A method, a device, and a computer program product for managing a mobile terminal are provided. In one method, a first position of the mobile terminal at a first time point and a first signal quality of a mobile network signal of the mobile network at the first position are detected, respectively; a signal quality distribution of the mobile network signal in a surrounding area of the first position is acquired; a prediction of a second signal quality of a mobile network signal to be received by the mobile terminal at a second time point is obtained according to the signal quality distribution, the second time point being a future time point after the first time point; and according to the first signal quality and the prediction of the second signal quality, a second service quality to be provided to the mobile terminal at the second time point is determined.

A method, a device, and a computer program product for managing a mobile terminal are provided. In one method, a first position of the mobile terminal at a first time point and a first signal quality of a mobile network signal of the mobile network at the first position are detected, respectively; a signal quality distribution of the mobile network signal in a surrounding area of the first position is acquired; a prediction of a second signal quality of a mobile network signal to be received by the mobile terminal at a second time point is obtained according to the signal quality distribution, the second time point being a future time point after the first time point; and according to the first signal quality and the prediction of the second signal quality, a second service quality to be provided to the mobile terminal at the second time point is determined.

The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). According to various embodiments of the present disclosure, an operating device connected to at least one base station in a wireless communication system comprises at least one transmitter-receiver and at least one processor connected to the at least one transmitter-receiver, wherein the at least one processor can determine a coverage formed by beams of the at least one base station and change a beam operation configuration for the at least one base station when the number of beams, which can be provided to a terminal, is greater than or equal to a threshold value or another terminal is positioned outside the coverage. This study was conducted with the support of the “Cross-Ministry Giga KOREA Project” by the government (Ministry of Science, Technology and Information) in 2017 (No. GK17N0100, Development of Millimeter Wave 5G Mobile Communication System).

The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). According to various embodiments of the present disclosure, an operating device connected to at least one base station in a wireless communication system comprises at least one transmitter-receiver and at least one processor connected to the at least one transmitter-receiver, wherein the at least one processor can determine a coverage formed by beams of the at least one base station and change a beam operation configuration for the at least one base station when the number of beams, which can be provided to a terminal, is greater than or equal to a threshold value or another terminal is positioned outside the coverage. This study was conducted with the support of the “Cross-Ministry Giga KOREA Project” by the government (Ministry of Science, Technology and Information) in 2017 (No. GK17N0100, Development of Millimeter Wave 5G Mobile Communication System).

Embodiments of a device and method are disclosed. In an embodiment, a method of network deployment involves at a cloud server, determining a planned network design for a network to be deployed at a customer site, at the cloud server, receiving network device information and location information of a network device after the network device is deployed at the customer site, and at the cloud server, automatically performing network deployment deviation detection for the network device based on the planned network design and the network device information and the location information of the network device.

Embodiments of a device and method are disclosed. In an embodiment, a method of network deployment involves at a cloud server, determining a planned network design for a network to be deployed at a customer site, at the cloud server, receiving network device information and location information of a network device after the network device is deployed at the customer site, and at the cloud server, automatically performing network deployment deviation detection for the network device based on the planned network design and the network device information and the location information of the network device.

Embodiments of a device and method are disclosed. In an embodiment, a method of automatic network design involves at a cloud server, obtaining site survey result information of a customer site and at the cloud server, determining a network design for a network to be deployed at the customer site based on the site survey result information, prior to deploying the network to be deployed at the customer site, where the network design includes a Bill of Materials (BoM) and a connectivity map for the network to be deployed at the customer site.

Embodiments of a device and method are disclosed. In an embodiment, a method of automatic network design involves at a cloud server, obtaining site survey result information of a customer site and at the cloud server, determining a network design for a network to be deployed at the customer site based on the site survey result information, prior to deploying the network to be deployed at the customer site, where the network design includes a Bill of Materials (BoM) and a connectivity map for the network to be deployed at the customer site.

An example device in accordance with an aspect of the present disclosure includes an overlay engine, storage engine, and visualization engine. The overlay engine is to generate a static overlay, the storage engine is to store a plurality of static overlays generated by the overlay engine, corresponding to a plurality of time periods. The visualization engine is to visualize dynamic characteristics of the RF information based on generating an animated visualization showing progression of the RF information over time to illustrate historical trending of the dynamic characteristics.

Network planning based on collected crowd-sourced access point quality and selection data can optimize access point frequency and/or bandwidth selection. A cloud-based application can be utilized in conjunction with a mobile device to build a database of access point quality and thresholds suitable for real-time and other jitter-sensitive services. The mobile device jitter measurements and selection thresholds can be collected at a cloud platform, which creates an access point performance and selection threshold profile from which the network can facilitate access point frequency and/or bandwidth selections.