Deterministic Networking is an attempt to mostly eliminate packet loss for a
	committed bandwidth with a guaranteed a worst case end-to-end latency, even
	when co-existing with best-effort traffic in a shared network. It is getting
	traction in various industries including manufacturing,	professional A/V,
	cellular radio and others, making possible many cost and performance
	optimizations. 
	
	This innovation is enabled by recent developments in technologies including
	IEEE 802.1 TSN (for Ethernet LANs) and IETF DetNet (for wired IP networks).
 	Reliable and Available Wireless (RAW) networking services extend DetNet
    services to approach end-to-end deterministic performances in a network with
    scheduled wireless segments, possibly combined with wired segments. 
	
	IP networks become more deterministic when the effects of statistical
	multiplexing (jitter and collision loss) are eliminated. This requires a 
	tight control of the physical resources to maintain the amount of traffic
	within the physical capabilities of the underlying technology, e.g., by the 
	use of time-shared resources (bandwidth and buffers) per circuit, and/or by
	shaping and/or scheduling the packets at every hop.
 
	Wireless networks operate on a shared medium, and thus transmissions cannot
	be fully deterministic due to uncontrolled interferences, including the
	self-induced multipath fading. However, scheduling of transmissions can
	alleviate those effects	by leveraging diversity in the spatial, time and
	frequency domains, providing a more predictable and available service.
	
	The wireless and wired media are fundamentally different at the physical 
	level, and while the generic Problem Statement for DetNet applies to the 
	wired as well as the wireless medium, the methods to achieve RAW will
	differ from those used to support time-sensitive networking over wires. 
	
	The development of RAW technologies has been lagging behind deterministic 
	efforts for wired systems both at the IEEE and the IETF. But recent efforts 
	at the IEEE and 3GPP indicate that wireless is finally catching up at the 
	lower layer and that it is now possible for the IETF to extend DetNet for
	wireless segments through the use of scheduling of wireless transmissions.

	The RAW WG will centralize efforts that inherit from DetNet and 6TiSCH,
    with a primary focus on scheduled wireless operations. The Working Group
    will leverage cross-participation with the associated set of stakeholders to
	ensure that the work taking place corresponds to real demands and that the
	proposed solutions are indeed applicable. It will focus on enabling RAW
	connectivity over the following	selection of deterministic wireless
	technologies: IEEE Std. 802.15.4 timeslotted channel hopping (TSCH), 3GPP 5G
	ultra-reliable low latency communications (URLLC), IEEE 802.11 extreme high
	throughput (EHT) and the L-band Digital Aeronautical Communications System
	(LDACS). 

    The group will:

        1) Produce informational documents describing deterministic wireless
           use cases, in continuation to the DetNet Use Cases document
		
        2) Produce informational documents describing the technologies that the
           group will cover (e.g., URLLC, TSCH, EHT and possibly LDACS) 

        3) Produce a Standards Track document to define a generic data model
           to install a RAW flow along a Track in a scheduled wireless network. 
           The data model will describe extended DetNet Service Functions such
           as Packet ARQ, Replication, Elimination and Ordering functions, which 
           require the logical correlation of one or more receptions with one or
           more transmissions. It will also enable to commit resources in the
           network and request diversity in the spatial, frequency and time
           domains. Programming the specifics of how a particular technology
           schedules its resources is a non-goal and often the object of a local
           optimization within the technology.
           
        4) Produce a Standards Track document to enable operations, 
           administration and maintenance (OAM) inside a RAW network, providing
           packet loss evaluation, self-testing and automated adaptation to
           enable trade-offs between resilience and energy consumption.