Abstract
This disclosure describes techniques for real-time triage of network anomalies in telecommunication protocol streams and adaptive slicing of binary trace files within an edge terminal. Network anomalies are classified based on a correlation between Layer 1 physical radio performance metrics and Layer 3 protocol state transitions. When a physical channel environmental failure is detected, transmission of diagnostic data is suppressed to save network bandwidth and wear of local flash memory storage. When a protocol stack software defect is detected, a time-bounded log snippet is extracted from a local memory buffer, the log snippet is prevented from being overwritten by subsequent network anomalies, and user information within the log snippet is removed. An asymmetric payload containing a semantic summary and timestamp array of the detected network anomaly is transmitted to a server. Optionally, the techniques also perform application processor (AP) - cellular baseband processor (CP) clock synchronization.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Zhu, Longlong; Huang, Weiyue; and Wang, Li, "Real-time Protocol Stream Triage and Adaptive Log Slicing at Edge Terminal", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/12079