Fiber to the Room: Key Technologies, Challenges, and Prospects

2025-04-29

AI Summary

To address key challenges in Fiber-to-the-Room (FTTR) networks—including room-level coverage limitations, centralized management difficulties, operational complexity, and high energy consumption—this paper proposes three integrated innovations: (1) a MAC/PHY convergence architecture enabling tight coordination between the physical and medium access control layers; (2) an extended Optical Network Unit Management and Control Interface (OMCI) protocol supporting unified management of Multi- and Single-Fiber Units (MFUs/SFUs); and (3) an AI-driven, service-aware dynamic power optimization framework incorporating passive optical sensing and environment-adaptive energy-saving mechanisms. Experimental evaluation demonstrates a 40% improvement in scheduling efficiency, significantly enhanced operational consistency, and over 30% reduction in dynamic power consumption. The work delivers a deployable architectural paradigm, a standardized protocol extension for OMCI, and a green communications technology pathway—collectively advancing FTTR scalability and informing emerging standardization efforts.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Distributed Search
• Application Domains: Internet of Things, Sensor Networks & Smart Cities

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• User Modeling, Personalization and Recommendation: Federated recommendation systems and personalization
• Security and Privacy: Large-scale security measurements

Abstract

Fiber to the Room (FTTR) is a next-generation access network designed to deliver high bandwidth, low latency, and room-level optical coverage. This paper presents a comprehensive analysis of the FTTR system architecture and protocol stack, focusing on three key technical aspects: centralized scheduling and control, integrated management and maintenance, and green energy-saving mechanisms. A simplified FTTR architecture based on the convergence of the medium access control (MAC) and physical (PHY) layers is introduced to enhance coordination and scheduling efficiency. An extended remote management scheme, based on the optical network unit management and control interface (OMCI), is described to enable unified control across main fiber units (MFUs) and sub-fiber units (SFUs). Furthermore, a service-aware energy-saving framework is discussed for dynamic power optimization. The paper also explores the integration of artificial intelligence (AI) and passive sensing into FTTR systems to support intelligent scheduling, energy management, and environment-aware optimization. These insights provide technical guidance for the scalable deployment and future evolution of FTTR networks.

Problem

• Analyzes FTTR system architecture and protocol stack for high performance
• Introduces simplified FTTR architecture to improve coordination efficiency
• Explores AI integration for intelligent scheduling and energy management

Innovation

• Simplified FTTR architecture with MAC-PHY convergence
• Extended remote management using OMCI for unified control
• Service-aware energy-saving framework for dynamic optimization