Abstract: This disclosure relates to method and causal analysis server for identifying domain-specific service management hotspots. The method includes receiving raw data corresponding to plurality of domain-specific issues; generating plurality of chunks from the raw data using an optimal chunking and tokenizing algorithm selected from chunking and tokenizing algorithms to obtain chunked data; creating a plurality of embeddings from the chunked data through an embedding model; clustering the plurality of embeddings into a set of clusters and a set of sub-clusters associated with each of the set of clusters, based on a similarity analysis; determining a set of cluster labels corresponding to the set of clusters and a set of sub-cluster labels corresponding to the set of sub-clusters, via a Large Language Model (LLM); and identifying a plurality of hotspots corresponding to the plurality of domain-specific issues based on the set of cluster labels and the set of sub-cluster labels.

Abstract: The disclosure relates to a 5th generation (5G) communication system or a 6th generation (6G) communication system for supporting higher data rates beyond a 4th generation (4G) communication system, such as long term evolution (LTE). A method performed by an open radio access network (O-RAN) distributed unit (DU) (O-DU) in a wireless communication system is provided. The method includes obtaining a set of sounding reference signal (SRS) configuration parameters from a functional application platform interface (FAPI) SRS PDU message, and transmitting, to an O-RAN radio unit (O-RU), an SRS configuration message including the obtained set of SRS configuration parameters, wherein the SRS configuration message enables the O-RU to perform an SRS-based channel estimation.