Network performance evaluation using AI-based network cloning

A network apparatus for network performance evaluation using artificial intelligence-based (AI-based) network cloning, the network apparatus comprising:

• memory storing instructions;
• and
• at least one processor comprising processor circuitry coupled to the memory, wherein the instructions, when executed by the at least one processor, individually and/or collectively, cause the network apparatus to:
• construct at least one AI-based network clone of at least one network node in a wireless network, wherein the at least one AI-based network clone is configured to mimic a data pattern and cell behavior of the at least one network node;
• receive a solution predicted by an AI server to mitigate at least one network performance problem associated with at least one service of the at least one network node;
• evaluate a performance of the at least one AI-based network clone by deploying the solution on the at least one AI-based network clone;
• determine whether the performance of the at least one AI-based network clone meets a service level agreement (SLA) associated with at least one service of the at least one network node;
• send the solution to the at least one network node for deployment based on the performance of the at least one AI-based network clone meeting the SLA associated with at least one service of the at least one network node;
• and
• send a feedback including the performance of the solution to the AI server for retraining based on the performance of the at least one AI-based network clone not meeting the SLA associated with at least one service of the at least one network node.

A non-transitory computer-readable storage medium storing instructions which, when executed by at least one processor comprising processor circuitry of a network apparatus, causes the network apparatus to perform operations, the operations comprising:

• constructing at least one artificial intelligence-based (AI-based) network clone of at least one network node in a wireless network, wherein the at least one AI-based network clone is configured to mimic a data pattern and cell behavior of the at least one network node;
• receiving a solution predicted by an AI server to mitigate at least one network performance problem associated with at least one service of the at least one network node;
• evaluating a performance of the at least one AI-based network clone by deploying the solution on the at least one AI-based network clone;
• determining whether the performance of the at least one AI-based network clone meets a Service Level Agreement (SLA) associated with at least one service of the at least one network node;
• and
• sending the solution to the at least one network node for deployment based on the performance of the at least one AI-based network clone meeting the SLA associated with at least one service of the at least one network node;
• and
• sending a feedback including the performance of the solution to the AI server for retraining based on the performance of the at least one AI-based network clone not meeting the SLA associated with at least one service of the at least one network node.