The invention relates to a UAV arrangement device based on machine learning for maximizing communication throughput, the UAV arrangement device including: a communication module unit that receives location information and communication demand information of a user and transmits UAV arrangement information; a user information unit that stores and analyzes the location information and the communication demand information of the user; a UAV information unit that stores basic UAV information including UAV communication throughput; and a clustering algorithm modeling unit that calculates a location at which communication throughput is maximized, with a clustering algorithm based on the location information and the communication demand information of the user. The invention relates to a UAV arrangement method based on machine learning for maximizing communication throughput, the UAV arrangement method including: checking location information of a user; checking communication demand of a user; calculating central nodes of respective clusters at which communication throughput is maximized, by using a clustering algorithm; and arranging unmanned aerial vehicles of central nodes of the respective clusters.

The invention relates to a UAV arrangement device based on machine learning for maximizing communication throughput, the UAV arrangement device including: a communication module unit that receives location information and communication demand information of a user and transmits UAV arrangement information; a user information unit that stores and analyzes the location information and the communication demand information of the user; a UAV information unit that stores basic UAV information including UAV communication throughput; and a clustering algorithm modeling unit that calculates a location at which communication throughput is maximized, with a clustering algorithm based on the location information and the communication demand information of the user. The invention relates to a UAV arrangement method based on machine learning for maximizing communication throughput, the UAV arrangement method including: checking location information of a user; checking communication demand of a user; calculating central nodes of respective clusters at which communication throughput is maximized, by using a clustering algorithm; and arranging unmanned aerial vehicles of central nodes of the respective clusters.

A method for determining a layout of a wireless communication network is provided in the present invention. Numerous realizations of user device placement in a considered geometry are measured to reflect the practical distribution of the user devices in a more accurate way than the conventional approach which emulates the randomness of placements of user devices using a tractable stochastic process. Moreover, a scenario sampling approach is used to provide a lower-complexity and higher efficient way to yield optimal base station deployment results while guaranteeing the quality of service of a specified majority of the overall user device realizations.

A method for determining a layout of a wireless communication network is provided in the present invention. Numerous realizations of user device placement in a considered geometry are measured to reflect the practical distribution of the user devices in a more accurate way than the conventional approach which emulates the randomness of placements of user devices using a tractable stochastic process. Moreover, a scenario sampling approach is used to provide a lower-complexity and higher efficient way to yield optimal base station deployment results while guaranteeing the quality of service of a specified majority of the overall user device realizations.

Disclosed are various embodiments for automated deployment of radio-based networks. In one embodiment, a request to provision a radio-based network for a customer by a provider according to a network plan is received via an application programming interface (API) of a cloud provider network. An arrangement of a plurality of cells for the customer is determined. Respective antennas and radio units for individual ones of the plurality of cells are preconfigured to implement the radio-based network before shipping the respective antennas and the radio units to the customer.

Disclosed are various embodiments for automated deployment of radio-based networks. In one embodiment, a request to provision a radio-based network for a customer by a provider according to a network plan is received via an application programming interface (API) of a cloud provider network. An arrangement of a plurality of cells for the customer is determined. Respective antennas and radio units for individual ones of the plurality of cells are preconfigured to implement the radio-based network before shipping the respective antennas and the radio units to the customer.

Apparatuses, methods, and systems for coordinating wireless communication are disclosed. One method includes generating, by a wireless radiator, a plurality of selectable directional wireless communication links capable of providing connectivity across a plurality of cells, wherein each of the cells is spatially different from other cells, and wherein each of the cells covers a cell area, wherein a plurality of hubs are located within the cell area, generating, by a controller, a cell map, wherein the cell map maps which of the directional wireless links, which of the plurality cells, and which of the hubs are active as a function of time, thereby supporting a wireless communication link between the base station and the hubs of the cell area corresponding with the active directional wireless link, and providing the cell map to the base station and the hubs of each of the cells.

Apparatuses, methods, and systems for coordinating wireless communication are disclosed. One method includes generating, by a wireless radiator, a plurality of selectable directional wireless communication links capable of providing connectivity across a plurality of cells, wherein each of the cells is spatially different from other cells, and wherein each of the cells covers a cell area, wherein a plurality of hubs are located within the cell area, generating, by a controller, a cell map, wherein the cell map maps which of the directional wireless links, which of the plurality cells, and which of the hubs are active as a function of time, thereby supporting a wireless communication link between the base station and the hubs of the cell area corresponding with the active directional wireless link, and providing the cell map to the base station and the hubs of each of the cells.

A communication quality calculation unit (11) of a base station placement design device (1) calculates communication quality of each terminal in a case where a base station is installed at a base station placement candidate location for a plurality of base station placement candidate locations. An aggregation unit (12) aggregate the number of terminals whose communication quality calculated by the communication quality calculation unit (11) is equal to or greater than a threshold value for each of the plurality of base station placement candidate locations. A base station placement location selection unit (13) selects a base station placement location from among the plurality of base station placement candidate locations, based on the number of terminals aggregated by the aggregation unit (12) for each of the plurality of base station placement candidate locations.

A communication quality calculation unit (11) of a base station placement design device (1) calculates communication quality of each terminal in a case where a base station is installed at a base station placement candidate location for a plurality of base station placement candidate locations. An aggregation unit (12) aggregate the number of terminals whose communication quality calculated by the communication quality calculation unit (11) is equal to or greater than a threshold value for each of the plurality of base station placement candidate locations. A base station placement location selection unit (13) selects a base station placement location from among the plurality of base station placement candidate locations, based on the number of terminals aggregated by the aggregation unit (12) for each of the plurality of base station placement candidate locations.