The global broadcast industry faces increasing pressure to deliver uninterrupted, high-quality content while optimizing network efficiency. The proliferation of SFNs, though beneficial for spectrum, introduces complexities in network management and fault resolution. Furthermore, regulatory bodies worldwide emphasize the need for robust emergency broadcast systems capable of precise information dissemination. This technology provides a critical tool for operators to meet these demands, ensuring service continuity and compliance, while gaining a competitive edge through enhanced operational intelligence.
Ensures zero impact on signal quality by embedding TxID signals into the One-Seg broadcast segment, preserving existing high-quality broadcast services.
Achieves high-precision identification in complex Single Frequency Network (SFN) environments, significantly improving operational efficiency and rapid fault isolation.
Optimizes TxID signal design based on ISDB-T physical layer parameters (OFDM symbol length, GI length, SP insertion ratio), demonstrating strong technical uniqueness with only 5 prior art references.
This patent protects a robust system for transmitting, relaying, and receiving broadcast station ID signals within SFN environments without affecting ISDB-T demodulation. It specifically covers the optimized design of TxID signals based on ISDB-T physical layer parameters, ensuring broad and stable claim coverage for enhanced network identification.
This patent primarily covers TxID signal embedding for ISDB-T in SFN environments. White space exists in applying similar identification principles to other digital broadcast standards (e.g., DVB-T, ATSC), or integrating TxID data with advanced network analytics and AI-driven predictive maintenance systems.
Troubleshooting and maintenance in large SFN broadcast networks incur significant labor. For a 500-station network experiencing 100 SFN-related incidents annually, assuming 10 person-days of investigation at ~$330/person-day (AI est.) and ~$6.5K (AI est.) in lost opportunity per incident: Current annual cost is (100 incidents × 10 person-days × ~$330/person-day) + (100 incidents × ~$6.5K) = ~$1M (AI est.). Implementing this technology could reduce investigation effort and opportunity loss by 20%, resulting in an estimated annual operational cost reduction of ~$200K (AI est.).
X: SFN Identification Accuracy
Y: Ease of System Integration