A network-side device, user equipment, and method for blind area management. The network-side device includes a receiving module configured to receive measurement information sent by user equipment, a processor, and a non-transitory computer-readable storage medium storing a program to be executed by the processor. The program includes instructions to identify a status of the user equipment according to the measurement information received from the user equipment, wherein the status of the user equipment is a normal communication state or a blind area state, and the blind area state includes at least one of a beam biased state, an interfered state, or a blocked state, and perform blind area management of the user equipment when the user equipment is in the blind area state.

An auxiliary apparatus for wireless network deployment, portable terminal and method for wireless network deployment. The apparatus includes: a transmitting unit configured to broadcast a link detection request; a collecting unit configured to collect link detection responses received within a predetermined time; a first determining unit configured to, taking nodes transmitting the link detection response as reference nodes, determine a target reference node and non-target reference nodes of the apparatus; a second determining unit configured to determine a link connection status of the apparatus relative to each reference node according to the link detection responses; and a third determining unit configured to determine a movement direction and distance of the apparatus according to the link connection status of the apparatus relative to each reference node. Hence, personnel of wireless network deployment are assisted in a practical deployment scenario in precisely deploying nodes in the wireless network.

Methods and apparatus for detecting a traffic suppression turning point in a communications system based on traffic behavior are provided. Models representing relationship between traffic loads and a key performance indicator of a cell or a cluster of cells may be built and tested to generate a set of prediction errors corresponding to a plurality of traffic load ranges. The prediction errors are examined against a criteria to determine a traffic suppression turning point in terms of traffic loads. The models built may also be used to calculate a set of KPI slope values corresponding to different traffic load ranges. The set of KPI slope values are examined against a criteria to determine a traffic suppression turning point in terms of traffic loads.

Methods and apparatus for detecting a traffic suppression turning point in a communications system based on traffic behavior are provided. Models representing relationship between traffic loads and a key performance indicator of a cell or a cluster of cells may be built and tested to generate a set of prediction errors corresponding to a plurality of traffic load ranges. The prediction errors are examined against a criteria to determine a traffic suppression turning point in terms of traffic loads. The models built may also be used to calculate a set of KPI slope values corresponding to different traffic load ranges. The set of KPI slope values are examined against a criteria to determine a traffic suppression turning point in terms of traffic loads.

A core provider predicts that a device will enter an area of poor coverage by a wireless network provider. Based on the prediction, one or more rules are applied to prioritize data traffic to be received prior to entering the area of poor coverage. The prediction that the device will enter the area of poor coverage may be based on cell coverage data received from the wireless network provider, connection quality data received from other devices, a location of the device, a speed of the device, a direction of the device, or any suitable combination thereof. A route of the device may be changed to avoid or minimize an amount of time in the area of poor coverage. As another alternative, the device may be switched from the wireless network provider to another wireless network with better coverage.

A core provider predicts that a device will enter an area of poor coverage by a wireless network provider. Based on the prediction, one or more rules are applied to prioritize data traffic to be received prior to entering the area of poor coverage. The prediction that the device will enter the area of poor coverage may be based on cell coverage data received from the wireless network provider, connection quality data received from other devices, a location of the device, a speed of the device, a direction of the device, or any suitable combination thereof. A route of the device may be changed to avoid or minimize an amount of time in the area of poor coverage. As another alternative, the device may be switched from the wireless network provider to another wireless network with better coverage.

A computer-implemented method for determining a neighbor tier relationship between first and second cells in a wireless communications network that includes a plurality of cell sites includes establishing respective cell site shapes for the plurality of cell sites including the first and second cells, each shape representing a coverage area of a corresponding cell site, establishing cell shapes for the cells of the plurality of cell sites, determining a tier relationship between the first and second cells based on a number of cell polygons between the first and second cells, and storing the tier relationship in a memory. The tier relationship may be used to support various cellular activities such as ANR and reuse code disambiguation routines.

A computer-implemented method for determining a neighbor tier relationship between first and second cells in a wireless communications network that includes a plurality of cell sites includes establishing respective cell site shapes for the plurality of cell sites including the first and second cells, each shape representing a coverage area of a corresponding cell site, establishing cell shapes for the cells of the plurality of cell sites, determining a tier relationship between the first and second cells based on a number of cell polygons between the first and second cells, and storing the tier relationship in a memory. The tier relationship may be used to support various cellular activities such as ANR and reuse code disambiguation routines.

Mobile base station information is exchanged with an other base station. One or more parameters are exchanged with the other base station based on the base station information. A mobile base station is configured based at least in part on the negotiated one or more parameters. The configured mobile base station is used to provide cellular coverage to one or more user devices.

Mobile base station information is exchanged with an other base station. One or more parameters are exchanged with the other base station based on the base station information. A mobile base station is configured based at least in part on the negotiated one or more parameters. The configured mobile base station is used to provide cellular coverage to one or more user devices.