Abstract: Tire sensing systems operable to determine one or more physical characteristics of a tire include millimeter wave transmitting and receiving devices. A processor is communicatively coupled with a memory that includes instructions to transmit and receive a millimeter wave toward and from the tire. Memory also includes instructions to image first and second radial extents of the tire based on the received millimeter wave as well as instructions to determine a dimensional difference between the first and second radial extents of the tire. Vehicles including such tire sensing systems as well as non-transitory machine-readable storage mediums and methods are also included.

Abstract: An apparatus of a communication device, the apparatus comprising a processor configured to: establish a first connection through a first radio frequency interface; establish a second connection through a second radio frequency interface, wherein the first connection is a non-secure connection and the second connection is a secure connection; determine a result representing whether data is routed for the first connection or the second connection; instruct the data to be transmitted with one of the first connection or the second connection based on the result.

Abstract: To maximize power saving in a radio access network comprising cells, an optimal action amongst actions comprising switching on one or more cells, switching off one or more cells, and doing nothing is determined using a trained model, which maximizes a long term reward on tradeoff between throughput and power, the trained model taking as input a load estimate. The trained model may be updated online using measurement results on load, throughput and power consumption.

Abstract: A fingerprint is received from a device that identifies a plurality of signal strength values corresponding to a plurality of wireless access points as measured by the device within a physical environment. A first machine learning model is used to determine that a subset of access points in the plurality of wireless access points are missing in the physical environment based on the fingerprint, and a machine-learning-based localization model is modified to generate a modified localization model to account for the subset of access points missing in the physical environment, where the localization model is trained based on training data collected when the plurality of wireless access points were present and operational within the environment.

Abstract: A computing system including a processor configured to receive packet preamble binary data and packet header binary data associated with a satellite. The processor may generate a simulated signal that encodes the packet preamble binary data and the packet header binary data. The processor may receive a satellite downlink signal. Within each of a plurality of sample intervals of the satellite downlink signal, the processor may compute a respective correlation between the satellite downlink signal and at least a portion of the simulated signal. The processor may select an identified sample interval of the plurality of sample intervals based at least in part on the plurality of correlations. The processor may decode binary satellite signal data based at least in part on the identified sample of the satellite downlink signal. The processor may output the binary satellite signal data.

Abstract: Systems, methods, and software for a Radio Access Network (RAN). In one embodiment, a system identifies a plurality of cells within the RAN, and groups the cells into cell groups. The system performs a training process to train group Machine-Learning (ML) models for the cell groups based on training data for the cell groups, and evaluates a performance of the group ML models for the cell groups based on evaluation data for the cell groups. The system provides the group ML models for the cell groups to a RAN management system or the like when the performance of the group ML models satisfies a performance threshold.

Abstract: A memory subsystem includes memory devices with space dynamically allocated for improvement of reliability, availability, and serviceability (RAS) in the system. Error checking and correction (ECC) logic detects an error in all or a portion of a memory device. In response to error detection, the system can dynamically perform one or more of: allocate active memory device space for sparing to spare a failed memory segment; write a poison pattern into a failed cacheline to mark it as failed; perform permanent fault detection (PFD) and adjust application of ECC based on PFD detection; or, spare only a portion of a device and leave another portion active, including adjusting ECC based on the spared portion. The error detection can be based on bits of an ECC device, and error correction based on those bits and additional bits stored on the data devices.

Abstract: Methods and apparatuses for improving wireless network performance and efficiency by dynamically configuring network selection and session management functions within a wireless networking environment are described. In some cases, a network and service management system within the wireless networking environment may perform adjustments to the configuration of network slices and protocol data unit (PDU) sessions associated with user equipment (UE) devices utilizing network services provided by the wireless networking environment. The network and service management system may utilize machine learning techniques to provide real-time selection and reconfiguration of network slices and PDU sessions running within the wireless networking environment.

Abstract: A ground station computing system for communicating with a satellite is provided, including a processor and associated memory storing instructions that cause the processor to execute a software-defined radio (SDR) program. The SDR program is configured to receive signals from a plurality of satellites and determine a doppler shift signature pattern of one of the satellites. The SDR program is further configured to detect, within the received signals from the plurality of satellites, packet preambles from the one of the plurality of satellites, based on correlations between portions of the received signals and the doppler shift signature pattern.

Abstract: A device may include a memory configured to store an artificial intelligence or machine learning model (AI/ML) configured to provide an output used in radio resource management of a plurality of cells; and a processor configured to: obtain cell-specific parameters of the plurality of cells of a mobile communication network; select a subset of the plurality of cells based on obtained cell-specific parameters; and cause the AI/ML to be trained with radio access network (RAN)-related data of the subset of the plurality of cells.

