This use‐case showcases a Distributed Intelligence system for Fiber‐to‐the‐Room (FTTR) that provides enhanced monitoring and control in a multi‐room residential environment. Leveraging local compute capabilities at Master Function Unit (MFU)s and a hierarchical telemetry framework, the solution continually observes network conditions, analyzes data in real time, and performs closed‐loop actions to optimize performance including power consumption savings.
To demonstrate the envisioned benefits, a virtual reality (VR) gaming scenario will be set up in a three‐room scenario, each equipped with an FTTR Slave Function Unit (SFU). By distributing intelligence throughout the network, the system can dynamically allocate resources and coordinate device reconfiguration to sustain a smooth VR gaming experience, while keeping the energy consumption at the lowest possible level.
This same scenario is also tested under a Fiber‐to‐the‐Home (FTTH) setup—using a single Wi‐Fi Access Point (AP)—to highlight performance gains with FTTR. Results will be evaluated for throughput, latency, and user experience, providing a comparison of how distributed intelligence can improve QoS and guarantee high performance within next‐generation residential networks.
