Deterministic Networking is getting traction in various industries including
	manufacturing, professional A/V, cellular radio, and others. This innovation is enabled by recent
	developments in wired network technologies including IEEE 802.1 TSN (for Ethernet LANs) and IETF DetNet (for IP networks). 
	These technologies enable performance guarantees for time-sensitive traffic even 
	when running on the same network as best-effort traffic, making possible many cost and performance optimizations.

	The goal of the Predictable and Available Wireless (PAW) service is to 
	enable deterministic performance in a wireless network, including the use 
	of wireless segements in wired deterministic networks such as DetNet and TSN. 
	
	Deterministic Networking in the IP world is an attempt to eliminate packet 
	loss for a committed bandwidth while ensuring a worst case end-to-end 
	latency, regardless of the network conditions and across technologies. 
	
	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 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 wireless (PAW) 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 PAW necessarily
	differ from those used to support time-sensitive networking over wires. 
	
	The development of PAW technologies today has lagging behind 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 deterministic networking to 
	wireless segments through the use of scheduling of wireless transmissions.

	Thus we propose to pursue deterministic wireless in PAW, an IETF Working Group, 
	coordinated with (but not part of) the DetNet Working Group. 
	
	PAW will centralize efforts that inherit from DetNet, 6TiSCH, and other 
	wireless protocol developments, but it will focus 
	primarily on scheduled wireless. 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 PAW connectivity over at least 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 work describing deterministic wireless
           use cases, in continuation to the DetNet Use Cases document
		
         2) Produce informational work describing the technologies that the
            group will cover (e.g. 5G, TSCH, RTA and LDACS) 

        3) Produce a Standards Track document to define the generic data models
           to install a PAW flow along a track providing packet replication, 
           elimination and ordering functions with spatial, frequency and time
           diversity in a scheduled FD/TDMA wireless network.

        4) Produce a Standards Track document to enable operations, 
           administration and maintenance (OAM) inside a PAW network, providing
           packet loss evaluation and automated adaptation to enable trade-offs
           between resilience and energy consumption.