The present disclosure provides a method for radio frequency fingerprint database creation, a method for radio frequency fingerprint database application, a device, a centralized processing device and a base station. During creating a radio frequency fingerprint database, neighbor cell information statistics is performed on each of a plurality of neighbor cells of the cell in each of the plurality of divided grids, and an effective radio frequency fingerprint database corresponding to the cell is generated according to a result of the dividing and a result of the neighbor cell information statistics.

According to an aspect, a source node determines (1002) that a UE served by the source node is a candidate for conditional handover configuration. The source node sends (1004), to a target node for conditional handover of the UE, a conditional handover request that includes one or more parameters indicative of a likelihood that handover of the UE to the target node will be executed. The target node receives (1102) the request and parameters and allocates (1104) resources for the UE, taking into account the likelihood that handover of the first UE to the target node will be executed. The target node sends (1106) handover configuration information for the first UE to the source node, in response to the conditional handover request.

In accordance with an example embodiment, there is disclosed a method comprising: measuring, by a user equipment, more than one communication beam established at the user equipment in a communication network; acquiring information associated with measurements of more than one communication beam established at the user equipment in the communication network; based on the information, deriving a cell measurement quantity as a function of the performed measurements of more than one communication beam.

Aspects of the subject disclosure may include, for example, receiving video content streams from multiple source mobile devices and identifying that the video content streams pertain to a same event. Additional aspects may include identifying end mobile devices for the video content streams and determining a portion of the end mobile devices are coupled to one communication network and another communication network. Further aspects can include identifying a predicted traffic pattern on the first communication network based on the multiple video content streams pertaining to the same event and that the portion of the multiple end mobile devices are communicatively coupled to the first communication network. Additional aspects may include transmitting a portion of the video content streams across the first communication network and transmitting another portion of the video content streams across the second communication network according to the predicted traffic pattern. Other embodiments are disclosed.

During operation, an access point aggregates communication-performance information and behavior information in a wireless local area network (WLAN) corresponding to an electronic device, where the communication-performance information and the behavior information are aggregated over a time interval that is longer than an instance of a connection or association of the electronic device to the WLAN. Then, the access point provides the communication-performance information and the behavior information to a second electronic device. After receiving information about another instance of a connection or association of the electronic device to the WLAN, the access point provides a request to the second electronic device for historical information about communication performance and behavior of the electronic device in the WLAN. Moreover, after receiving the historical information, the access point selectively provides the transition recommendation in the WLAN to the electronic device, where the transition recommendation is based at least in part on the historical information.

According to an aspect, a wireless device (111) receives, from a network node (101), a measurement object (125) that includes a list (127) of one or more cells for which to report a cell global identifier, CGI, or a list (129) of one or more cells for which not to report the CGI. Alternatively, the wireless device (111) may receive, from a network node (101), a measurement reporting configuration information element or a measurement identity information element of a measurement configuration that includes a list (127) of one or more cells for which to report a CGI or a list (129) of one or more cells for which not to report a CGI.

An apparatus comprises: at least one processor; and at least one memory including computer program code; the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to: use a first base station central unit coupled to a first base station distributed unit in dependence on a computational capacity of the first base station central unit.

A vehicle communication system includes an in-vehicle router. The in-vehicle router includes a Wi-Fi module, a GPS, a vehicle speed acquirer, and an in-vehicle CPU. The Wi-Fi module is a module mounted on a vehicle and provided connectable to an access point of a wireless LAN. The GPS acquires vehicle position information indicating the position of the vehicle. The vehicle speed acquirer acquires vehicle speed information indicating the speed of the vehicle. The in-vehicle CPU determines the access point to be connected to the Wi-Fi module based on the vehicle position information and the vehicle speed information.

Methods and systems are described for generating and utilizing a pattern of association. The pattern of association can comprise information that indicates to which of a plurality of network devices one or more mobile devices are likely to connect. The pattern of association can comprise information that indicates an order of association. The pattern of association can be associated with one or more factors which can be any information that provides insight into the pattern of association. The pattern of association can be used to identify a next network device that a mobile device will transition to based on which network device the mobile device is currently connected to. Data, such as authentication information, can be pushed to the identified next network device to reduce network connectivity issues that may occur by transitioning between network devices.

Embodiments herein provide a method handover management in a wireless network (1000). Ultra-reliable low latency communication (URLLC) is a key feature in 5G which requires improved mobility performance and reliability. In future, the number of mobility (handover) scenarios is bound to increase many folds, and without proper technologies, the number of mobility may induce more handover failures. For a better quality of experience (QoE) in 5G new radio (NR), it is important to have minimal interruption time and a high handover success rate. The method in the present disclosure provides a novel machine learning (ML) based advance handover (HO). Further, the method provides initiating HO, by a source gNB in advance before a user equipment (UE) runs into radio link failure (RLF) to ensure less handover failure (HOF) rate.