Abstract: In response to detection that a capacity of the fronthaul link has been or will be exceeded, a software intelligence layer operating on a transport layer router that aggregates network traffic from the one or more radio units (RUs) causes a change in how in-phase and quadrature (IQ) data packets sent on the fronthaul link are handled to reduce use of the capacity of the fronthaul link. In another example embodiment, a software intelligence layer operating at an application layer of the wireless telecommunication network may perform one or more actions utilizing access to scheduler level information for the distributed units (DUs) to avoid the fronthaul link exceeding the capacity limit based on incoming IQ samples to a router that aggregates network traffic from one or more corresponding RUs.

Abstract: In response to detection that a capacity of the fronthaul link has been or will be exceeded, a software intelligence layer operating on a transport layer router that aggregates network traffic from the one or more radio units (RUs) causes a change in how in-phase and quadrature (IQ) data packets sent on the fronthaul link are handled to reduce use of the capacity of the fronthaul link. In another example embodiment, a software intelligence layer operating at an application layer of the wireless telecommunication network may perform one or more actions utilizing access to scheduler level information for the distributed units (DUs) to avoid the fronthaul link exceeding the capacity limit based on incoming IQ samples to a router that aggregates network traffic from one or more corresponding RUs.

Abstract: Embodiments relate to tenant-side detection and mitigation of performance degradation resulting from interference generated by a noisy neighbor in a distributed computing environment. A first machine-learning model such as a k-means nearest neighbor classifier is operated by a tenant to detect an anomaly with a computer system emulator resulting from a co-located noisy neighbor. A second machine-learning model such as a multi-class classifier is operated by the tenant to identify a contended resource associated with the anomaly. A corresponding trigger signal is generated and provided to trigger various mitigation responses, including an application/framework-specific mitigation strategy (e.g., triggered approximations in application/framework performance, best-efforts paths, run-time changes, etc.), load-balancing, scaling out, updates to a scheduler to avoid impacted nodes, and the like. In this manner, a tenant can detect, classify, and mitigate performance degradation resulting from a noisy neighbor.

Abstract: Systems and methods are provided for adaptive channel, beamforming, and traffic shaping management in a network including configuring an element management system to monitor, via a distribution unit (DU) and/or a central unit (CU) power and channel traffic at a plurality of cell sites in a network; applying, in response to a detection of a power outage at a cell site, at least one power saving schema including adaptive channel management, adaptive beam management, and/or adaptive traffic management, wherein the systems and methods incrementally reduce power consumption at the cell site by choking at least on channel based on a level of network traffic congestion. The systems and methods further limits users for congested channels, determines a relationship between power reduction as a result of the choking, arranges power to beamforming systems based on the choking, adjusts traffic of one or more applications, and move users of choked channels.

Abstract: Techniques described herein provide pooling of radio access network (RAN) resources in a disaggregated RAN in a manner that enables dynamic re-homing of RAN functions with minimal disruption to stateful communications. The RAN is a hierarchical arrangement of RAN units, each having an associated state at any given time. A RAN state pooling system (RSPS) is in communication with a pool of the RAN units via a high-speed communication channel. The RSPS is configured to maintain an updated repository of the state information for the RAN units in its serviced pool. In the event of re-homing from a first RAN unit to a second RAN unit in the pool (e.g., due to the first RAN unit failing, becoming overloaded, etc.), the RSPS provides the second RAN unit with the updated state information for the first RAN unit to facilitate a stateful re-homing.

Abstract: Systems and methods are provided for adaptive channel and traffic shaping management in a network including configuring an element management control unit comprising a set of distribution (DU) and central units (DU/CU) for monitoring power and channel traffic at a plurality of cell sites in a network; transmitting and receiving by a scheduler unit, data traffic data of user equipment (UE); receiving control data, by the scheduler unit, about congested network channels in Uplink (UL) and downlink (DL) transmissions from the UE; applying channel management solutions, by the scheduler unit, at a cell site to choke off congested channels via a schedule schema based on the control data about the traffic amounts on a channel; applying, by a control unit coupled to the scheduler unit to manage network traffic at the cell site, adaptive traffic management solutions to shape network data traffic on select channels based on the control data of traffic type on the channel; and iteratively applying, by the control unit,

Abstract: Disclosed is a method of operating a fifth-generation New Radio (5G NR) cellular telecommunication network radio access network (RAN). The method includes: receiving, by an intelligent sensor device, configuration information that identifies carrier frequencies; receiving, by the intelligent sensor device, a radio frequency signal at each of the carrier frequencies identified by the configuration information; generating, by the intelligent sensor device, digital signal information corresponding to the radio frequency signal received at each of the carrier frequencies identified by the configuration information; and transmitting, by the intelligent sensor device, the digital signal information to a sensor processing unit device. The sensor processing unit device determines a network load on each of the carrier frequencies identified by the configuration information based on the digital signal information.

