Abstract: Methods and apparatuses for improving telecommunications services by intelligently deploying redundant links within a data center hierarchy to satisfy latency, power, availability, and quality of service requirements are described. A data center hierarchy of a cellular network is established with a first data center layer, a second data center layer, and a third data center layer. A first redundant link is established between a first node in the first data center layer and a third node in the third data center layer. In response to detecting that a failure rate of the first data center layer exceeds a threshold failure rate, the first redundant link is removed and a second redundant link is added between the third node and a second node in the second data center layer.

Abstract: Systems and methods are provided for adaptive mini-slot management in a network, including an element management control unit comprising a set of distribution and central units (DU/CU) to monitor power and channel traffic at a plurality of cell sites in the network; a scheduler unit for user equipment (UE) to enable and disable a set of mini-slots in a downlink (DL) pattern and an uplink (UL) pattern including at least two concatenated patterns jointly repeated with periodicity in a slot configuration period for new radio (NR) communications by users at cell sites in the network; and in response to a request by a user, the scheduler unit reserves a number of mini-slots for use in each slot configuration period wherein a reserved slot number is responsive to at least one of a condition of an AC power outage, and reduced channel traffic based on data received by the DU/CU about the condition.

Abstract: Systems and methods of adaptive bandwidth (BW) management are provided by a control unit of distribution and central units to monitor power and traffic loads at a plurality of network nodes; a BW management unit communicating with the control unit to reassign a set of network slices with a set of smaller bandwidth parts (BWPs); the BW management unit configured to define a smaller BWP from a slice mapping for the slice reassignment during a AC power outage, the slicing mapping includes network slices tied to smaller BWPs in the network; and the BW management unit configured to adapt BW for users at the node by reassigning of at least one network slice with a defined smaller BWP at the node in response to a condition determined by the BW management unit, the condition of at least one of a AC power outage and reduced traffic load.

Abstract: Embodiments are directed towards systems and methods for managing user experiences during cellular telecommunication outages within a wireless telecommunication network, such as a wireless 5G network. Example embodiments include systems and methods managing user experiences during a cellular telecommunication network outage utilizing a backup data center. For example, in response to the distributed unit (DU) detecting there exists the failure in communication between the DU and the corresponding primary centralized unit control plane (CU-CP), the system causes the DU to switch from using the corresponding primary CU-CP to using the secondary CU-CP of a secondary CU hosted on the backup cloud-native virtualized compute instance based on utilizing a secondary ID pre-configured on the DU.

Abstract: Methods and apparatuses for improving telecommunications services by intelligently deploying radio access network components and redundant links within a data center hierarchy to satisfy latency, power, availability, and quality of service requirements for one or more network slices are described. The radio access network components may include virtualized distributed units (VDUs) and virtualized centralized units (VCUs). To satisfy a latency requirement for a network slice, various components of a radio access network may need to be redeployed closer to user equipment. To satisfy a power requirement for the network slice, various components of the radio access network may need to be redeployed closer to core network components. Over time, the components of the radio access network may be dynamically reassigned to different layers within a data center hierarchy in order to satisfy changing latency requirements and power requirements for the network slice.

Abstract: Embodiments are directed towards systems and methods for carrier aggregation and dual connectivity switching in a cellular network (e.g., a 5G network). Example embodiments include systems and methods for: the RAN functions supporting providing measuring and reporting particular items for dynamic carrier aggregation and dual connectivity switching; RAN dynamic carrier aggregation and dual connectivity switching with a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching without a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting latency/bandwidth criteria; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting resource criteria; and prioritization for using CA instead of DC based on CQI information reported from UEs.

Abstract: Embodiments are directed towards systems and methods for carrier aggregation and dual connectivity switching in a cellular network (e.g., a 5G network). Example embodiments include systems and methods for: the RAN functions supporting providing measuring and reporting particular items for dynamic carrier aggregation and dual connectivity switching; RAN dynamic carrier aggregation and dual connectivity switching with a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching without a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting latency/bandwidth criteria; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting resource criteria; and prioritization for using CA instead of DC based on CQI information reported from UEs.

Abstract: Embodiments are directed towards systems and methods for carrier aggregation and dual connectivity switching in a cellular network (e.g., a 5G network). Example embodiments include systems and methods for: the RAN functions supporting providing measuring and reporting particular items for dynamic carrier aggregation and dual connectivity switching; RAN dynamic carrier aggregation and dual connectivity switching with a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching without a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting latency/bandwidth criteria; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting resource criteria; and prioritization for using CA instead of DC based on CQI information reported from UEs.

Abstract: Embodiments are directed towards systems and methods for carrier aggregation and dual connectivity switching in a cellular network (e.g., a 5G network). Example embodiments include systems and methods for: the RAN functions supporting providing measuring and reporting particular items for dynamic carrier aggregation and dual connectivity switching; RAN dynamic carrier aggregation and dual connectivity switching with a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching without a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting latency/bandwidth criteria; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting resource criteria; and prioritization for using CA instead of DC based on CQI information reported from UEs.

