feat(dred): continuous DRED tuning, PMTUD, extended Opus6k window

- DredTuner: maps live network metrics (loss/RTT/jitter) to continuous
  DRED duration every ~500ms instead of discrete tier-locked values.
  Includes jitter-spike detection for pre-emptive Starlink-style boost.
- Opus6k DRED extended from 500ms to 1040ms (max libopus 1.5 supports)
- PMTUD: quinn MtuDiscoveryConfig with upper_bound=1452, 300s interval
- TrunkedForwarder respects discovered MTU (was hard-coded 1200)
- QuinnPathSnapshot exposes quinn internal stats + discovered MTU
- AudioEncoder trait: set_expected_loss() + set_dred_duration() methods
- PathMonitor: sliding-window jitter variance for spike detection
- Integrated into both Android and desktop send tasks in engine.rs
- 14 new tests (10 tuner unit + 4 encoder integration)
- Updated ARCHITECTURE.md, PROGRESS.md, PRD-dred-integration, PRD-mtu

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Siavash Sameni
2026-04-12 19:38:37 +04:00
parent 24cc74d93c
commit 766c9df442
19 changed files with 829 additions and 32 deletions

View File

@@ -2,11 +2,17 @@
//!
//! Tracks packet loss (via sequence number gaps), RTT, jitter, and bandwidth.
use std::collections::VecDeque;
use wzp_proto::PathQuality;
/// EWMA smoothing factor.
const ALPHA: f64 = 0.1;
/// Maximum number of RTT samples in the jitter variance sliding window.
/// At ~50 packets/sec (20 ms frame), 10 samples ≈ 200 ms.
const JITTER_VARIANCE_WINDOW_SIZE: usize = 10;
/// Monitors network path quality metrics.
pub struct PathMonitor {
/// EWMA-smoothed loss percentage (0.0 - 100.0).
@@ -31,6 +37,8 @@ pub struct PathMonitor {
last_rtt_ms: Option<f64>,
/// Whether we have any observations yet.
initialized: bool,
/// Sliding window of recent RTT samples for variance calculation.
rtt_window: VecDeque<f64>,
}
impl PathMonitor {
@@ -51,6 +59,7 @@ impl PathMonitor {
total_received: 0,
last_rtt_ms: None,
initialized: false,
rtt_window: VecDeque::with_capacity(JITTER_VARIANCE_WINDOW_SIZE),
}
}
@@ -122,6 +131,12 @@ impl PathMonitor {
} else {
self.rtt_ewma = ALPHA * rtt + (1.0 - ALPHA) * self.rtt_ewma;
}
// Maintain sliding window for variance calculation
if self.rtt_window.len() >= JITTER_VARIANCE_WINDOW_SIZE {
self.rtt_window.pop_front();
}
self.rtt_window.push_back(rtt);
}
/// Get the current estimated path quality.
@@ -155,6 +170,20 @@ impl PathMonitor {
0
}
/// Compute the jitter (RTT standard deviation) over the sliding window.
///
/// Returns the standard deviation in milliseconds, or 0.0 if insufficient
/// samples. Used by `DredTuner` for spike detection.
pub fn jitter_variance_ms(&self) -> f64 {
let n = self.rtt_window.len();
if n < 2 {
return 0.0;
}
let mean = self.rtt_window.iter().sum::<f64>() / n as f64;
let var = self.rtt_window.iter().map(|r| (r - mean).powi(2)).sum::<f64>() / n as f64;
var.sqrt()
}
/// Detect whether a network handoff likely occurred.
///
/// Returns `true` if the most recent RTT jitter measurement exceeds 3x