Abstract: The present disclosure is directed to methods and systems for monitoring nodes on a distributed computing network. A distributed computing system can monitor each node within a wireless network to identify when a node is disconnected from the network. The distributed computing system can dynamically perform tasks on behalf of the node until the node is reconnected to the wireless network. In some implementations, the distributed computing system monitors the utilization of the wireless network to identify when the wireless network has the capacity to perform a task.

Abstract: Various arrangements for implementing a cellular network slice using a template are provided. Some number of client slice parameters can be defined by a client. Based on these parameters, a predefined cellular network slice template can be selected from a library of predefined cellular network slice templates. A new cellular network slice is then defined using the selected predefined cellular network slice. Cellular network access can be granted to the client via the defined cellular network slice and feedback on the performance of the cellular network slice is provided. Based on the client feedback and parameters of the defined cellular network slice, the predefined cellular network slice template in the slice template library is updated.

Abstract: The present disclosure is directed to methods and systems for spectrum leasing. The spectrum leasing system performs a set of functions to provide potential leasing customers with flexible leasing options. The spectrum leasing system can utilize inputs such as: customer problems, size and type of customer premises, list of customer location(s), requested spectrum bands, requested network capability at a customer location, and geographic information system (GIS) information about the customer premises, nearby buildings, and venues The spectrum leasing system can use the input information to identify and select leasing and monetization opportunities for customers. In some implementations, the spectrum leasing system analyzes a network provider spectrum portfolio, proximity of existing and planned public network cell sites, and a set of pre-established business rules for spectrum leasing to identify spectrum bands available for leasing and determine pricing of the lease.

Abstract: This disclosure relates to the sharing of communications network resources. An example method includes presenting options and statuses of sharable network resources of a communications network, obtaining a request for one or more network resources of the communications network, and determining sharing availability of the one or more network resources. The method also includes updating further presenting the options and statuses of sharable network resources based on the determined sharing availability, and causing establishment of the one or more network resources.

Abstract: A technique is directed to methods and systems for providing autonomous wireless coverage. In some implementations, the autonomous wireless coverage providing machine (e.g., a mobile wireless tower) can move to various locations to optimize coverage, connectivity, and/or quality. The mobile wireless tower can collect environment data of a location and determine the terrain and wireless devices requesting coverage. The mobile wireless tower can identify a location to provide network coverage to the devices based on the terrain. In some implementations, the mobile wireless tower can determine a location to provide coverage using Artificial Intelligence or Machine Learning retrieved from the network for which the mobile wireless tower provides coverage. The mobile wireless tower can have a flexible length wired or wireless backhaul capability for the mobile wireless tower to send data and retrieve data stored on the network.

Abstract: A technique is directed to methods and systems for providing autonomous wireless coverage. In some implementations, the autonomous wireless coverage providing machine (e.g., a mobile wireless tower) can move to various locations to optimize coverage, connectivity, and/or quality. The mobile wireless tower can collect environment data of a location and determine the terrain and wireless devices requesting coverage. The mobile wireless tower can identify a location to provide network coverage to the devices based on the terrain. In some implementations, the mobile wireless tower can determine a location to provide coverage using Artificial Intelligence or Machine Learning retrieved from the network for which the mobile wireless tower provides coverage. The mobile wireless tower can have a flexible length wired or wireless backhaul capability for the mobile wireless tower to send data and retrieve data stored on the network.

Abstract: A technique is directed to methods and systems for providing autonomous wireless coverage. In some implementations, the autonomous wireless coverage providing machine (e.g., a mobile wireless tower) can move to various locations to optimize coverage, connectivity, and/or quality. The mobile wireless tower can collect environment data of a location and determine the terrain and wireless devices requesting coverage. The mobile wireless tower can identify a location to provide network coverage to the devices based on the terrain. In some implementations, the mobile wireless tower can determine a location to provide coverage using Artificial Intelligence or Machine Learning retrieved from the network for which the mobile wireless tower provides coverage. The mobile wireless tower can have a flexible length wired or wireless backhaul capability for the mobile wireless tower to send data and retrieve data stored on the network.