Abstract
This disclosure describes an asymmetric edge-cloud architecture for distributed telecommunication fault diagnosis. Per the techniques, an edge processing terminal processes high-dimensional binary baseband events into a low-dimensional semantic summary and timestamp array associated with an anomaly and sends the data to a cloud-based diagnostic platform server. The server allocates contiguous physical memory pages on-demand using zero-copy memory-mapped file offsets, constrains an LLM-based diagnostic engine via a dynamically structured constraint matrix generated based on target segments of raw binary protocol trace files to obtain an RCA report, and executes an automated diagnostic action, such as transmitting a physical control command to the edge processing terminal based on the RCA report. Optionally, the cloud diagnostic platform implements a closed-loop asynchronous reinforcement learning feedback.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Zhu, Longlong; Tang, Jie; Tsailin, Kevin; and Huang, Vincent, "Cloud Diagnostic Platform for Wireless Network Failure Diagnosis Utilizing an Asymmetric Edge-Cloud Architecture", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/12080