Abstract: A method for controlling one or more operational characteristics of a plurality of wireless access points of a manufacturing environment includes generating a plurality of state vectors based on network data associated with the plurality of wireless access points and identifying a set of actions from among a plurality of actions and associated with the plurality of state vectors. The method includes determining a reward for each action from among the set of actions, selecting a target action from among the set of actions based on the reward associated with each action from among the set of actions, and selectively adjusting the one or more operational characteristics of the plurality of wireless access points based on the target action.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may evaluate a first and second utility value for a first and second subscriber identity module (SIM) associated with a first and second service subscription respectively for each zone of a set of zones along a route of the UE. The first utility value and the second utility value may be based on a throughput level and a network load of the service subscriptions for each zone of the set of zones that includes zones that the UE is predicted to travel through. Therefore, the UE compares the first utility value to the second utility value to determine a service subscription switch condition for each zone for the UE to switch between the SIMs of the UE based on a function of the service subscription switch conditions for the set of zones.

Abstract: Vehicle information aided roaming and PLMN selection in vehicular UEs for border crossings is described. An apparatus is configured to calculate distances from a location of the UE to a crossing of a border between a first and a second region. The distances are based on a corresponding set of border points and a GNSS location fix for the UE. The apparatus is configured to estimate an elapsed time the UE crossed the border based on at least one of a current heading of a vehicle associated with the UE, at least one distance, or a current speed of the UE. The apparatus is configured to provide, for a network entity, based on the elapsed time at which the UE crossed the border and a crossing threshold condition, an indication of a regional communication code of the second region associated with roaming of the UE in the second region.

Abstract: Mesh device communication is provided. A dictionary of indexes corresponding to different messages is stored to a cache memory of an access device. A message is received via a transceiver of the access device. The cache memory is accessed to look up the message to identify an index corresponding to the message. The message is propagated, via the transceiver, to a wireless access device mesh network including a plurality of other access devices by broadcasting the index of the message.

Abstract: A V2X event-message dictionary and a binning function are received from a cloud server. Sensor data is compared to events specified in the V2X event-message dictionary to identify a best-fit event for the sensor data. A number of bins and a bin number for the event are computed using the binning function. A V2X message is transmitted including the number of bins and the bin number, thereby avoiding including the sensor data in the V2X message.

Abstract: Various embodiments include methods for performing a software/firmware (SW/FW) update of a vehicle without draining the vehicle's battery below a threshold. A vehicle processing system may receive a SW/FW update inquiry that specifies a permissible time window for implementing the update and predict a residual vehicle battery level (RVBL) resulting from receiving and implementing the update based a current battery level. The processing system may transmit an update response to initiate over-the-air reception of the SW/FW update in response to predicting that the RVBL after receiving and implementing the SW/FW update will be above a threshold battery level based on a location of the vehicle and the PTW. Methods may further include transmitting a SW/FW update response that prevents initiation of the SW/FW update, at least temporarily, in response to predicting that the current vehicle battery level is below a minimum battery level threshold for performing the SW/FW update.

Abstract: Autonomous management of wireless connectivity of priority response vehicles is provided. It is received, from a communications network including a plurality of access points, the access points configured to provide communications services to priority vehicles and non-priority vehicles, locations of the priority vehicles over the communications network. A SON server is utilized, in communication with the plurality of access points, to optimize wireless connectivity for the priority vehicles. It is received, by an enhanced vehicle management system (EVMS) server, in communication with the SON server, network quality information from the SON server. The priority vehicles are routed based on the network quality information.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit, based at least in part on a thermal-resource-constrained state of the UE or a power-resource-constrained state of the UE, a request to deactivate one or more quality of experience (QoE) measurement and collection (QMC) configurations for one or more applications. The UE may receive an indication to deactivate the one or more QMC configurations. In some aspects, the UE may enter the thermal-resource-constrained state or the power-resource-constrained state. The UE may transmit, in a QoE report container, an indication that the UE is in the thermal-resource-constrained state or the power-resource-constrained state. Numerous other aspects are described.

Abstract: Lane-level matching is provided. For a time index of a time slot of a period of receiving consecutive position information, a lateral distance of the vehicle to each of a plurality of lanes of a roadway is calculated using data from sensors of a vehicle. For each lane of the plurality of lanes, a positional uncertainty of the vehicle in an orthogonal direction to a lane bearing of the lane is calculated, a lane confidence based on an average of confidence values of the lane over the period of receiving consecutive position information is calculated, and a lane probability based on the lane confidence is calculated. For the time index, it is identified which of the lanes has a highest probability as being the lane to which the vehicle is matched.

Abstract: Routes may be presented to a vehicle operator with information about predicted autonomous driving levels. A road network route to a destination is received. The road network route is partitioned into segments. Indicia of the segments are provided to an inference engine. The inference engine predicts levels of autonomous driving for the respective segments generated by the inference engine based on the indicia of the segments. Based on the predicted levels of autonomous driving for the respective segments, a ratio of a level of autonomous driving for the road network route is computed. The ratio corresponds to a proportion of time and/or distance for the road network route during which a driver-system is predicted to be engaged at the level of autonomous driving. A user interface is displayed, which includes a graphic representation of the road network route and a graphic indication of the ratio.

