Abstract: Architectures and techniques are described that can provide interference mitigation techniques by leveraging rApps the execute on a non-real time radio access network intelligent controller (non-RT RIC). One or more rApps can operate to assist in interference detection as well as interference avoidance. The interference detection rApp can determine a recommended threshold based on longer term trends or patterns, which can be used by an associated xApp executing on a near-real time radio access network intelligent controller (near-RT RIC) that typically lacks such capability. The interference avoidance rApp can determine a recommended slot to ban based on longer term trends or patterns, which can be used by an associated xApp or scheduler. For instance, the scheduler can use the slot banning recommendation from either the rApp or the xApp.

Abstract: Enhanced tag management of QoS tags associated with services can be performed. Network monitor component (NMC) can send test signals to network equipment to trigger sending of test messages and test response messages associated with tags between network equipment. NMC can receive performance indicator information from network equipment based on network responses associated with tags to test messages. NMC can analyze the performance indicator information, service specifications associated with services, original QoS tag information, and current QoS tag information to determine which services are or can be satisfied at which tags, and determine whether adjustments to assignments of tags are to be performed. Based on analysis results, NMC can promote a service from its original tag to a higher tag, demote a service from a higher tag to its original tag, and/or temporarily ban a service from being promoted from its original tags to a higher tag.

Abstract: The described technology is generally directed towards interference avoidance for cellular networks. A controller can estimate intercell interference and provide recommendations of preferred time slots that can be used by cell schedulers to avoid intercell interference. The controller can leverage sporadic traffic of neighboring cells by identifying time slots at which traffic demand likely to result in intercell interference. The controller can then guide schedulers at cells to send data in a manner that mitigates intercell interference.

Abstract: Ducting mitigation in an open radio access network (e.g., using a computerized tool), is enabled. For example, a system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising, based on cell configuration data representative of a cell configuration applicable to a cellular node and based on meteorological data representative of a meteorological measurement applicable to the cellular node, determining, using a ducting prediction model, whether the cellular node is threshold likely to experience ducting, and in response to determining that the cellular node is threshold likely to experience the ducting, determining, using a ducting mitigation model, a ducting mitigation action to be performed that has been determined to mitigate the ducting.

Abstract: Spectral efficiency aware predictive modulation and coding scheme table selection (e.g., using a computerized tool), is enabled. For example, a method can comprise, based on spectral efficiency key performance indicator data, determining, by network equipment comprising a processor, a predicted spectral efficiency applicable to a user equipment, based on fluctuation key performance indicator data, determining, by the network equipment, predicted spectral efficiency fluctuation applicable to the user equipment, based on the predicted spectral efficiency and the predicted spectral efficiency fluctuation, determining, by the network equipment, a predicted spectral efficiency range, and based on the predicted spectral efficiency range, selecting, by the network equipment, a modulation and coding scheme table, for the user equipment, determined to modify a spectral granularity within the predicted spectral efficiency range to satisfy a spectral granularity criterion within the predicted spectral efficiency range.

Abstract: Facilitating dynamic predictive modulation coding adjustment for intercell interference in advanced communication networks is provided herein. A method includes identifying a pattern associated with unsuccessful transmissions sent to the user equipment via a network node. The method also includes, based on the pattern, determining modulation coding adjustment recommendations for future transmissions to the user equipment via the network node. Further, the method includes facilitating a conveyance of the modulation coding adjustment recommendations to the network node.

Abstract: Architectures and techniques are described that can provide conflict mitigation techniques for xApp that are executed on a near-realtime radio access network intelligent controller (near-RT RIC). A first, deep learning machine learning model can be employed during registration of the xApps, which can identify potential conflicts and flag those potentially conflicting xApps. A second machine learning model can be employed during run time of the xApps, which can identify whether a control message from a given flagged xApp conflicts with a configuration applied to an E2 node by another flagged xApp based on the current network state. Conflicts can be mitigated based on a priority between the two conflicting xApps.

Abstract: Overshooting mitigation in an open radio access network (e.g., using a computerized tool), is enabled. For example, a system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising, based on source cell data applicable to a source cell and based on neighbor cell data applicable to a neighbor cell, determining, using an overshooting classifier model, whether overshooting from the source cell to the neighbor cell has occurred, in response to determining that the overshooting has occurred, determining, using a distance recommendation model, a recommended cellular transmission distance applicable to the source cell, and based on the recommended cellular transmission distance, causing an overshooting mitigation action to be performed that has been determined to conform a cellular transmission distance, applicable to the source cell, to the recommended cellular transmission distance.

Abstract: Facilitating energy aware multi-cell admission control in advanced communication networks is provided herein. A method includes, based on notification of a denial of an admission request by a first cell, facilitating a transmission of the admission request to a second cell and at least a third cell. The second cell and the third cell are neighbor cells of the first cell. The admission request can be received from a user equipment. The method also includes, based on receipt of an acceptance of the admission request from the second cell and the third cell, and based on a determination that a first utility of the second cell is higher than a second utility of at least the third cell, selecting the second cell as an admission cell for the user equipment. Further, the method includes facilitating admission of the user equipment to a cell cluster via the second cell.

Abstract: Dynamic node key performance indicator reporting in an open radio access network (e.g., using a computerized tool), is enabled. For example, a system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising determining resource utilization of a network node, determining a requested reporting period of a key performance indicator, applicable to the network node, requested by an extended application of a radio access network intelligent controller, and using a reporting model generated using machine learning based on past resource utilization, other than the resource utilization, and past reporting periods, other than the requested reporting period, generating a reporting period recommendation applicable to the network node and the extended application.

Abstract: Technology described herein can comprise a system comprising a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising requesting, via a prediction process executed by the system, a subscription to a quality of service flow of a private network, based on a key performance indicator report received from a node of the private network, defining, via the prediction process, a reward function that determines a quantified reward based on a level of satisfaction corresponding to at least one key performance indicator for the node, and based on the reward function, identifying, via a decision process executed by the system, an action, corresponding to a predicted threshold for the level of satisfaction of the at least one key performance indicator, to be performed to respond to a request for admission to the private network from a user equipment.

Abstract: Architectures and techniques are described relating to implementing a serving hub within a network architecture such as a open radio access network (O-RAN). The serving hub can, inter alia, abstract a MLOps layer, serve models, and expose models for reuse. All or a portion of the serving hub can be deployed on a near real time radio access network intelligent controller (NRT RIC) with the O-RAN architecture. Hence, xApps that execute on the NRT RIC can subscribe to MLOps services without the need to implement MLOps in the xApps.

Abstract: Technology described herein can employ dynamically changing network variables and/or user entity priorities to determine admission of one or more user entities to the network. In an embodiment, a system can comprise a processor, and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise analyzing resource allocation for a quality of service flow. The operations further can comprise, based on a result of the analyzing the resource allocation, determining a threshold for quality of service for user equipment at the quality of service flow, and determining a connection decision for a user equipment based on a comparison of a quality of service prediction of a quality of service level for the user equipment to the threshold.

Abstract: The described technology is generally directed towards interference avoidance for cellular networks. A controller can estimate intercell interference and provide recommendations of preferred time slots that can be used by cell schedulers to avoid intercell interference. The controller can leverage sporadic traffic of neighboring cells by identifying time slots at which traffic demand likely to result in intercell interference. The controller can then guide schedulers at cells to send data in a manner that mitigates intercell interference.