er a DOCSIS cable modem sharing coax access or wire- less: consider the air/wireless interface as the shared medium). This opens the question of how many users should be allowed to share this (fronthaul) medium (Fig. 3-1). Similarly, the backhaul medium (from the wireline cable head-end or the wireless base station) is lim- ited as compared to the peak throughput sustained by the system it is providing access to. This topic is referred to as oversubscription or statistical multiplexing of the access medium, using the fact that even during periods of heavy usage, not all subscribers/systems will be trying to use the system at peak throughput and we can thus dimension for a (lower) average rate, with a percentage likelihood that consumer satisfaction is achieved. As said, oversubscription is not unique to any unit or interface in the system. It applies to the Core Network, CU, and DU components as well as the mid- and backhaul interfaces. We assume-for now-that the fronthaul interface to the RU is dimensioned for peak capacity rather than average, even though even this is not per se the case: techniques such as Bandwidth Partitioning in 5G allow us to implement statistical multiplexing over the fronthaul interface. Traffic requirements based performance analysis One way to analyze requirements is to ignore the advertised peak and average consumer rates completely, and instead look at what we know about the overall consumer pool requirements. This averages out all users over time and as such applies to the core network, CU, and potentially DU pieces of the overall solution. Consumer Internet Traffic is sourced from Cisco, 1 shown below graphically below in Fig. 3-2. The split between mobile and fixed network traffic is shown below in Fig. 3-3. The overall internet traffic, taking in to account the split over fixed versus mobile network, it is possible to project the amount of internet traffic per household. Note that per the Central Radio Unit Midhaul Central Distributed Radio Unit Network Backhaul Fronthaul Network