Abstract: Embodiments are directed towards systems and methods for carrier aggregation and dual connectivity switching in a cellular network (e.g., a 5G network). Example embodiments include systems and methods for: the RAN functions supporting providing measuring and reporting particular items for dynamic carrier aggregation and dual connectivity switching; RAN dynamic carrier aggregation and dual connectivity switching with a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching without a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting latency/bandwidth criteria; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting resource criteria; and prioritization for using CA instead of DC based on CQI information reported from UEs.

Abstract: Embodiments are directed towards an adaptive DU scheduler that increases the user experiences on higher channel bandwidths (BWs) while ensuring no drops for Voice over New Radio (VoNR) or other high priority traffic. Example embodiments include systems and methods for an adaptive distributed unit (DU) scheduler in a wireless telecommunication network, such as a wireless 5G network.

Abstract: Embodiments are directed towards an adaptive DU scheduler that increases the user experiences on higher channel bandwidths (BWs) while ensuring no drops for Voice over New Radio (VoNR) or other high priority traffic. Example embodiments include systems and methods for an adaptive distributed unit (DU) scheduler in a wireless telecommunication network, such as a wireless 5G network.

Abstract: Embodiments are directed towards an adaptive DU scheduler that increases the user experiences on higher channel bandwidths (BWs) while ensuring no drops for Voice over New Radio (VoNR) or other high priority traffic. Example embodiments include systems and methods for an adaptive distributed unit (DU) scheduler in a wireless telecommunication network, such as a wireless 5G network.

Abstract: Embodiments are directed towards an adaptive DU scheduler that increases the user experiences on higher channel bandwidths (BWs) while ensuring no drops for Voice over New Radio (VoNR) or other high priority traffic. Example embodiments include systems and methods for an adaptive distributed unit (DU) scheduler in a wireless telecommunication network, such as a wireless 5G network.

Abstract: Systems and methods to utilize user device self-reported quality metrics and machine learning mechanisms to optimize management of user device mobility in a cellular network. Cells in the network obtain quality data for one or more user devices in communication with the cells, including channel-quality-indicator values, reference-signal-received-power values, and reference-signal-received-quality values. The quality data is processed by a machine learning mechanism to generate a separate quality report for each cell. In response to receiving a request to handover communications for a target user device, the quality reports are utilized to select a cell that is predicted to provide the best quality communications for the target user device.

Abstract: A disclosed method may include (i) providing, to an end-user of a radio access network, a graphical user interface that enables the end-user to configure at least one of a plurality of control knobs for configuring a slice of the radio access network, (ii) receiving, after the providing the graphical user interface, user input from the end-user through the graphical user interface indicating how the end-user would adjust the at least one of the control knobs for configuring the slice of the radio access network, and (iii) configuring the slice of the radio access network according to the user input from the end-user through the graphical user interface. Related systems and computer-readable mediums are further disclosed.

Abstract: A disclosed method may include (i) providing, to an end-user of a radio access network, a graphical user interface that enables the end-user to configure at least one of a plurality of control knobs for configuring a slice of the radio access network, (ii) receiving, after the providing the graphical user interface, user input from the end-user through the graphical user interface indicating how the end-user would adjust the at least one of the control knobs for configuring the slice of the radio access network, and (iii) configuring the slice of the radio access network according to the user input from the end-user through the graphical user interface. Related systems and computer-readable mediums are further disclosed.

Abstract: Various arrangements for updating a radio unit (RU) of a cellular network are presented. A volume of cellular signals being handled by a first programmable processor of the RU and a second programmable processor of the RU may be analyzed. A determination can be made that one of the processors has sufficient available resources to handle the analyzed volume of cellular signals. The RU can cause cellular signals to be rerouted to one of the programmable processors while the other processor is taken offline for updating. The update process is performed such that UE in communication with the RU experience uninterrupted cellular network access.

Abstract: Various arrangements for performing dynamic resource blanking on a cellular network are presented herein. Based on orbital data for a satellite, a cellular network can determine user equipment (UE) conducting an active call using a particular frequency band at a base station. For each of the UE a handover can be performed of on-going calls to a different frequency band. Following completion of the handovers, use of the frequency band at the base station can be temporarily disabled.

Abstract: Various arrangements for updating a radio unit (RU) of a cellular network are presented. A volume of cellular signals being handled by a first programmable processor of the RU and a second programmable processor of the RU may be analyzed. A determination can be made that one of the processors has sufficient available resources to handle the analyzed volume of cellular signals. The RU can cause cellular signals to be rerouted to one of the programmable processors while the other processor is taken offline for updating. The update process is performed such that UE in communication with the RU experience uninterrupted cellular network access.