Abstract: The described technology is generally directed towards dynamically adapting the parameter data of an intercell interference avoidance feedback and decision window (e.g., sizing and frequency) to obtain interference-related data from a UE. The interference-related data analyzed from a returned window is used to recommend a decision to a ran node as to which radio resources should be avoided when scheduling UE-related communications to avoid intercell interference. A controller (e.g., RIC) dynamically attempts to optimize the frequency and periodicity of the intercell interference avoidance feedback and decision windows to be transmitted, based on measurements and KPIs from the RAN node, e.g., UE traffic pattern data and QoS requirements, as well as performance capability data of the node. The node can accept the window parameter data or reject the request for reprocessing by the controller.

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: Architectures and techniques are described that can provide detection and mitigation techniques for self-conflicting behavior associated with an xApp that is executed on a near-real time radio access network intelligent controller (near-RT RIC). A first set of inputs relating to xApp data (e.g., data consumed by the xApp, parameters controlled by the xApp, xApp description of purpose or function, . . . ) can be input to a first machine learning model to determine potential self-conflicting behavior. A second set of inputs relating to xApp control data (e.g., a current control action, previous control action history, . . . ) can be input to a second machine learning model to determine other types of potential self-conflicting behavior. If self-conflicting behavior is detected, then mitigation techniques can be invoked.

Abstract: The technology described herein is directed towards cooperative configured grant with respect to the configured grant timeslots of multiple cells, particularly for ultra-reliable low latency communications (URLLC) devices configured for packet data convergence protocol (PDCP) for duplicate packet communications. Selection of slots is delay aware with respect to PDCP communications. By selecting a first serving cell's configured grant physical resource block (PRB) time slots in a timing alignment with a second cell's configured grant PRB time slots, end-to-end PDCP delay is reduced for duplicate communications between a user equipment communicating with the first cell and the second cell for PDCP duplication. Multiple UEs can be prioritized based on their current condition data with respect to slot assignment. Also described is a controller proposing a different configuration of configured grant slots, which the controller can then use if accepted by the deciding entity.

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: Architectures and techniques are described that can provide detection and mitigation techniques for self-conflicting behavior associated with an xApp that is executed on a near-real time radio access network intelligent controller (near-RT RIC). A first set of inputs relating to xApp data (e.g., data consumed by the xApp, parameters controlled by the xApp, xApp description of purpose or function, . . . ) can be input to a first machine learning model to determine potential self-conflicting behavior. A second set of inputs relating to xApp control data (e.g., a current control action, previous control action history, . . . ) can be input to a second machine learning model to determine other types of potential self-conflicting behavior. If self-conflicting behavior is detected, then mitigation techniques can be invoked.

Abstract: The described technology is generally directed towards dynamically adapting the parameter data of an intercell interference avoidance feedback and decision window (e.g., sizing and frequency) to obtain interference-related data from a UE. The interference-related data analyzed from a returned window is used to recommend a decision to a ran node as to which radio resources should be avoided when scheduling UE-related communications to avoid intercell interference. A controller (e.g., RIC) dynamically attempts to optimize the frequency and periodicity of the intercell interference avoidance feedback and decision windows to be transmitted, based on measurements and KPIs from the RAN node, e.g., UE traffic pattern data and QoS requirements, as well as performance capability data of the node. The node can accept the window parameter data or reject the request for reprocessing by the controller.

Abstract: The technology described herein is directed towards cooperative configured grant with respect to the configured grant timeslots of multiple cells, particularly for ultra-reliable low latency communications (URLLC) devices configured for packet data convergence protocol (PDCP) for duplicate packet communications. Selection of slots is delay aware with respect to PDCP communications. By selecting a first serving cell's configured grant physical resource block (PRB) time slots in a timing alignment with a second cell's configured grant PRB time slots, end-to-end PDCP delay is reduced for duplicate communications between a user equipment communicating with the first cell and the second cell for PDCP duplication. Multiple UEs can be prioritized based on their current condition data with respect to slot assignment. Also described is a controller proposing a different configuration of configured grant slots, which the controller can then use if accepted by the deciding entity.