A communication method and a system for converging a 5th-Generation (5G) communication system or networks beyond 5G communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for internet of tThings (IoT) are provided. The disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as a smart home, a smart building, a smart city, a smart car, a connected car, health care, digital education, a smart retail, security and safety services. A method of performing minimisation of drive tests (MDT), in a mobile telecommunication network is provided. The method includes providing an MDT measurement relating to a result of an early measurement, wherein the early measurement is a measurement performed in an idle state or an inactive state, and wherein the mobile telecommunication network configures a user equipment (UE) to report to the mobile telecommunication network upon transition to a connected state.

A communication method and a system for converging a 5th-Generation (5G) communication system or networks beyond 5G communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for internet of tThings (IoT) are provided. The disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as a smart home, a smart building, a smart city, a smart car, a connected car, health care, digital education, a smart retail, security and safety services. A method of performing minimisation of drive tests (MDT), in a mobile telecommunication network is provided. The method includes providing an MDT measurement relating to a result of an early measurement, wherein the early measurement is a measurement performed in an idle state or an inactive state, and wherein the mobile telecommunication network configures a user equipment (UE) to report to the mobile telecommunication network upon transition to a connected state.

A structuring and deployment method is provided for a radio access network in a cellular wireless communication system, employing a single or plurality of Radio Access Technologies (RATs). The method consists of: Unifying the performance of non-Radio Transmission Functions (non-RTFs) in multi-RAT systems; providing a flexible RAN topology, comprising reconfigurable Connection Points (CPs) that may be supplemented by reconfigurable RAN Functional Elements (RFEs), that is capable of adapting to system deployment environments; Reconfiguration of the implementation of RAN functions based on changes in the available system hardware and links.

A structuring and deployment method is provided for a radio access network in a cellular wireless communication system, employing a single or plurality of Radio Access Technologies (RATs). The method consists of: Unifying the performance of non-Radio Transmission Functions (non-RTFs) in multi-RAT systems; providing a flexible RAN topology, comprising reconfigurable Connection Points (CPs) that may be supplemented by reconfigurable RAN Functional Elements (RFEs), that is capable of adapting to system deployment environments; Reconfiguration of the implementation of RAN functions based on changes in the available system hardware and links.

A method for establishing a small cell telecommunications network is provided. The method includes determining a plurality of sets of candidate locations, in which each set includes candidate locations for establishing small cell base transceiver stations to provide wireless network service. Each location in the set is determined by applying a gradient descent process to find a local optimal location. The evaluation criteria in the process can include, e.g., an estimated number of people expected to receive coverage, and/or the cost of operating the base transceiver stations. The plurality of sets are evaluated to determine a set of global optimal locations. The evaluation criteria can include, e.g., the expected revenue generated per unit time minus the cost of operating the base transceiver stations per unit time.

A method for establishing a small cell telecommunications network is provided. The method includes determining a plurality of sets of candidate locations, in which each set includes candidate locations for establishing small cell base transceiver stations to provide wireless network service. Each location in the set is determined by applying a gradient descent process to find a local optimal location. The evaluation criteria in the process can include, e.g., an estimated number of people expected to receive coverage, and/or the cost of operating the base transceiver stations. The plurality of sets are evaluated to determine a set of global optimal locations. The evaluation criteria can include, e.g., the expected revenue generated per unit time minus the cost of operating the base transceiver stations per unit time.

Aspects of the subject disclosure may include, for example, obtaining user input identifying a first user-identified network feature of a training image of a geographical region. The training image and the user-identified feature are provided to a neural network adapted to train itself according to the user-identified features to obtain a first trained result that classifies objects within the image according to the user-identified feature. The training image and the first trained result are displayed, and user-initiated feedback is obtained to determine whether a training requirement has been satisfied. If not satisfied, the user-initiated feedback is provided to the neural network, which retrains itself according to the feedback to obtain a second trained result that identifies an updated machine-recognized feature of the training image. The process is repeated until a training requirement has been satisfied, after which a map is annotated according to the machine-recognized feature. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, obtaining user input identifying a first user-identified network feature of a training image of a geographical region. The training image and the user-identified feature are provided to a neural network adapted to train itself according to the user-identified features to obtain a first trained result that classifies objects within the image according to the user-identified feature. The training image and the first trained result are displayed, and user-initiated feedback is obtained to determine whether a training requirement has been satisfied. If not satisfied, the user-initiated feedback is provided to the neural network, which retrains itself according to the feedback to obtain a second trained result that identifies an updated machine-recognized feature of the training image. The process is repeated until a training requirement has been satisfied, after which a map is annotated according to the machine-recognized feature. Other embodiments are disclosed.

A shared spectrum network device in a higher-tier network may include one or more processors configured to receive information provided from a lower-tier network, estimate, based on the information, interference to the higher-tier network from one or more transmitters of the lower-tier network, compare the estimated interference to a threshold value, and identify a geographic zone in which transmission by one or more transmitters of the lower-tier network is limited based on the comparison.

A location-based system detects anomalies in performance indicators of telecommunication networks. The system generates a plurality of service areas, each service area including a plurality of adjacent cell sites. A performance indicator of a first service area of the plurality of service areas is selected and an aggregated service area performance indicator is generated, by aggregating the selected performance indicator for each cell site of the plurality of cell sites of the first service area. Generation of the plurality of service areas may be related to a determined network traffic threshold. The threshold may be related to: total bandwidth provided by a cell site, or total number of calls handled by a cell site. The selected indicator may be, for example the call set-up success rate (CSSR), or the drop call rate (DCR). An alert related to the aggregated indicator may be generated.