The end-to-end troubleshooting system may use machine learning models to predict the network quality degradation and provide resolution recommendations. The end-to-end troubleshooting system may be a self-evolving closed loop system that helps monitor the network health, provide real-time prediction of network health, and anticipate potential network outages. This intelligent system may provide recommendation resolutions based on the analysis of prediction results.

A method, a computer program, an apparatus, a transportation vehicle, and a network component for controlling a communication link used for tele-operating a transportation vehicle. The method includes obtaining information related to a predicted quality of service (pQoS) for the communication link between the transportation vehicle and a tele-operator of the transportation vehicle and selecting an operating mode for tele-operating the transportation vehicle from a group of operating modes based on the information related to the pQoS, the group of operating modes having two or more operating modes differing at least in a speed limit for the transportation vehicle.

A method for cross-domain service optimization is implemented on a computing device and includes defining at least one key quality indicator (KQI) target for at least one end-to-end (E2E) service, where the at least one E2E service crosses more than one domain of a communications network, receiving an indication of quality of experience (QoE) for the at least one E2E service, based on the indication of QoE, translating the at least one KQI target to at least one set of service optimization instructions for each domain from among the more than one domain, and for each domain, applying the service optimization instructions.

A communication band calculation device includes a traffic amount user distribution setting unit that defines non-overlapping separate section columns having any section width as a state space and sets a user distribution of a traffic amount in accordance with the state space on the basis of user-based traffic information, a transition probability matrix generation unit that generates a transition probability matrix in which a transition probability that a transition from a certain separate section to another separate section in the state space will occur is set as an element on the basis of the user-based traffic information, a prediction computation unit that obtains prediction of the user distribution of the traffic amount at a desired future point in time using a product of the user distribution of the traffic amount which is a starting point of prediction and the transition probability matrix, and a communication band calculation unit that calculates an amount of band facilities required to achieve quality of a communication service at a future point in time on the basis of the user distribution of the traffic amount at the future point in time.

Disclosed are various embodiments for managing computing capacity in radio-based networks and associated core networks. In one embodiment, it is determined that a set of computing hardware implementing a radio-based network for a customer has an excess capacity. At least one action is implemented to reallocate the excess capacity of the computing hardware.

A device may receive historical network behavior data associated with a network that includes network devices and may receive historical weather data associated with a geographical location of the network. The device may receive historical action data identifying historical actions taken for the network in response to the historical weather data, and may train a correlation model, with the historical network behavior data, the historical weather data, and the historical action data, to generate a trained correlation model. The device may receive a weather event forecast associated with the geographical location, and may process the weather event forecast, with the trained correlation model, to determine an anticipated behavior of the network in response to the weather event forecast. The device may process data identifying the anticipated behavior, with the trained correlation model, to identify actions to take in response to the anticipated behavior and may perform the actions.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a device may receive traffic data associated with a coverage area and determine that there is network congestion. If there is network congestion, the device may identify a high-consumption user device. The device may perform a corrective action in connection with a load of the high-consumption user device, such as limit a throughput of the high-consumption user device. The device may perform a corrective action based on a policy obtained from a policy and control function.

An information handling system operating a mesh network link aggregation optimization system may comprise a plurality of mesh access points, and one or more client devices connected via a plurality of wireless links forming a mesh wireless network. A processor may execute code instructions to generate a congestion score for each of the links based on measured traffic and quality of service of each of the links, determine the congestion score for a congested link does not meet a preset congestion threshold value, determine a location within the mesh wireless network in which to aggregate links between two mesh access points, based on availability of one or more radios, and transmit an instruction to one of the plurality of mesh access points to aggregate two or more links at the network layer at the determined location for simultaneous transmission on a single band.

A method of operating a first base station unit to process In-Phase and Quadrature (IQ) data for transmission to a second base station unit, the first and second base station units both being part of a disaggregated base station in a cellular telecommunications network and a method of operating a second base station unit to process a first and second data package processed by a first base station, the method including combining the first and second data packages.

A device receives, from a policy control function (PCF) in a wireless network, at least one set of user equipment device (UE)-location based conditional policy rules. The device determines a geographic location of a UE connected to the wireless network and applies one of the set of UE-location based conditional policy rules to traffic associated with the UE based on the determined geographic location.