Embodiments of the disclosure provide methods, apparatus and computer programs for generating a radio coverage map. A method comprises: obtaining image data of a geographical area, the image data comprising: a representation of the environment in the geographical area; and an indication of one or more transmission point locations corresponding to the locations of one or more transmission points in a wireless communications network; and applying a generative model to the image data, to generate a radio coverage map of the geographical area.

Embodiments of the disclosure provide methods, apparatus and computer programs for generating a radio coverage map. A method comprises: obtaining image data of a geographical area, the image data comprising: a representation of the environment in the geographical area; and an indication of one or more transmission point locations corresponding to the locations of one or more transmission points in a wireless communications network; and applying a generative model to the image data, to generate a radio coverage map of the geographical area.

Some examples relate to identifying components of a wireless local area network based on a geographical specification. In an example, a connection may be established between a client device and a wireless access point (WAP) in a wireless local area network (WLAN) comprising a plurality of WAPs. The client device may transmit a geographical specification to a range monitoring engine. The range monitoring engine may identify a component of the WLAN based on the geographical specification and a first set of geographical coordinates of the WAP acting as a reference point.

Some examples relate to identifying components of a wireless local area network based on a geographical specification. In an example, a connection may be established between a client device and a wireless access point (WAP) in a wireless local area network (WLAN) comprising a plurality of WAPs. The client device may transmit a geographical specification to a range monitoring engine. The range monitoring engine may identify a component of the WLAN based on the geographical specification and a first set of geographical coordinates of the WAP acting as a reference point.

A method and apparatus for allocating radio resources in a RAN deployment in an Enterprise Network. Radio resource parameter allocation decisions for all the Base Stations and Access Points (BS/APs) in the deployment are made responsive to network graphs formed using predicted path loss. In one embodiment the predicted path loss values are simulated for a particular enterprise network deployment, network graphs are formed using the path loss values, and radio resources parameters are allocated responsive to the network graphs. Advantageously, the network graphs provide the network with the ability to quickly and efficiently allocate radio resources, which can be automated. In the initial installation, this reduces cost and time. During operation, quick and efficient resource re-allocation provides quick adaptation to resource changes, an advantage that is useful particularly in the context of a CBRS system in which previously-available channels can be terminated.

The disclosed system obtains KPIs and configuration parameters associated with the mature and the immature network. A physical layer of the mature wireless telecommunication network corresponds to a physical layer of the immature wireless telecommunication network. The system combines KPIs of the immature network and KPIs of the mature network to obtain multiple KPIs. The system predicts an attribute associated with the immature wireless telecommunication network, where the attribute depends on multiple other attributes associated with the wireless telecommunication network. To make the prediction, the system provides the multiple key performance indicators and the configuration parameters to a machine learning model trained on data associated with the mature wireless telecommunication network. The machine learning model predicts the value of the attribute associated with the immature wireless telecommunication network based on the multiple key performance indicators and the configuration parameters.

The disclosed system obtains KPIs and configuration parameters associated with the mature and the immature network. A physical layer of the mature wireless telecommunication network corresponds to a physical layer of the immature wireless telecommunication network. The system combines KPIs of the immature network and KPIs of the mature network to obtain multiple KPIs. The system predicts an attribute associated with the immature wireless telecommunication network, where the attribute depends on multiple other attributes associated with the wireless telecommunication network. To make the prediction, the system provides the multiple key performance indicators and the configuration parameters to a machine learning model trained on data associated with the mature wireless telecommunication network. The machine learning model predicts the value of the attribute associated with the immature wireless telecommunication network based on the multiple key performance indicators and the configuration parameters.

The disclosure relates to an electronic device for wireless communication, a wireless communication method and a computer readable medium. According to an embodiment, an electronic device for wireless communication includes a processing circuitry. The processing circuitry is configured to acquire a parameter related to a behavior characteristic of a mobile access point. The processing circuitry is further configure to determine a spectrum allocation manner for the mobile access point based on the parameter.

To provide an interference evaluation apparatus including a station information storage unit configured to store interfering station information indicating station information related to an interfering station causing radio interference in radio communication and interfered station information indicating station information related to an interfered station receiving the interference, and a determination unit configured to perform an interference calculation for calculating an interference power, based on the interfering station information and the interfered station information stored in the station information storage unit, and determine whether the interfering station and the interfered station are usable together, based on the calculated interference power and an acceptable interference power in the interfered station.

According to one configuration, a communication management resource in a wireless network environment records a location of a wireless base station. The communication management resource then defines a region of wireless coverage provided by the wireless base station based on feedback received from the wireless base station. For example, in one arrangement, the user equipment provides performance metrics to the wireless base station. The wireless base station uses the performance metrics to determine boundaries associated with a region of wireless coverage provided by the wireless base station. The wireless base station communicates the boundary information to the communication management resource. Subsequent to identifying the location of the wireless base station and defining the determined region of wireless coverage associated with the wireless base station, the communication management resource then controls allocation of wireless bandwidth in a vicinity of the region of wireless coverage to protect the wireless base station from interference.