The proliferation of 5G, IoT, and high-resolution media (8K/VR) is creating unprecedented pressure on existing network infrastructures, demanding more resilient and efficient data transmission. Enterprises and consumers alike require seamless, low-latency data delivery across diverse environments. This technology provides a critical solution by optimizing multi-path data flow, reducing operational costs, and enhancing service quality, positioning it as a key enabler for smart cities, advanced manufacturing, and immersive entertainment experiences globally.
Improves transmission stability by ~30% by precisely controlling transmission delay differences and packet reordering across multiple broadcast and IP networks.
Reduces costs by leveraging existing infrastructure, demonstrating high compatibility with IP-based communication transmission paths to maximize existing broadcast and IP network equipment.
Increases bulk data transmission efficiency by 1.5x through segmented frames and identification information compliant with transmission methods like ISDB-S3.
This patent protects a robust system for multi-path data transmission, specifically covering the functional components of transmitting and receiving devices that manage TLV packet conversion, segmented frame generation, unique identifier assignment, and advanced reordering and delay difference compensation. It has withstood examiner scrutiny against four prior art documents, demonstrating a clear and stable scope of claims that effectively prevents imitation.
This patent primarily focuses on data reordering and delay compensation in multi-path transmission. White space exists in developing novel physical layer transmission techniques, advanced data compression algorithms, or application-specific protocols that leverage this stable transmission foundation.
Implementing this technology could reduce the error rate in complex multi-path transmissions due to reordering and delay differences by an average of 20%. This translates to a 20% reduction in annual operational maintenance costs for error handling (e.g., 5 maintenance personnel at $50K/person annually (AI est.)) and a 10% reduction in opportunity loss from service interruptions (e.g., $35K/month (AI est.) × 12 months). This totals an estimated direct cost reduction of ($250K (AI est.) × 0.2) + ($400K (AI est.) × 0.1) = $50K (AI est.) + $40K (AI est.) = $90K (AI est.) annually. Furthermore, improved service quality is expected to reduce customer churn, leading to an overall economic benefit of approximately $1.0M (AI est.) per year.
X: Data Transmission Reliability
Y: Existing Infrastructure Utilization Efficiency