Abstract: Various embodiments herein achieve method for optimizing a performance of a customer premises equipment (CPE) in a wireless network by a network apparatus. The method includes receiving a measurement information from at least one CPE. Further, the method includes receiving a measurement information from at least one RAN node. Further, the method includes detecting whether a performance associated with at least one CPE is degraded based on the received measurement information from the at least one CPE. Further, the method includes identifying a RAN UE ID for the at least one CPE whose performance is degraded by correlating the measurement information received from the at least one CPE and the measurement information received from the at least one RAN node. Further, the method includes applying an action based on the identified RAN UE ID.

Abstract: Embodiments herein disclose a method and network apparatus for network performance evaluation using AI-based network cloning. The method includes constructing one or more AI-based network clones of one or more network nodes. The one or more AI-based network clones mimics a data pattern and cell behavior of the one or more network nodes. Further, the method includes receiving a solution predicted by an AI server to mitigate one or more problems associated with one or more services of the one or more network nodes. Further, the method includes evaluating a performance of the one or more AI-based network clones by deploying the solution on the one or more AI-based network clones. Further, the method includes sending the solution to the one or more network nodes for deployment or retraining based on the performance of the one or more AI-based network clones.

Abstract: A system and/or method for automated ML model retraining by an electronic device. The system and/or method may include one or more of: running a first ML model and a second ML model, predicting an accuracy degradation of the first ML model using the second ML model, determining whether the predicted accuracy degradation meets a pre-defined threshold, and/or retraining the first ML model when the predicted accuracy degradation meets the pre-defined threshold.

Abstract: An apparatus, method and computer program is described comprising: executing, in a first mode of operation, a MIMO for one or more user devices eligible to transmit data in a slot of a packet scheduler, to generate MIMO operation outputs; obtaining, in a second mode of operation, estimated MIMO operation outputs for said one or more user devices from a lookup table; and determining whether to operate in the first mode of operation or the second mode operation.

Abstract: The embodiments herein disclose a method for managing machine learning (ML) services in a wireless communication network. The method includes: storing a plurality of ML packages, each executing a network service request; receiving a trigger based on the network service request from a server; determining a plurality of parameters corresponding to the network service request, on receiving the trigger from the server; determining an ML package based on the trigger and the plurality of parameters corresponding to the network service request; and deploying the determined at least one ML package for executing the network service request.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by an operation, administration and maintenance (OAM) controller for facilitating continuous integration and continuous deployment (CI-CD) in a wireless communication system is provided. The method includes transmitting, to a network slice management service (NSMS) consumer, a request to trigger a test upgraded technique for a network function (NF), wherein the request to trigger the test upgraded technique comprises at least one parameter indicated as part of a test network slice information object class (IOC); receiving, from the NSMS consumer, a trigger test response based on the request to trigger the test upgraded technique; and configuring at least one user equipment (UE) with at least one test slice identifier based on the trigger test response.

Abstract: In case a first set of N user equipments attached to a radio access network via an apparatus does not exceed a maximum number M, the apparatus performs (S41) real-time and non-real-time processing for the N user equipments. In case N exceeds M, the apparatus performs (S43) real-time and non-real-time processing for a second set of M user equipments contained within the first set and forwards non-real-time processing of a third set of N-M user equipments contained within the first set but not contained within the second set to a central unit which stores (S51) context information of the user equipments of the first set and performs (S53) non-real-time processing of the user equipments of the third set.

Abstract: Embodiments relate to an apparatus (2) comprising means configured for: receiving (T1), from an apparatus (4) associated with a radio cell, data specifying cell level parameters and computing resources availability, selecting (T2), based on the cell level parameters and computing resources availability, a set of radio resources management algorithms, sending (T3), to the apparatus (4) associated with the radio cell, data specifying the selected set of radio resources management algorithms.

Abstract: In case a first set of N user equipments attached to a radio access network via an apparatus does not exceed a maximum number M, the apparatus performs (S41) real-time and non-real-time processing for the N user equipments. In case N exceeds M, the apparatus performs (S43) real-time and non-real-time processing for a second set of M user equipments contained within the first set and forwards non-real-time processing of a third set of N-M user equipments contained within the first set but not contained within the second set to a central unit which stores (S51) context information of the user equipments of the first set and performs (S53) non-real-time processing of the user equipments of the third set.

Abstract: An apparatus, method and computer program is described comprising: executing, in a first mode of operation, a MIMO for one or more user devices eligible to transmit data in a slot of a packet scheduler, to generate MIMO operation outputs; obtaining, in a second mode of operation, estimated MIMO operation outputs for said one or more user devices from a lookup table; and determining whether to operate in the first mode of operation or the second mode operation.

Abstract: Embodiments relate to an apparatus (2) comprising means configured for: receiving (T1), from an apparatus (4) associated with a radio cell, data specifying cell level parameters and computing resources availability, selecting (T2), based on the cell level parameters and computing resources availability, a set of radio resources management algorithms, sending (T3), to the apparatus (4) associated with the radio cell, data specifying the selected set of radio resources management algorithms.

Abstract: A method includes receiving from a core network entity a paging message including a permanent user identity of a user for a specific user equipment, and determining, using the permanent user identity, a set of small cells to which the paging message should be sent based on a small cell last visited by the specific user equipment and small cells that are neighbors to the last-visited small cell. The paging message, without the permanent user identity, is sent to the determined set of small cells. Another method includes, responsive to determining a paging message for a specific user equipment is to be communicated toward the specific user equipment, determining whether a gateway can receive paging messages comprising a permanent user identity and a temporary user identity, and responsive thereto, sending the paging message for the specific user equipment to the gateway. Apparatus and computer program products are also disclosed.

Abstract: A method includes receiving from a core network entity a paging message including a permanent user identity of a user for a specific user equipment, and determining, using the permanent user identity, a set of small cells to which the paging message should be sent based on a small cell last visited by the specific user equipment and small cells that are neighbors to the last-visited small cell. The paging message, without the permanent user identity, is sent to the determined set of small cells. Another method includes, responsive to determining a paging message for a specific user equipment is to be communicated toward the specific user equipment, determining whether a gateway can receive paging messages comprising a permanent user identity and a temporary user identity, and responsive thereto, sending the paging message for the specific user equipment to the gateway. Apparatus and computer program products are also disclosed.