A method and a system for supporting mobility of a mobile terminal in a distributed mobile network based on a SDN are disclosed. A method of supporting a fast handover of a mobile terminal in a node-B (eNB) includes the steps of: receiving a handover initiation message from the mobile terminal, the handover initiation message including identification information and signal strength of a target eNB; determining whether or not for a fast handover trigger using the signal strength of the target eNB and movement history of the mobile terminal previously stored; and when it is determined as the fast handover trigger, transmitting a handover request message and a rule for the handover to the target eNB by using the identification information of the target eNB.

Implementations of the disclosed subject matter provide a method of connecting, via a communications interface of an autonomous mobile device, to both a first communication network and a second communication network. A third communication network may be connected to when the communications interface is disconnected. A map may be stored that includes a first one or more locations of the autonomous mobile device where the plurality of communications networks are accessible, and includes a second one or more locations of the autonomous mobile device where one or more of the plurality of communications networks have been disconnected. At a different time, when the autonomous mobile device is within a predetermined distance of one of the locations that the communications networks have been disconnected, the third communications network or another one of the plurality of communications networks may be switched to based on the map.

A method of operating a terminal includes receiving, from a source cell, a radio resource control (RRC) reconfiguration message including a list of a plurality of first objects in a measurement order, reordering the list of the plurality of first objects based on handover information to obtain a reordered list, the handover information corresponding to a connection history of the terminal, sequentially measuring the plurality of first objects based on the reordered list to obtain a measurement result; and transmitting a measurement report to the source cell based on the measurement result.

Determining to initiate a user equipment handover event based on a signal-to-interference-plus-noise ratio value is disclosed. The disclosed subject matter can employ the signal-to-interference-plus-noise ratio value in lieu of a reference signal receive power value. In an aspect, a handover based on the signal-to-interference-plus-noise ratio value can generally be determined faster and with greater reliability than basing the handover on the reference signal receive power value. In an aspect, some embodiments can substitute a determined uplink signal-to-interference-plus-noise ratio value for a downlink signal-to-interference-plus-noise ratio value. In some embodiments, a predicted signal-to-interference-plus-noise ratio value can be determined based on historical channel characteristics, hysterical wireless network environment features, or other historical data. A predicted signal-to-interference-plus-noise ratio value can be validated to a determined current signal-to-interference-plus-noise ratio value, permitting a validated predicted value to be employed until a next validation event.

A method for identifying a client device in a network, and a first radio in the network that is coupled with the client device is provided. The method includes determining one or more sequences of roaming events for multiple client devices in the network, evaluating a performance metric for a roaming event and evaluating an interaction between the client device and one or more radios involved in the roaming events for the plurality of client devices. The method also includes selecting a second radio in the network based at least in part on (1) the one or more sequences of roaming events, (2) the performance metric, and (3) the interaction between the client device and the one or more radios, and recommending switching the client device from the first radio to the second radio. A system and a predictive tool to perform the above method are also provided.

In order to prevent deterioration of QoE of a user in intersystem handover, an apparatus according to the present invention includes: an information obtaining unit configured to obtain network slice related information related to a network slice used by a terminal apparatus in a first radio communication system; and a first communication processing unit configured to transmit, to a second network node of a second radio communication system, a message for intersystem handover of the terminal apparatus from the first radio communication system to the second radio communication system, the message including the network slice related information.

Devices, systems, and methods for optimizing a mesh network by cloud computing. A cloud network controller may receive from multiple access points (APs) in a mesh network information related to channel quality based on measurements taken by the APs. Based on this information, the cloud network controller may forecast one or more optimal channels based on the information related to channel quality. The cloud network controller my then send to the multiple APs a message including a recommendation to switch to the one or more optimal channels based on the forecasting. The AP may then make a decision to carry out the recommended channel switch.

Decision-making equipment (22) is configured for link change decision-making using reinforcement learning. The decision-making equipment (22) is configured to track rewards (30-1, . . . 30-M) earned for, and outcomes (28-1, . . . 28-M) of, respective link change decisions (26-1, . . . 26-M). In some embodiments, possible outcomes of a link change decision to change a serving link of a wireless device to a target link include at least: a change of the serving link of the wireless device from the target link to another link; and a network-initiated disconnect of the wireless device from the target link. Regardless, the decision-making equipment (22) is also configured to make a link change decision (28-(M+1)) based on the tracked rewards (30-1, . . . 30-M) and outcomes (28-1, . . . 28-M).

A method for predicting, for a vehicle that is connected to a current cellular access point and is traveling on a road network, at least one characteristic associated with a modification of the linkage conditions of the vehicle to the cellular network. The method includes: training a first prediction model associated with the current access point from crowdsourced data collected from at least one training vehicle, the data comprising at least a first location, a speed and a direction of the training vehicle as well as a second location of the training vehicle collected when a disconnection from the current access point is detected; and predicting a third location at which a second vehicle will be disconnected from the current access point while traveling on the road network by applying the prediction model to a location, a speed, and a direction of the second vehicle.

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.