To provide some additional context on this, there are two main goals here. 
First, sharing the other side's real-time perspective on network state can be 
useful in choosing application-level behavior (e.g. ABR). Second, recalling 
data from a previous connection can be useful with transport-level 
optimizations such as Careful Resume 
(https://datatracker.ietf.org/doc/html/draft-ietf-tsvwg-careful-resume-24). It 
is already possible for the server to embed this recall data in Address 
Validation tokens, but that's opaque to clients and there's overlap with data 
that the client might wish to consume.

This extension enables each side to share network information with the peer 
over the course of the connection, optionally having some of the values passed 
back to it on a future connection. Since the peer (generally the client, but 
that's not a requirement) can inspect the information, it can make a more 
informed choice about whether it wants to echo back the prior state or start 
fresh for privacy reasons.

Chairs, might this have a few minutes in As Time Permits?

-Mike Bishop (no hat)
________________________________
From: 袁靖昊 <[email protected]>
Sent: Sunday, October 19, 2025 10:47 AM
To: [email protected] <[email protected]>
Subject: New ID--Exchanging Congestion Control Data in QUIC

Hello colleagues at QUIC WG.

I'm Yuan Jinghao from ByteDance, and I'd like to introduce to you a draft we 
recently submitted.

We have noticed that in various scenarios, there is a demand to represent and 
consume congestion control status. Based on this, we have constructed a custom 
QUIC frame, which is composed of multiple Network Statistics. Every "Network 
Statistics" records network signals such as bandwidth, packet loss, and RTT, 
etc. This extension allows peers to exchange their cc status and enables the 
original data to be echoed back to the source in a secure form.

We have applied the prototype of this draft in live streaming for several years 
and achieved actual QoE benefits.

We hope that this extension can not only be applied in TikTok live but also 
receive professional evaluations and guidance from the industry.

Thanks,

Jinghao Yuan

draft-00: https://datatracker.ietf.org/doc/draft-yuan-quic-congestion-data/

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