A polar-code-based frozen-tag PLA framework improves authentication detection against user interference and reduces an eavesdropper's ability to recover the raw tag.
write newline
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
E³-Agent combines a millisecond fast-path router with an event-driven LLM meta-controller to adaptively manage resources for non-stationary edge generative inference, achieving 65-73% latency reduction versus static baselines in simulator tests.
citing papers explorer
-
Frozen-Tag-Based Physical-Layer Authentication Against User Interference
A polar-code-based frozen-tag PLA framework improves authentication detection against user interference and reduces an eavesdropper's ability to recover the raw tag.
-
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference
E³-Agent combines a millisecond fast-path router with an event-driven LLM meta-controller to adaptively manage resources for non-stationary edge generative inference, achieving 65-73% latency reduction versus static baselines in simulator tests.