The technologies described herein are generally directed to facilitate allocating resources to zones for IOT equipment in a fifth generation (5G) network or other next generation networks. An example method discussed herein includes identifying, by carrier allocation equipment, carrier transmission information corresponding to transmission of a first carrier signal configured to support Internet of things equipment. The method can further comprise analyzing, by the carrier allocation equipment, the carrier transmission information to determine coverage information corresponding to a potential for coverage, by the first carrier signal, of an Internet of things equipment support zone corresponding to a geographic area. The method can further include, based on the coverage information, facilitating configuring transmission parameter information, representative of a transmission parameter applicable to the coverage of the Internet of things equipment support zone by the first carrier signal.

Embodiments of the disclosed techniques disclose methods for planning an indoor radio network for a building. In one embodiment, a method comprises preprocessing an image of a floor plan of the building; generating a radio propagation map for the floor plan using the preprocessed image; and determining an indoor radio transmitter distribution for the floor plan using the radio propagation map.

A hardware system for simulating a network physical layer for communication channels. The hardware system includes a plurality of hardware processors configurable to model a network physical layer and communication channels. The hardware system further includes a multi-point data switch configured to be coupled to various data log points associated with the plurality of hardware processors. The hardware system further includes a RAM coupled to the multi-point data switch, where the RAM is configured to store log data provided by the multi-point data switch as software defined data structures

The present disclosure generally relates to systems and methods for ensuring proper installation of telecommunication equipment. A system in some embodiments has a mobile device equipped with an image sensor that is used to acquire one or more images of a telecommunication equipment component that has been installed. The mobile device may then evaluate at least one such image to determine whether the component has been correctly installed. In addition, the evaluation performed by the mobile device may also be used to ensure that a captured image of the component meets certain predefined criteria for helping the user to capture a quality image of the component for the purpose of proving that it has been correctly installed. Thus, it is more likely that the image will be later useful for establishing that the component has been correctly installed, thereby possibly preventing the need for a truck roll.

The present disclosure generally relates to systems and methods for ensuring proper installation of telecommunication equipment. A system in some embodiments has a mobile device equipped with an image sensor that is used to acquire one or more images of a telecommunication equipment component that has been installed. The mobile device may then evaluate at least one such image to determine whether the component has been correctly installed. In addition, the evaluation performed by the mobile device may also be used to ensure that a captured image of the component meets certain predefined criteria for helping the user to capture a quality image of the component for the purpose of proving that it has been correctly installed. Thus, it is more likely that the image will be later useful for establishing that the component has been correctly installed, thereby possibly preventing the need for a truck roll.

One or more computer processors generate a network fractal based on one or more predicted network conditions for a network that includes a change in user density, user device latency, and network throughput, wherein the network fractal is a deployment template comprised of a plurality of nodes. The one or more computer processors select a configuration of network infrastructure devices placed at each node in the plurality of nodes comprised in the generated network fractal. The one or more computer processors modify the network utilizing the generated network fractal and the selected configuration of network infrastructure devices. The one or more computer processors deploy the modified network.

One or more computer processors generate a network fractal based on one or more predicted network conditions for a network that includes a change in user density, user device latency, and network throughput, wherein the network fractal is a deployment template comprised of a plurality of nodes. The one or more computer processors select a configuration of network infrastructure devices placed at each node in the plurality of nodes comprised in the generated network fractal. The one or more computer processors modify the network utilizing the generated network fractal and the selected configuration of network infrastructure devices. The one or more computer processors deploy the modified network.

Embodiments relate to a system, a vehicle, apparatuses, methods, and computer programs for user equipment, UE, and a network component in a mobile communication system. The method (10) for UE (100) in the mobile communication system (400) comprises measuring (12) a radio channel quality based on a signal transmitted by a communication partner (102) in the mobile communication system (400) and determining (14) information related to a normalized measurement result based on the measured radio channel quality. The method (10) further comprises transmitting (16) the information related to the normalized measurement result to a network component (200) of the mobile communication system (400).

Embodiments relate to a system, a vehicle, apparatuses, methods, and computer programs for user equipment, UE, and a network component in a mobile communication system. The method (10) for UE (100) in the mobile communication system (400) comprises measuring (12) a radio channel quality based on a signal transmitted by a communication partner (102) in the mobile communication system (400) and determining (14) information related to a normalized measurement result based on the measured radio channel quality. The method (10) further comprises transmitting (16) the information related to the normalized measurement result to a network component (200) of the mobile communication system (400).

Systems and methods for a scalable test model for a cellular communications system having multiple different bandwidth and subcarrier combinations are disclosed. Embodiments of a method performed by a test node and corresponding embodiments of a test node are disclosed. In some embodiments, a method performed by a test node comprises generating a test signal for a particular bandwidth and subcarrier spacing combination, the test signal being in accordance with a test model that is scalable for a plurality of different bandwidth and subcarrier spacing combinations. By using the scalable test model, the test model can be flexibly used to test for different bandwidth and subcarrier spacing combinations.