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wit moq MoQ is designed to serve live tracks over a CDN to viewers with varying latency and quality targets: the entire spectrum between real-time and VOD. However, it's difficult to understand how to use the transport given the layering and complexity of live media delivery. This document outlines how an application could use MoQ to deliver video, audio, and metadata in a variety of scenarios. Discussion Venues Discussion of this document takes place on the Media Over QUIC Working Group mailing list (moq@ietf.org), which is archived at . Source for this draft and an issue tracker can be found at .

Conventions and Definitions The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in BCP 14 when, and only when, they appear in all capitals, as shown here.

Introduction Media over QUIC is still in the concept phase; a loose collection of ideas and drafts on how to utilize QUIC for live media delivery. It's difficult to grasp how to utilize the various layers:

• QUIC: A transport layer that provides reliable, ordered, and secure streams.
• MoqTransfork: A pub/sub layer that provides caching and fanout.
• MoqKarp: A proposed media layer on top of MoqTransfork that deals with encoding and containers.
• Application: Your application that utilizes any of the above layers.

This document briefly overviews how live media works and how you could use MoQ to deliver it.

Video Video encoding involves complex dependencies between frames/slices. The terminology in this section stems from H.264 but is applicable to most modern codecs. Each frame of video is encoded as one or more slices but to simplify the discussion, we'll refer to a slice as a frame. There are three types of frames:

• I-Frame: A frame that can be decoded independently.
• P-Frame: A frame that depends on previous frames.
• B-Frame: A frame that depends on previous or future frames.

Group of Pictures A simple application can ignore the complexity of P/B frames and focus on I-Frames. This is the optimal approach for many encoding configurations. Each I-Frame begins a Group of Pictures (GoP). A GoP is a set of frames that MAY depend on each other and MUST NOT depend on other GoPs. Each frame has a decode order (DTS) and a frame MUST NOT depend on frames with a higher DTS. This perfectly maps to a QUIC stream, as they too are independent and ordered. The easiest way to use MoqTransfork is to send each GoP as a GROUP with each frame as a FRAME, hence the names. Each SUBSCRIBE starts at a Group to ensure that it starts with an I-Frame. Each Group is delivered in decode order ensuring that all frames are decodable (no artifacts). A subscriber can choose the Group Order based on the desired user experience:

• SUBSCRIBE order=DESC: Transmits new Groups first to allow skipping, intended for low-latency live streams.
• SUBSCRIBE order=ASC: Transmits old Groups first to avoid skipping, intended for VOD and reliable live streams.

A publisher or subscriber can skip the remainder of a Group by resetting a Group Stream or by issuing a SUBSCRIBE_UPDATE. A FETCH can be used to recover any partial groups.

Layers An advanced application can subdivide a GoP into layers. The most comprehensive way to do this is with Scalable Video Coding (SVC). There is a base layer and one or more enhancement layers that depend on lower layers. For example, a 4K stream could be broken into 4K, 1080p, and 360p (base) layers. However, SVC has limited support and is complex to encode. Another approach is to use temporal scalability via something like B-pyramids. The frames within a GoP are sub-divided based on their dependencies, intentionally creating a hierarchy. For example, even frames could be prevented from referencing odd frames, creating a base 30fps layer and an enhancement 60fps layer. This is effectively a custom SVC scheme however it's limited to time and doesn't require special decoder support. The purpose of these layers is to support degrading the quality of the broadcast. A subscriber could limit bandwidth usage by choose to only receive the base layer or a subset of the enhancements layers. During congestion, the base layer can be prioritized while the enhancement layers can be deprioritized or dropped. However, the cost is a small increase in bitrate (10%) as limiting potential references can only hurt the compression ratio. When using MoqTransfork, each layer is delivered as a separate Track. This allows the subscriber to choose which layers to receive and how to prioritize them in SUBSCRIBE. It also enables layers to be prioritized within the layer application, for example Alice's base layer is more important than Bob's enhancement layer. The application is responsible for determining the relationship between layers, since they're unrelated tracks as MoqTransport is concerned. The application could use a catalog to advertise the layers and how to synchronize them, for example based on the Group Sequence.

Non-Reference Frames While not explicitly stated, I believe the complexity in MoqTransport stems almost entirely from a single use-case: the ability to drop individual non-reference frames in the middle of a group. In theory, transmitting enhancement layers as tracks like mentioned above could introduce head-of-line blocking depending on the encoding. This would occur when enhancement layers are not self-referential, a rare configuration which also hurts the compression ratio. And in practice, there's no discernible user impact given the disproportionate size difference between base and enhancement layers. The ability to drop individual non-reference frames in the middle of a group is an explicit non-goal for MoqTransfork.

Audio Unlike video, audio is simple and yet has perhaps more potential for optimization.

Frames Audio samples are very small and for the sake of compression, are grouped into a frame. This depends on the codec and the sample rate but each frame is typically 10-50ms of audio. Audio frames are independent, which means they map nicely to MoqTransfork Groups. Each audio frame can be transmitted as a GROUP with a single FRAME.

