Disclosed is a platform for providing computational resources at and/or near a mobile network perimeter. The platform may be used to provide computational resources adjacent a small cell radio via at least one Mobile Edge Compute (“MEC”) Appliance and at least one MEC Controller. The MEC Appliance can serve as the data plane to support data flow traffic. The MEC Controller can provide a micro-services architecture designed for resiliency, scalability, and extensibility. The platform can be used to de-centralize the mobile network operator's core network and/or associated macro-cell network topologies, generating a platform with enhanced flexibility, reliability, and performance. The platform can include a security architecture for effective privacy and access within a distributed topology of the network at and/or near the edge of the mobile network perimeter.

Disclosed is a platform for providing computational resources at and/or near a mobile network perimeter. The platform may be used to provide computational resources adjacent a small cell radio via at least one Mobile Edge Compute (“MEC”) Appliance and at least one MEC Controller. The MEC Appliance can serve as the data plane to support data flow traffic. The MEC Controller can provide a micro-services architecture designed for resiliency, scalability, and extensibility. The platform can be used to de-centralize the mobile network operator's core network and/or associated macro-cell network topologies, generating a platform with enhanced flexibility, reliability, and performance. The platform can include a security architecture for effective privacy and access within a distributed topology of the network at and/or near the edge of the mobile network perimeter.

A first network access node for a wireless communication system obtains a set of first radio service information (RSI) for a set of first position information in a service area. Each first RSI of the set of first RSI comprises a first RSI estimate, a first estimate type indicating how the first RSI estimate was estimated, and a first radio service type defining the first RSI estimate. The first network access node further receives a first control message from a second network access node. Corresponding methods and computer program products are also described.

Method, apparatus, computer program and computer readable storage medium are disclosed for antenna performance evaluation. According to an embodiment, signal metrics and positions of a plurality of user equipments within a coverage area of an antenna array are acquired. An antenna performance map showing how signal metric as a variable changes relative to position as another variable is generated from the signal metrics and positions. Obstacle related information is determined based on the generated antenna performance map and a reference antenna performance map. A base station comprising the apparatus is also disclosed.

Example methods, apparatus, systems, and machine-readable mediums for unmanned aerial vehicle drive testing and mapping of carrier signals are disclosed. An example method may include determining that an unmanned aerial vehicle is travelling on a flight route at an altitude for determination of network performance of a cellular network. The method may further include determining, using an antenna, signal diagnostics of the cellular network during travel of the unmanned aerial vehicle on the flight route. The method may conclude with transmitting the signal diagnostics of the cellular network to a service provider.

Example methods, apparatus, systems, and machine-readable mediums for unmanned aerial vehicle drive testing and mapping of carrier signals are disclosed. An example method may include determining that an unmanned aerial vehicle is travelling on a flight route at an altitude for determination of network performance of a cellular network. The method may further include determining, using an antenna, signal diagnostics of the cellular network during travel of the unmanned aerial vehicle on the flight route. The method may conclude with transmitting the signal diagnostics of the cellular network to a service provider.

A system, method, and computer program product are provided for performing mobile network related tasks based on performance data acquired by an unmanned vehicle. In use, mobile device performance data associated with a geographical area is received, the mobile device performance data being acquired by one or more unmanned vehicles accessing the geographical area. Additionally, the received mobile device performance data associated with the geographical area is analyzed. Further, one or more mobile network related tasks corresponding to the geographical area are performed based on the analysis of the received mobile device performance data associated with the geographical area.

A system, method, and computer program product are provided for performing mobile network related tasks based on performance data acquired by an unmanned vehicle. In use, mobile device performance data associated with a geographical area is received, the mobile device performance data being acquired by one or more unmanned vehicles accessing the geographical area. Additionally, the received mobile device performance data associated with the geographical area is analyzed. Further, one or more mobile network related tasks corresponding to the geographical area are performed based on the analysis of the received mobile device performance data associated with the geographical area.

Implementations described and claimed herein provide systems and methods for intelligent node type selection in a telecommunications network. In one implementation, a customer set is obtained for a communications node in the telecommunications network. The customer set includes an existing customer set and a new customer set. A set of customer events is generated for a node type of the communications node using a simulator. The set of customer events is generated by simulating the customer set over time through a discrete event simulation. An impact of the customer events is modeled for the node type of the communications node. The node type is identified from a plurality of node types for a telecommunications build based on the impact of the customer events for the node type.

Implementations described and claimed herein provide systems and methods for intelligent node type selection in a telecommunications network. In one implementation, a customer set is obtained for a communications node in the telecommunications network. The customer set includes an existing customer set and a new customer set. A set of customer events is generated for a node type of the communications node using a simulator. The set of customer events is generated by simulating the customer set over time through a discrete event simulation. An impact of the customer events is modeled for the node type of the communications node. The node type is identified from a plurality of node types for a telecommunications build based on the impact of the customer events for the node type.