Abstract: A vehicle receives a request for a download and determines a size of a file to be downloaded, a plurality of repositories that include the file, and a second file also in the repositories and having a minimum size. The vehicle plans a sequence of requests of symmetrical size, the sequence including sequential groups of requests for the repositories, each group including requests for one or more bits of: the first file, the second file, or a combination of bits, based on a function identified by the vehicle, from both the first file and the second file. The vehicle receives responses to groups of requests, including a combination of bits based on the function, and a bit from the second file usable to solve the combination to extract a bit of the first file, and responsively solves the combination to extract the bit of the first file.

Abstract: Secure wireless data prefetching and delivery is provided. A first demand is received from a first requesting device, requesting a first data file from the central agent, the first requesting device storing first cache data including a key and a first portion of the first data file. A second demand is received from a second requesting device, requesting a second data file from the central agent, the second requesting device storing second cache data including the key and a second portion of the second data file. A function is generated configured to allow the first requesting device to generate the first data file from the first portion and to allow the second requesting device to generate the second data file from the second portion. The function is broadcast to the first and second devices, responsive to the first and second demands.

Abstract: Systems and methods for predicting an optimal use level of a driver assist system are provided. The system may collect historical driver behavior and road condition data, and train an optimization prediction model using the historical data, e.g., via machine learning or artificial intelligence. Moreover, the system may collect real-time driver behavior and road condition data, and predict an optimal use level of the driver assist system based on the real-time data using the trained optimization prediction model. The system may then send feedback to the driver assist system when the optimal use level falls outside a predetermined threshold, such that the driver assist system may be unavailable or have reduced functionality until the optimal use level improves.

Abstract: Autonomous management of wireless connectivity of priority response vehicles is provided. It is received, from a communications network including a plurality of access points, the access points configured to provide communications services to priority vehicles and non-priority vehicles, locations of the priority vehicles over the communications network. A SON server is utilized, in communication with the plurality of access points, to optimize wireless connectivity for the priority vehicles. It is received, by an enhanced vehicle management system (EVMS) server, in communication with the SON server, network quality information from the SON server. The priority vehicles are routed based on the network quality information.

Abstract: A method includes identifying a broadcast set of access points from among the plurality of access points based on access point interference data associated with a plurality of access points disposed in an environment, where the access point interference data includes current radio frequency (RF) signal interference data associated with each of the plurality of access points, predicted RF signal interference data associated with each of the plurality of access points, or a combination thereof. The method includes partitioning a data packet into a plurality of data subpackets based on the broadcast set of access points and broadcasting the plurality of data subpackets to a vehicle via the broadcast set of access points.

Abstract: A system includes a server computer programmed upon determining that a first portion of software data for updating an operational feature of a first computer is stored in the first computer and a second portion of the software data is stored in a second computer, to encode the first portion and the second portion to generate encoded data, and to send the encoded data via wireless data transfer to the first and second computers. The first computer is programmed to decode the second portion from the received encoded data, to update the operational feature of the first computer based on the stored first portion and the decoded second portion, and to operate the first computer based on the updated operational feature.

Abstract: System and methods for a decentralized hybrid air-ground autonomous last-mile goods delivery are disclosed herein. A drone can include a controller configured to cause the drone to depart from a docking station of a vehicle, transmit a discovery message to available vehicles in an operating area, the discovery message having drone metadata, select at least one of one of the available vehicles based on response codes received from the available vehicle, or a nearest fixed docking station, and dock with a docking station of the one of the available vehicles or the nearest fixed docking station.

Abstract: A method for controlling one or more operational characteristics of a plurality of wireless access points of a manufacturing environment includes generating a plurality of state vectors based on network data associated with the plurality of wireless access points and identifying a set of actions from among a plurality of actions and associated with the plurality of state vectors. The method includes determining a reward for each action from among the set of actions, selecting a target action from among the set of actions based on the reward associated with each action from among the set of actions, and selectively adjusting the one or more operational characteristics of the plurality of wireless access points based on the target action.

Abstract: Lane-level matching is provided. For a time index of a time slot of a period of receiving consecutive position information, a lateral distance of the vehicle to each of a plurality of lanes of a roadway is calculated using data from sensors of a vehicle. For each lane of the plurality of lanes, a positional uncertainty of the vehicle in an orthogonal direction to a lane bearing of the lane is calculated, a lane confidence based on an average of confidence values of the lane over the period of receiving consecutive position information is calculated, and a lane probability based on the lane confidence is calculated. For the time index, it is identified which of the lanes has a highest probability as being the lane to which the vehicle is matched.

Abstract: Mesh device communication is provided. A dictionary of indexes corresponding to different messages is stored to a cache memory of an access device. A message is received via a transceiver of the access device. The cache memory is accessed to look up the message to identify an index corresponding to the message. The message is propagated, via the transceiver, to a wireless access device mesh network including a plurality of other access devices by broadcasting the index of the message.