Abstract: Systems and methods for operating a communication device. The methods comprise: receiving a signal at the communication device; performing, by the communication device, one or more machine learning algorithms using at least one feature of the signal as an input to generate a plurality of scores (each score representing a likelihood that the signal was modulated using a given modulation type of a plurality of different modulation types); assigning a modulation class to the signal based on the plurality of scores; determining whether a given wireless channel is available based at least on the modulation class assigned to the signal; and selectively using the given wireless channel for communicating signals based on results of the determining.

Abstract: Systems and methods for operating a communication device. The methods comprise: receiving a signal at the communication device; performing, by the communication device, one or more machine learning algorithms using at least one feature of the signal as an input to generate a plurality of scores (each score representing a likelihood that the signal was modulated using a given modulation type of a plurality of different modulation types); assigning a modulation class to the signal based on the plurality of scores; determining whether a given wireless channel is available based at least on the modulation class assigned to the signal; and selectively using the given wireless channel for communicating signals based on results of the determining.

Abstract: An artificial intelligence (AI) system for geospatial height estimation may include a memory and a processor cooperating therewith to store a plurality of labeled predicted electro-optic (EO) image classified objects having respective elevation values associated therewith in a semantic label database, and train a model using trained EO imagery and the semantic label database. The processor may further estimate height values within new EO imagery for a geographic area based upon the trained model, and generate an estimated height map for the geographic area from the estimated height values and output the estimated height map on a display.

Abstract: Systems and methods for operating a receiver. The methods comprise: receiving, at the receiver, a combined waveform comprising a combination of a desired signal and an interference signal; and performing, by the receiver, demodulation operations to extract the desired signal from the combined waveform. The demodulation operations comprise: obtaining, by the receiver, machine learned models for recovering the desired signal from combined waveforms; comparing, by the receiver, at least one characteristic of the received combined waveform to at least one of the machine learned models; and determining a value for at least one symbol of the desired signal based on results of the comparing.

Abstract: Systems and methods for operating a quantum processor. The methods comprise: receiving a reward matrix at the quantum processor, the reward matrix comprising a plurality of values that are in a given format and arranged in a plurality of rows and a plurality of columns; converting, by the quantum processor, the given format of the plurality of values to a qubit format; performing, by the quantum processor, subset summing operations to make a plurality of row selections based on different combinations of the values in the qubit format; using, by the quantum processor, the plurality of row selections to determine a normalized quantum probability for a selection of each row of the plurality of rows; making, by the quantum processor, a decision based on the normalized quantum probabilities; and causing, by the quantum processor, operations of an electronic device to be controlled or changed based on the decision.

Abstract: Systems and methods for operating a communication device. The methods comprise: receiving a signal at the communication device; performing, by the communication device, one or more machine learning algorithms using at least one feature of the signal as an input to generate a plurality of scores (each score representing a likelihood that the signal was modulated using a given modulation type of a plurality of different modulation types); assigning a modulation class to the signal based on the plurality of scores; determining whether a given wireless channel is available based at least on the modulation class assigned to the signal; and selectively using the given wireless channel for communicating signals based on results of the determining.

Abstract: Systems and methods for operating a receiver. The methods comprise: receiving, at the receiver, a combined waveform comprising a combination of a desired signal and an interference signal; and performing, by the receiver, demodulation operations to extract the desired signal from the combined waveform. The demodulation operations comprise: obtaining, by the receiver, machine learned models for recovering the desired signal from combined waveforms; comparing, by the receiver, at least one characteristic of the received combined waveform to at least one of the machine learned models; and determining a value for at least one symbol of the desired signal based on results of the comparing.

Abstract: An artificial intelligence (AI) system for geospatial height estimation may include a memory and a processor cooperating therewith to store a plurality of labeled predicted electro-optic (EO) image classified objects having respective elevation values associated therewith in a semantic label database, and train a model using trained EO imagery and the semantic label database. The processor may further estimate height values within new EO imagery for a geographic area based upon the trained model, and generate an estimated height map for the geographic area from the estimated height values and output the estimated height map on a display.

Abstract: A meter reading system includes a meter reading wireless mesh network having wireless meter reading nodes in communication with an access point. Each wireless meter reading node has an address associated therewith. The meter reading wireless mesh network is configured to establish a network address field for each wireless meter reading node based upon a length field and a value field of a respective address, and communicate within the wireless mesh network using the network address fields.

Abstract: A meter reading system includes a meter reading wireless mesh network having wireless meter reading nodes in communication with an access point. Each wireless meter reading node has an address associated therewith. The meter reading wireless mesh network is configured to define a given downstream route, from the access point to a given node via successive intermediate nodes, based upon addresses of the successive intermediate nodes and the given node. The respective address at each successive intermediate node is stripped while routing data along the given downstream route from the access point to the given node.

Abstract: A meter reading system includes a meter reading wireless mesh network having already-registered nodes already registered for communication with an access point, and not-yet-registered nodes not yet registered for communication with the access point. To register a new node with meter reading wireless mesh network, the new node transmits a request to register message. Neighboring already-registered nodes receiving the request to register message transmit responses back to the new node, whereas neighboring not-yet-registered nodes receiving the request to register message do not transmit responses back to the new node and do not transmit responses to neighboring already-registered nodes. The new node selects an already-registered node based on evaluation of the responses, and communicates to the access point via the selected already-registered node to thereby be added to network.

Abstract: A meter reading system includes a meter reading wireless mesh network having wireless meter reading nodes in communication with an access point. Each wireless meter reading node has an address associated therewith. The meter reading wireless mesh network is configured to establish a network address field for each wireless meter reading node based upon a length field and a value field of a respective address, and communicate within the wireless mesh network using the network address fields.

Abstract: A meter reading system includes a meter reading wireless mesh network having wireless meter reading nodes in communication with an access point. Each wireless meter reading node has an address associated therewith. The meter reading wireless mesh network is configured to define a given downstream route, from the access point to a given node via successive intermediate nodes, based upon addresses of the successive intermediate nodes and the given node. The respective address at each successive intermediate node is stripped while routing data along the given downstream route from the access point to the given node.

Abstract: A meter reading system includes a meter reading wireless mesh network having already-registered nodes already registered for communication with an access point, and not-yet-registered nodes not yet registered for communication with the access point. To register a new node with meter reading wireless mesh network, the new node transmits a request to register message. Neighboring already-registered nodes receiving the request to register message transmit responses back to the new node, whereas neighboring not-yet-registered nodes receiving the request to register message do not transmit responses back to the new node and do not transmit responses to neighboring already-registered nodes. The new node selects an already-registered node based on evaluation of the responses, and communicates to the access point via the selected already-registered node to thereby be added to network.