There is provided a method for determining a suitability of a cell of a network for deployment as a Multiple-Input Multiple-Output (MIMO) cell. The method includes acquiring data associated with a cell of a network and processing the acquired data associated with the cell of the network using a first machine learnt model to obtain one or more metrics indicative of the suitability of the cell for deployment as a MIMO cell. The method also includes generating an indication of whether the cell is suitable for deployment as a MIMO cell based on the one or more obtained metrics.

There is provided a method for determining a suitability of a cell of a network for deployment as a Multiple-Input Multiple-Output (MIMO) cell. The method includes acquiring data associated with a cell of a network and processing the acquired data associated with the cell of the network using a first machine learnt model to obtain one or more metrics indicative of the suitability of the cell for deployment as a MIMO cell. The method also includes generating an indication of whether the cell is suitable for deployment as a MIMO cell based on the one or more obtained metrics.

In a wireless information collecting method executed by at least one user terminal device that measures wireless information used in a site survey and a server device that stores the wireless information and performs the site survey, the user terminal device performs a step of periodically measuring a current position and transmitting positioning information indicating the current position to the server device, and a step of measuring the wireless information in accordance with a wireless information measurement number instructed by the server device and transmitting wireless information including a position and time to the server device. The server device performs a step of associating a position of the user terminal device and time with the wireless information and creating and updating a condition map indicating a wireless information measurement number at a position and time at which a site survey is performed, and a step of collating the current position of the user terminal and the time with the condition map and transmitting an instruction for the wireless information measurement number based on the current position of the user terminal device and the time to the user terminal device.

In a wireless information collecting method executed by at least one user terminal device that measures wireless information used in a site survey and a server device that stores the wireless information and performs the site survey, the user terminal device performs a step of periodically measuring a current position and transmitting positioning information indicating the current position to the server device, and a step of measuring the wireless information in accordance with a wireless information measurement number instructed by the server device and transmitting wireless information including a position and time to the server device. The server device performs a step of associating a position of the user terminal device and time with the wireless information and creating and updating a condition map indicating a wireless information measurement number at a position and time at which a site survey is performed, and a step of collating the current position of the user terminal and the time with the condition map and transmitting an instruction for the wireless information measurement number based on the current position of the user terminal device and the time to the user terminal device.

An interference detection system in a network identifies a first wireless station that has experienced radio frequency (RF) interference from an unknown source on at least one physical resource block (PRB) and identifies one or more second wireless stations that have experienced similar interference on the at least one PRB. A plurality of estimated interference source locations are determined based at least on geographic locations of the first wireless station and the one or more second wireless stations. The plurality of estimated interference source locations are scored based on a comparison of estimate interference to observed interference at the one or more second wireless stations and a geographical map is generated based on the scored plurality of estimated interference source locations, wherein the geographical map includes indicia indicative of the relative scores of the plurality of estimated interference source locations

A system includes a wireless network and a software defined network overlaid over the wireless network. The software defined network includes at least one UAV having a software defined network device and a bridging radio component. The system includes a communication component in communication with the bridging radio component and a controller connected to the software defined network that makes routing decisions and communicates the routing decisions to the software defined network device.

A system includes a wireless network and a software defined network overlaid over the wireless network. The software defined network includes at least one UAV having a software defined network device and a bridging radio component. The system includes a communication component in communication with the bridging radio component and a controller connected to the software defined network that makes routing decisions and communicates the routing decisions to the software defined network device.

A method for enabling forecasting of key performance indicators, KPIs, in a communication network is presented. The method is performed by a network node and comprises collecting (S100) time series data of KPIs in the communication network, extracting (S110) k-principal components of the collected time series data, determining (S120) a principal component score, PCS, from the collected time series data and the extracted k-principal components, and building (S130) a PCS forecast model from the determined PCS and period of time-attributes. Network nodes and computer program products thereof are also presented.

A method for enabling forecasting of key performance indicators, KPIs, in a communication network is presented. The method is performed by a network node and comprises collecting (S100) time series data of KPIs in the communication network, extracting (S110) k-principal components of the collected time series data, determining (S120) a principal component score, PCS, from the collected time series data and the extracted k-principal components, and building (S130) a PCS forecast model from the determined PCS and period of time-attributes. Network nodes and computer program products thereof are also presented.

Techniques are described for a method of establishing a wireless ad hoc network using a series of wireless relays deployed in a geographical area where an extreme event has occurred. The deployed wireless relays may form a plurality of links between them to form the wireless ad hoc network where each of the wireless relays may serve as node in the wireless ad hoc network. The ad wireless hoc network may provide wireless services to devices within the geographical area. The wireless relays may be deployed to various locations within the geographical area using a plurality of unmanned aerial vehicles (UAVs) that may receive control commands from a relay control device.