Growing demand for broadband-dependent services, including cloud computing, telemedicine, ultra-high-definition streaming, enterprise remote work, and Internet of Things connectivity, has increased pressure on cable operators to expand network capacity, reduce latency, and maintain scalable infrastructure. This study examines the architectural requirements, multi-vendor interoperability challenges, and phased deployment strategies associated with the evolution of Data Over Cable Service Interface Specification (DOCSIS) 4.0 over existing Hybrid Fiber-Coaxial infrastructure. The analysis focuses on Extended Spectrum DOCSIS and Full Duplex DOCSIS architectures and uses a leading U.S. Tier-1 cable operator as an operational reference for large-scale deployment considerations. Industry validation results, deployment practices, interoperability requirements, and the emerging 3 GHz DOCSIS roadmap are synthesized to establish a structured framework for national-scale implementation in heterogeneous multi-vendor environments. The findings indicate that interoperability among Cable Modem Termination Systems, Remote PHY Devices, and Customer Premises Equipment from multiple vendors can be supported through systematic interoperability testing, coordinated firmware lifecycle governance, and standardized Proactive Network Maintenance data management. The analysis also indicates that phased deployment can limit service disruption and operational risk while enabling progressive migration toward multi-gigabit broadband services. The proposed framework integrates network architecture planning, vendor interoperability management, operational readiness, and deployment sequencing into a coordinated implementation approach. This approach provides cable operators with a practical basis for managing technological transition from existing Hybrid Fiber-Coaxial networks toward higher-capacity DOCSIS 4.0 architectures while accommodating heterogeneous equipment, evolving spectrum requirements, and long-term network scalability. The framework also supports structured decision-making for aligning technical modernization with operational continuity during large-scale broadband network transformation
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