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