Groups Audio FRAMEs can also be combined into periodic GROUPs to reduce overhead at the cost of some introducing head-of-line blocking. This won't increase latency except under significant congestion as each FRAME is still streamed. For example, an application could then subscribe to video and audio starting at group X for both tracks, instead of trying to maintain a mapping between the two based on timestamp. This is quite common in HLS/DASH as there's no reason to subdivide audio segments at frame boundaries.

FEC Real-time audio applications often use Forward Error Correction (FEC) to conceal packet loss. Audio frames are a good candidate for FEC given that they are small and independent. In an ideal world, FEC would be performed by QUIC based on the properties of the hop. However this is not currently not supported and FEC is left to the application. In MoqTransfork, each FEC packet is transmitted as a separate GROUP with a single FRAME. A real-time subscriber issues a SUBSCRIBE with an aggressive Group Expires value in the milliseconds range. The publisher will drop any Groups that have not been transmitted or acknowledged within this time frame, potentially causing them to be lost. Normally, FEC is performed by transmitting individual packets once as datagrams. However, QUIC streams are useful as they allow retransmissions when Group Expires is smaller than the RTT. If the RTT is too high, then the RESET_STREAM frame adds some overhead but it's inconsequential (~10 more bytes). This enables retransmitting lost packets on short hops and otherwise relying on FEC for long hops.

Metadata There's a number of non-media use cases that can be served by MoqTransfork.

Catalog Originally part of the transport itself, the catalog is a list of all tracks within a broadcast. It's since been delegated to the application and is now just another track with a well-known name. The proposed MoQ catalog format supports live updates. It does this by encoding a base JSON blob and then applying JSON patches over time. If the number of deltas becomes too large, the producer can start over with a new base JSON blob. In MoqTransfork, the base and all deltas are a single GROUP. The base is the first FRAME and all deltas are subsequent FRAMEs. The producer can create a new GROUP to start over, repeating the process.

Timeline Another track that is commonly pitched is a timeline track. This records the presentation timestamp of each Group, giving a VOD viewer to seek to a specific time. The timeline track is a single Group containing a Frame for each timestamp. The live nature of the timeline track is great for DVR applications while being concise enough for VOD. Timed metadata would use a similar approach or perhaps leverage this track.

Interaction Another common use-case is to transmit user interactions, such as controller inputs or chat messages. It's up to the application to determine the format and encoding of these messages. Let's take controller input as an example. The application needs to determine its loss vs latency tolerance, as reordering or dropping inputs will lead to a poor user experience.

• If you don't want loss, then use a single GROUP with a FRAME per input.
• If you don't want latency, then use a GROUP per input with a single FRAME.
• If you want a hybrid, then use form of clustering inputs into GROUPs and FRAMEs based on time.

A publisher could monitor the session RTT or stream acknowledgements to get a sense of the latency and create Groups accordingly. However, this only applies to the first hop and won't be applicable when relays are involved.

Latency One explicit goal of MoqTransfork is to support multiple latency targets. This is accomplished by using the same Tracks and Group for all viewers, but slightly changing the behavior based on the subscription. This is driven by the subscriber, allowing them to choose the trade-off between latency and reliability. This may be done on the fly via SUBSCRIBE_UPDATE, for example if a high-latency viewer wishes to join the stage and suddenly needs real-time latency. The below examples assume one audio and one video track. See the next section for more complicated broadcasts.

Real-Time Real-time latency is accomplished by prioritizing the most important media during congestion and skipping the rest. This is slightly different from other media protocols which instead opt to drop packets. The end result is similar, but prioritization means utilizing all available bandwidth as determined by the congestion controller. A subscriber or publisher can reset groups to avoid wasting bandwidth on old data. A real-time viewer could issue: In this example, audio is higher priority than video, and newer groups are higher priority than older groups. Suppose a viewer fell behind after a burst of congestion and has to decide which groups to deliver next. This configuration would result in the transmission order: The user experience depends on the amount of congestion:

• If there's no congestion, all audio and video is delivered.
• If there's moderate congestion, the tail of the old video group is dropped.
• If there's severe congestion, all video will be late/dropped and some audio groups/frames will be dropped.

The value of group_expires is optional. In this example it means that the publisher automatically resets each group 100ms after they are no longer the latest. It's recommended to use the maximum jitter buffer size.

Unreliable Live Unreliable live is a term I made up. Basically we want low latency, but we don't need it at all costs and we're willing to skip some video to achieve it. This is useful for broadcasts where latency is important but so is picture quality. An unreliable live viewer could issue: This example is different from the real-time one in that audio is fully reliable and delivered in order. Of course this is optional and up to the application, as it will result in buffering during significant congestion. If the viewer goes through a tunnel and then comes back online, they won't miss any audio. A key difference is that our jitter buffer is much larger for video, 3s in this example. The player will tolerate up to 3s of latency before it starts skipping past video frames. Note that the group_expires value can be increased during buffering by issuing a SUBSCRIBE_UPDATE.

Reliable Live Reliable live is another term I made up. This is when we have a live stream but primarily care about picture quality. A good example is a sports game where you want to see every frame. A reliable live viewer could issue: This will deliver both audio and video in order, and with the same priority. The viewer won't miss any content unless the publisher resets a group. However, this can result in buffering during congestion and provides a similar user experience to HLS/DASH.

