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.

A method is disclosed for improved tracking area planning and handling, comprising: assigning a single tracking area code to a plurality of eNodeBs at a messaging concentrator gateway, the messaging concentrator gateway situated in a network between the plurality of eNodeBs and the core network; storing, at the messaging concentrator gateway, at least one indicator of a last known location of a user equipment (UE) other than the single tracking area code; receiving a paging message from the core network at the messaging concentrator gateway for a UE; and performing a paging sequence using the at least one indicator to identify a set of eNodeBs to page the UE, thereby allowing larger tracking area list sizes to be used without increasing signaling traffic between the radio access network and the core network.

In a mobile station which communicates with a base station corresponding to a serving cell that is a cell in which the mobile station is located, of a plurality of cells, an acquirer is configured to acquire a situation of movement of the mobile station. A changer is configured to change a criterion used to determine whether to switch a communication destination from a first base station corresponding to the serving cell to a second base station corresponding to an adjacent cell neighboring the serving cell, in response to the situation of movement of the mobile station acquired by the acquirer and a positional relationship between the serving cell and the adjacent cell.

Aspects of the subject disclosure may include, for example, collecting network data for a plurality of cells of a cellular communication network, identifying a particular cell of the plurality of cells is in an un-responsive state, wherein the identifying is based on the network data, selecting a plurality of user equipment (UE) devices as UE test devices, forcing cell reselection attempts, handover attempts, or both, by the UE test devices to communicate with the particular cell, confirming the particular cell is in the un-responsive state based on failure of the cell reselection attempts or failure of the handover attempts, and communicating a restart signal from the processing system to cause the particular cell to restart to a responsive state. Other embodiments are disclosed.

A method comprises receiving an area of interest (AOI) selection. The method further comprises accessing an AOI device location data for the AOI, the AOI device location data indicating locations of devices over time received within the AOI. The AOI device location data is filtered to only include the device location data that match one or more characteristics. A proximity zone is determined for the for the AOI that includes the area of the AOI. A zone device location data for the proximity zone is determined, which indicates locations of devices over time reported within the proximity zone. The method further comprises normalizing the filtered AOI device location data by computing a ratio of the filtered AOI device location data and the zone device location data to generate an AOI user estimate, and transmitting the AOI user estimate to a client device of a requestor.

A user equipment (“UE”) can receive a request for UE mobility history information from a network node. The UE can generate a UE mobility history report. The UE mobility history report can include at least one of transitions between an inactive state and a connected state for each cell included in the UE mobility history report or a carrier frequency of each cell included in the UE mobility history report. The UE can transmit the UE mobility history report to the network node.

Intelligent event-based network routing is described herein. A device connected to a first network can determine an occurrence of an event and, responsive to determining the occurrence of the event, can determine contextual data associated with the event. The device can retrieve a data model that has been trained based on historical network usage data indicating one or more network usage patterns associated with the device, and can analyze the contextual data based at least in part on the data model to determine whether a change to a second network is warranted. Based on an output of the data model, the device can effectuate a change from the first network to the second network or refrain from effectuating a change from the first network to the second network. That is, intelligent event-based network routing can facilitate routing data communication based on user preferences to optimize user experience.

A method is disclosed for improved tracking area planning and handling, comprising: assigning a single tracking area code to a plurality of eNodeBs at a messaging concentrator gateway, the messaging concentrator gateway situated in a network between the plurality of eNodeBs and the core network; storing, at the messaging concentrator gateway, at least one indicator of a last known location of a user equipment (UE) other than the single tracking area code; receiving a paging message from the core network at the messaging concentrator gateway for a UE; and performing a paging sequence using the at least one indicator to identify a set of eNodeBs to page the UE, thereby allowing larger tracking area list sizes to be used without increasing signaling traffic between the radio access network and the core network.

A wireless communication device may detect, within a specified time duration, at least a specified number of occurrences of a sequence of events, which includes the wireless communication device transitioning from a second cellular network operating according to a second radio access technology (RAT) to a first cellular network operating according to a first RAT, the wireless communication device failing to remain on the first cellular network for more than a specified time duration, and the wireless communication device returning from the first cellular network to the second cellular network. At least in response to this detection, the wireless communication device may determine whether to attempt future transition to the first cellular network while operating in the second network, based on one or more conditions, and/or may adjust one or more parameters used by the wireless communication device to determine when to redirect from the second cellular network to the first cellular network.

In a cellular communications network, user equipment connected to a base station, the active mode handover behavior of the base station for selecting handover targets is set to be different from idle mode reselection. The MME provides its eNodeBs with supplemental information about other PLMNs which can be considered for handover in accordance with dynamic criteria such as the time, location, subscriber group, etc to allow dynamic handover to other PLMNs in accordance with the commercial agreements.