A method of reinforcement learning is used for placement of a plurality of service functions at nodes of a telecommunications network. The state of the system is defined by an allocation matrix, wherein each first vector of the allocation matrix corresponds to a respective one of the nodes of the telecommunications network, each second vector of the allocation matrix corresponds to a respective one of the plurality of service functions. Moreover, each cell of the allocation matrix contains a value 1 if the one of the plurality of service functions corresponding to the respective second vector is placed on the one of the nodes of the telecommunications network corresponding to the respective first vector, and otherwise contains a value 0.

A processor obtains a plurality of instances of access point observation information. Each instance of access point observation information comprises (a) radio observation information corresponding to observation of one or more access points by a respective mobile device and (b) location information comprising an indication of a location of the respective mobile device when the respective mobile device observed the one or more access points. For one or more instances of access point observation information, based at least on the location information of the instance and a digital map that is accessible to the at least one processor, the process identifies a respective (TME) of the digital map that represents a portion of a traversable network where the mobile device was located when the mobile device observed the one or more access points; and associates at least a portion of the radio observation information with the respective TME.

Implementations described and claimed herein provide systems and methods for identification of connection areas 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 connection type and a collection of network sites including the connection type is generated from the customer set. An overlay of customer sites without the connection type may be applied to the collection of network sites to generate an intersection of non-connected customer sites within the collection of network sites including the connection type. The intersection provides an indication of underserviced sites connection to the telecommunication network for potential network growth.

Implementations described and claimed herein provide systems and methods for identification of connection areas 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 connection type and a collection of network sites including the connection type is generated from the customer set. An overlay of customer sites without the connection type may be applied to the collection of network sites to generate an intersection of non-connected customer sites within the collection of network sites including the connection type. The intersection provides an indication of underserviced sites connection to the telecommunication network for potential network growth.

A system for locating an optimal location of a reception antenna that has an unmanned aerial vehicle (UAV), a wireless internet service provider (WISP) tower configured for transmitting radio signals, and an antenna removably coupled to the unmanned aerial vehicle, the antenna configured for receiving the radio signals. Further, the system has a processor for automatically flying the UAV to a height, for rotating the unmanned aerial vehicle at the height and detecting the radio signals from the at least one WISP tower as the UAV rotates to determine an optimal azimuth, and if the radio signals received are not conducive for the provision of wireless services at the height, the processor moves the UAV to different heights and rotates the UAV until radio signals received are conducive for the provision of wireless services thereby determining an optimal azimuth and location altitude range for a reception antenna.

A mobile communication system comprises a radio base station configured to manage a cell having a first coverage and a second coverage which is a portion enhanced more than the first coverage; a radio relay node configured to receive, from the radio base station, a plurality of data having different destination radio terminals from each other, and transmit the plurality of data simultaneously to a plurality of radio terminals in the second coverage; and a radio terminal configured to be located in the second coverage, receive one or a plurality of control signals transmitted from the radio base station or the radio relay node. The radio terminal is configured to perform a process of receiving data addressed to own radio terminal from the radio relay node based on the one or the plurality of control signals.

A mobile communication system comprises a radio base station configured to manage a cell having a first coverage and a second coverage which is a portion enhanced more than the first coverage; a radio relay node configured to receive, from the radio base station, a plurality of data having different destination radio terminals from each other, and transmit the plurality of data simultaneously to a plurality of radio terminals in the second coverage; and a radio terminal configured to be located in the second coverage, receive one or a plurality of control signals transmitted from the radio base station or the radio relay node. The radio terminal is configured to perform a process of receiving data addressed to own radio terminal from the radio relay node based on the one or the plurality of control signals.

Apparatus and methods for providing interference management and load balancing in a wireless network. In one embodiment, the method and apparatus utilize quasi-licensed CBRS (Citizens Broadband Radio Service) wireless spectrum in conjunction with enhanced SAS (Spectrum Access System) and base station (e.g., CBSD) components to enable creation and management of virtual clusters of bases stations connected to the network, so as to enable inter-cluster interference mitigation, while also supporting load balancing between the base stations using coverage area overlap. In one implementation, the SAS reduces the coverage area (transmit power) of one or more base stations on a cluster edge to mitigate inter-cluster interference, and increases or adjusts the coverage of one or more base stations inside of the cluster to enable load balancing.

Apparatus and methods for providing interference management and load balancing in a wireless network. In one embodiment, the method and apparatus utilize quasi-licensed CBRS (Citizens Broadband Radio Service) wireless spectrum in conjunction with enhanced SAS (Spectrum Access System) and base station (e.g., CBSD) components to enable creation and management of virtual clusters of bases stations connected to the network, so as to enable inter-cluster interference mitigation, while also supporting load balancing between the base stations using coverage area overlap. In one implementation, the SAS reduces the coverage area (transmit power) of one or more base stations on a cluster edge to mitigate inter-cluster interference, and increases or adjusts the coverage of one or more base stations inside of the cluster to enable load balancing.

Disclosed are various embodiments for optimized sensor deployment and fault detection in the context of agricultural irrigation and similar applications. For instance, a computing device may execute a genetic algorithm (GA) routine to determine an optimal sensor deployment scheme such that a mean-time-to-failure (MTTF) for the system is maximized, thereby improving communication of sensor measurements. Moreover, in various embodiments, a centralized fault detection scheme may be employed and a soil moisture of a field can be determined by statistically inferring soil moistures at locations of faulty nodes using spatial and temporal correlations.