VOD / DVR Video on Demand (VOD) and Digital Video Recorder (DVR) both involve seeking backwards in a live stream. MoqTransfork can serve this use-case too, don't worry. A VOD viewer could issue: The application is responsible for determining the group sequence numbers based on the desired timestamp. This could be done via a timeline track or out-of-band. A subscriber will need a specific end or else it will download too much data at once, as old media is transmitted at network speed and not encode speed. It will need to issue an updated SUBSCRIBE to expand the range as playback continues and the buffer depletes. A subscriber could use SUBSCRIBE_UPDATE, however there are race conditions involved. A DVR player does the same thing but can automatically support joining the live stream. It's perfectly valid to specify a end in the future and it will behave like reliable live viewer once it reaches the live playhead. Alternatively, a DVR player could prefetch the live playhead by issuing a parallel SUBSCRIBE at a lower priority. This would allow playback to immediately continue after clicking the "Go Live" button, canceling or deprioritizing the VOD subscription.

Upstream All of these separate viewers could be watching the same broadcast. How is a relay supposed to fetch the content from upstream? MoqTransfork addresses this by providing the publisher's Track Priority and Group Order in the INFO message. This is the intended behavior for the first hop and dictates which viewers are preferred. For example, suppose the producer chooses: If Alice is watching a VOD and issues: If Bob is watching real-time and issues: For any congestion on the first mile, then the relay will improve Bob's experience by following the producer's preference. However any congestion on the last mile will always use the viewer's preference. A relay should use the publisher's priority/order only when there's a conflict. If viewers have the same priority/order, then the relay should use the viewer's preference and it can always issue a SUBSCRIBE_UPDATE when this changes.

Broadcast A broadcast is a collection of tracks from a single producer. This usually includes an audio track and/or a video track, but there are reasons to have more than that. This is transparent to moq-transfork, as the a higher level application is responsible for any grouping between tracks.

ABR Virtually all mass fan-out use-cases rely on Adaptive Bitrate (ABR) streaming. The idea is to encode the same content at multiple bitrates and resolutions, allowing the viewer to choose based on their unique situation. MoqTransfork unsurprisingly supports this via multiple Tracks, but relies on the application to determine the relationship between them. This is often done via a catalog track that details each track's name, bitrate, resolution, and codec. This includes how a group in one track corresponds to a group in another track. A common approach is to use the same Group Sequence number for all tracks, or perhaps utilize a timeline track to map between Group Sequences and presentation timestamps. The viewer may limit the available tracks based on capabilities or preferences. For example, the device may not support the 4K track since it uses AV1, or the screen size may be too small to justify the bandwidth. This is easy enough to support; just ignore these tracks in the catalog. The primary reason to use ABR is to adapt to changing network conditions. The viewer learns about the estimated bandwidth via the SESSION_UPDATE message, or by measuring network traffic and can then choose the appropriate track based on bitrate. Transitioning between tracks can be done seamlessly by utilizing prioritization. For example, suppose a viewer is watching the 360p track and wants to switch to 1080p at group 69. A real-time or unreliable live viewer could issue: A reliable live or VOD viewer could issue: The difference between them is whether to prioritize the old track or the new track. In both scenarios, the subscription will seamlessly switch at group 69 even if it's seconds in the future. The same behavior can be used to switch down.

SVC We touched on SVC before, but it's worth mentioning as an alternative to ABR. I want to see it used more often but I doubt it will be. Instead of choosing the track based on the bitrate, the viewer subscribes to them all: During congestion, the 4k enhancement layer will be deprioritized followed by the 1080p enhancement layer. This is a more efficient use of bandwidth than ABR, but it requires more complex encoding.

Conferences Some applications involve multiple producers, such as a conference calls or a live events. Even though these are separate broadcasts from potentially separate origins, MoqTransfork can still serve them over the same session.

Discovery The first step to joining a conference is to discover the available tracks. That's where ANNOUNCE comes in. The subscriber indicates interest in any tracks that start with a prefix, such as ["meeting", "1234"]. As new participants join, new tracks are announced, and the subscriber can choose to subscribe to them.

Participants Extending the idea that audio is more important than video, we can prioritize tracks regardless of the source. This works because SUBSCRIBE priority is scoped to the session and not the broadcast. When Alice starts talking or is focused, we can actually issue a SUBSCRIBE_UPDATE to increase her priority: Note that audio is still more important than video, but Alice is now more important than Frank. (poor Frank) This concept can further be extended to work with SVC or ABR:

Security Considerations TODO Security

IANA Considerations This document has no IANA actions.

Normative References In many standards track documents several words are used to signify the requirements in the specification. These words are often capitalized. This document defines these words as they should be interpreted in IETF documents. This document specifies an Internet Best Current Practices for the Internet Community, and requests discussion and suggestions for improvements. RFC 2119 specifies common key words that may be used in protocol specifications. This document aims to reduce the ambiguity by clarifying that only UPPERCASE usage of the key words have the defined special meanings.

Acknowledgments TODO acknowledge.