Abstract: Methods and apparatuses for improving wireless network performance and efficiency by dynamically configuring network selection and session management functions within a wireless networking environment are described. In some cases, a network and service management system within the wireless networking environment may perform adjustments to the configuration of network slices and protocol data unit (PDU) sessions associated with user equipment (UE) devices utilizing network services provided by the wireless networking environment. The network and service management system may utilize machine learning techniques to provide real-time selection and reconfiguration of network slices and PDU sessions running within the wireless networking environment.

Abstract: Examples are provided that relate to satellites utilizing both a narrowband communication channel and a broadband communication channel. One example provides a satellite comprising narrowband communication hardware configured to communicate on a control plane over a narrowband communication channel using an omnidirectional antenna. The satellite further comprises broadband communication hardware configured to communicate on a data plane over a broadband communication channel using a beamforming antenna.

Abstract: An apparatus for an access node, includes a memory interface to send or receive, to or from a data storage device, measurement information for measurement signaling between a first next generation radio access network (NG-RAN) node and a second NG-RAN node. The apparatus also includes processor circuitry communicatively coupled to the memory interface, the processor circuitry to initiate execution of a machine learning (ML) model by the first NG-RAN node to select an energy saving state for the first NG-RAN node, the second NG-RAN node or a user equipment (UE), and generate one or more messages with an information element (IE) with one or more parameters to request measurement information according to the one or more parameters, the measurement information to comprise feedback information to train the ML model. Other embodiments are described and claimed.

Abstract: A computing system including a processor configured to receive packet preamble binary data and packet header binary data associated with a satellite. The processor may generate a simulated signal that encodes the packet preamble binary data and the packet header binary data. The processor may receive a satellite downlink signal. Within each of a plurality of sample intervals of the satellite downlink signal, the processor may compute a respective correlation between the satellite downlink signal and at least a portion of the simulated signal. The processor may select an identified sample interval of the plurality of sample intervals based at least in part on the plurality of correlations. The processor may decode binary satellite signal data based at least in part on the identified sample of the satellite downlink signal. The processor may output the binary satellite signal data.

Abstract: Systems, methods, apparatuses, and computer program products for dynamic target cell selection for application of RAN optimization are provided. One method includes receiving a request, from one or more radio access network optimization services, that comprises a list of attributes corresponding to characteristics of a cell and a cell selection criterion for each of the attributes, receiving, from one or more radio access network cells, a data stream comprising metrics for at least one of the cell or users in the cell.

Abstract: A ground station computing system for communicating with a satellite is provided, including a processor and associated memory storing instructions that cause the processor to execute a software-defined radio (SDR) program. The SDR program is configured to receive signals from a plurality of satellites and determine a doppler shift signature pattern of one of the satellites. The SDR program is further configured to detect, within the received signals from the plurality of satellites, packet preambles from the one of the plurality of satellites, based on correlations between portions of the received signals and the doppler shift signature pattern.

Abstract: A backhoe loader comprises a front chassis, a rear chassis, a rotatable operator workstation, and a chassis lock mechanism. The front chassis comprises the loading assembly and the rear chassis is connected to the front chassis along a vertical axis joint by a pin lock assembly. The rotatable operator workstation is positioned in the rear chassis, which is positioned inside a bearing mounted cabin which is slewable in clockwise and counter-clockwise directions. The operator workstation enables maneuvering of the front chassis with respect to the rear chassis using the pin lock assembly. The chassis lock mechanism is achieved using two single acting hydraulic cylinders that are mounted horizontally on rear chassis. These hydraulic cylinders are actuated during the excavation operation which in turns locks the oscillation of vehicle and front and rear chassis acts rigidly like a single body. This rigidity of the vehicle provides the required stability during excavation.

Abstract: Methods and apparatuses for improving wireless network performance and efficiency by dynamically configuring network selection and session management functions within a wireless networking environment are described. In some cases, a network and service management system within the wireless networking environment may perform adjustments to the configuration of network slices and protocol data unit (PDU) sessions associated with user equipment (UE) devices utilizing network services provided by the wireless networking environment. The network and service management system may utilize machine learning techniques to provide real-time selection and reconfiguration of network slices and PDU sessions running within the wireless networking environment.

Abstract: An apparatus and method for inline scanned image enrichment is provided. The apparatus includes a computing device configured to receive a plurality of subject data, generate a candidate set to model the scan focal points from, digitally capture the slide using the identified focal points through machine-learning processes, processing the captured image to optimize its viewability, and storing the captured image in an accessible repository.

Abstract: A computing system including a processor configured to receive packet preamble binary data and packet header binary data associated with a satellite. The processor may generate a simulated signal that encodes the packet preamble binary data and the packet header binary data. The processor may receive a satellite downlink signal. Within each of a plurality of sample intervals of the satellite downlink signal, the processor may compute a respective correlation between the satellite downlink signal and at least a portion of the simulated signal. The processor may select an identified sample interval of the plurality of sample intervals based at least in part on the plurality of correlations. The processor may decode binary satellite signal data based at least in part on the identified sample of the satellite downlink signal. The processor may output the binary satellite signal data.