A base station device includes: a memory; and a processor coupled to the memory, wherein the processor is configured to: execute control for transmitting, when the base station device is started, location information relevant to the base station device to a server device; execute control for receiving, from the server device, setting information relevant to the location information, the setting information being used for setting the base station device; and execute initial setting of the base station device by using the setting information.

Embodiments described are directed to the evaluation of a dynamically changing communication network environment to ensure that individual participant thresholds and network-centric thresholds are maintained and satisfied. A plurality of conditions for multiple dimensions of data are set for each participant in the network and for the network as a whole. The participant and network conditions, along with the participant capabilities, are considered holistically across the entire network to determine if the network and the participants are meeting thresholds for the different dimensions of data. In various embodiments, the thresholds, either at an individual participant level or at the network level, may be augmented with priorities to ensure that higher priorities are satisfied. The conditions, thresholds, or priorities, or some combination thereof, may be modified throughout the evaluation to improve the satisfaction of the thresholds, which optimize the network by at least one data dimension against at least one threshold.

Embodiments described are directed to the evaluation of a dynamically changing communication network environment to ensure that individual participant thresholds and network-centric thresholds are maintained and satisfied. A plurality of conditions for multiple dimensions of data are set for each participant in the network and for the network as a whole. The participant and network conditions, along with the participant capabilities, are considered holistically across the entire network to determine if the network and the participants are meeting thresholds for the different dimensions of data. In various embodiments, the thresholds, either at an individual participant level or at the network level, may be augmented with priorities to ensure that higher priorities are satisfied. The conditions, thresholds, or priorities, or some combination thereof, may be modified throughout the evaluation to improve the satisfaction of the thresholds, which optimize the network by at least one data dimension against at least one threshold.

A method is provided. The method comprises receiving link information for each link of aggregated links, where the received link information comprises data for each link including at least one capacity, and corresponding availability due to one or more link availability factors; and generating availability data for each capacity of the aggregated links.

The present technology includes calculating the 3-D RF propagation pattern in a space for at least one Wi-Fi access point and displaying a visualization of the RF propagation pattern in augmented reality (AR). The augmented reality view of the space can be created by capturing at least one image of the space and displaying at least one image of the space on a display with the visualization of the Wi-Fi access point RF propagation pattern on the display overlaid at least one image of the space. The disclosed technology further can calculate the RF propagation properties and render a visualization of the RF propagation patterns in a 3D space by utilizing hardware on a user device. The AR display is useful in visualizing, in-person aspects of a Wi-Fi network and coverage, and can be used in troubleshooting, maintenance, and simulations of equipment variations.

The present technology includes calculating the 3-D RF propagation pattern in a space for at least one Wi-Fi access point and displaying a visualization of the RF propagation pattern in augmented reality (AR). The augmented reality view of the space can be created by capturing at least one image of the space and displaying at least one image of the space on a display with the visualization of the Wi-Fi access point RF propagation pattern on the display overlaid at least one image of the space. The disclosed technology further can calculate the RF propagation properties and render a visualization of the RF propagation patterns in a 3D space by utilizing hardware on a user device. The AR display is useful in visualizing, in-person aspects of a Wi-Fi network and coverage, and can be used in troubleshooting, maintenance, and simulations of equipment variations.

Aspects of the subject disclosure may include, for example, generating, at a first point in time, a first prediction regarding a likelihood that a communication device will attempt to connect to a service of a network at a second point in time that is subsequent to the first point in time, generating, at a third point in time that is prior to the second point in time, a second prediction regarding a scope of coverage of the network at the second point in time, and generating, by the processing system, a first ad-hoc network, modifying, by the processing system, a parameter of a second ad-hoc network, or a combination thereof, in accordance with the first prediction and the second prediction to extend the scope of coverage. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, generating, at a first point in time, a first prediction regarding a likelihood that a communication device will attempt to connect to a service of a network at a second point in time that is subsequent to the first point in time, generating, at a third point in time that is prior to the second point in time, a second prediction regarding a scope of coverage of the network at the second point in time, and generating, by the processing system, a first ad-hoc network, modifying, by the processing system, a parameter of a second ad-hoc network, or a combination thereof, in accordance with the first prediction and the second prediction to extend the scope of coverage. Other embodiments are disclosed.

A method (20) of planning deployment of a node (2c) in a communications network (1) is disclosed. The method (20) is performed by an unmanned aerial vehicle (3) and comprises: flying (21) to a candidate location (c1, . . . , c9), performing (22), at the candidate location (c1, . . . , c9), measurements on a wireless link (La, Lb) to at least one network node (2a, 2b), and providing (23) measurement results of the measurements to an entity (9). A corresponding method in an entity is also provided, an unmanned aerial vehicle, an entity, computer programs and computer program products.

A method (20) of planning deployment of a node (2c) in a communications network (1) is disclosed. The method (20) is performed by an unmanned aerial vehicle (3) and comprises: flying (21) to a candidate location (c1, . . . , c9), performing (22), at the candidate location (c1, . . . , c9), measurements on a wireless link (La, Lb) to at least one network node (2a, 2b), and providing (23) measurement results of the measurements to an entity (9). A corresponding method in an entity is also provided, an unmanned aerial vehicle, an entity, computer programs and computer program products.