising: controlling a radio transmitter or radio transceiver of a device of a first radio system to transmit to a second radio system information about use of at least one radio resource for one or more transmissions outside the control of the second radio system, wherein said at least one radio resource is also usable for transmissions controlled by the second radio system.

A systematic interferences mitigation design for protected satellite communications (SATCOM) is provided. An advanced channel coding is designed to provide coding gain for SATCOM even in the presence of synchronization errors because of unintentional and intentional radio frequency interferences (RFIs). A unified SATCOM system spectrum efficiency and energy efficiency performance model is developed with a unified interference model for SATCOM dynamic resource allocation (DRA). The SATCOM system DRA is designed with a game theoretic engine and link optimizations providing traffic control, power control, frequency hopping pattern selection, beamforming codebook selection, and modulation with coding agile waveform adaptations. The interferences mitigation design is implemented with software defined radio USRP and GNU-radio to maintain communication link quality of services (QoS).

A systematic interferences mitigation design for protected satellite communications (SATCOM) is provided. An advanced channel coding is designed to provide coding gain for SATCOM even in the presence of synchronization errors due to the effect of radio frequency interferences (RFIs). A unified SATCOM system spectrum efficiency and energy efficiency method is developed with a unified interference model for SATCOM dynamic resource allocation (DRA). The SATCOM system DRA is designed with a game theoretic engine and optimizations providing traffic control, power control, and modulation and coding agile waveform adaptations. The interferences mitigation design is implemented with software defined radio USRP and GNU-radio to maintain communication link quality of services (QoS).

Systems and methods for cognitive radio spectrum sensing of a signal are disclosed herein. On exemplary method comprises applying a pre-defined cyclostationary feature to detect the presence of the signal; detecting the signal; detecting a spectrum associated with the signal; sampling randomly the detected signal from its cyclic frequency domain; and applying a compressive sensing algorithm to classify the signal based on the cyclostationary feature. The signal can be sparse in time, space, frequency, or code domains. Thereby, the systems and methods described in the present disclosure involve exploiting compressive sensing in a specific sparse domain (i.e., cyclic domain) and also utilize a cyclostationary feature based compressive spectrum sensing scheme to perform spectrum analysis.

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.