Abstract: Techniques described herein provide pooling of radio access network (RAN) resources in a disaggregated RAN in a manner that enables dynamic re-homing of RAN functions with minimal disruption to stateful communications. The RAN is a hierarchical arrangement of RAN units, each having an associated state at any given time. A RAN state pooling system (RSPS) is in communication with a pool of the RAN units via a high-speed communication channel. The RSPS is configured to maintain an updated repository of the state information for the RAN units in its serviced pool. In the event of re-homing from a first RAN unit to a second RAN unit in the pool (e.g., due to the first RAN unit failing, becoming overloaded, etc.), the RSPS provides the second RAN unit with the updated state information for the first RAN unit to facilitate a stateful re-homing.

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: Example embodiments are directed towards detecting a failure of a fifth-generation New Radio (5G NR) cellular telecommunication network containerized network function (CNF) running within a dedicated node group of cloud compute instances hosting a plurality of CNFs of a wireless telecommunication service provider or a failure of a specific cloud compute instance hosting the CNF within the node group. In response to the detection of a failure of the CNF within the node group or a failure of the specific cloud compute instance hosting the CNF within the node group, automatically switching to host the CNF on a spare cloud compute instance within the node group dedicated to the wireless telecommunication service provider and pre-provisioned to host CNFs of a same type as the CNF for the wireless telecommunication service provider.

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: 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: Example embodiments are directed towards detecting a failure of one or more of a CU-UP pod and a CU-CP pod running on a first cloud compute instance within a node group of a cluster being hosted on a first cloud compute instance. In response to the detection of a failure of one or more of a CU-UP pod or a CU-CP pod of a node group within a cluster being hosted on a first cloud compute instance, the system automatically switches from the one or more pods for which failure was detected to one or more standby pods running a second cloud compute instance with user equipment (UE) context corresponding to the one or more pods for which failure was detected.

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: Example embodiments are directed towards detecting a failure of one or more microservices of a CU-UP pod or a CU-CP pod running on a first cloud compute instance within a node group of a cluster. In response to the detection of a failure of one or more microservices of a CU-UP pod or a CU-CP pod of a node group within a cluster being hosted on a first cloud compute instance, the system automatically switches to run the one or more microservices for which failure was detected on a standby pod running on a second cloud compute instance with user equipment (UE) context corresponding to the one or more microservices for which failure was detected. The standby pods running on the other cloud compute instance are generated with anti-affinity between the CU-CP microservices of the primary CNF instance and CU-CP microservices of the standby pod.

Abstract: Systems, methods, and machine-readable media facilitate adaptive beamforming in a cellular network. One or more signals indicative of one or more locations of a first set of one or more radio units and/or a first set of user equipment may be processed. A first set of beamforming specifications may be determined based at least in part on the one or more locations of the first set of one or more radio units and/or the first set of user equipment. The first set of beamforming specifications may correspond to a first set of one or more beamforming patterns. The first set of beamforming specifications may be communicated to instruct the first set of one or more radio units to direct signal transmission in conformance with the first set of one or more beamforming patterns.

Abstract: Various arrangements for performing testing using a cellular network are presented. A distributed unit (DU) can be activated to be used exclusively for an isolated test environment. A communication path can be established between the DU and a radio unit (RU) located at a location to where the isolated test environment is located. Communication between the DU and a centralized unit (CU) can be established such that the CU is used as part of the isolated test environment. A test slice can be defined on the cellular network that isolates all traffic on the DU and RU from a production slice. The CU can service both the test slice and the production slice.

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 managing user experiences during a cellular telecommunication network outage involving radio resource manager (RRM) in the distributed unit (DU). The DU detects there exists a failure in communication between the DU and a corresponding central unit control plane (CU-CP) of a 5G NR centralized unit (CU).

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 for managing user experiences during a cellular telecommunication network outage involving network communication failure detection and performing different recovery actions in response to detecting a failure in communication between certain telecommunication network components and/or failure of certain network links.

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.