The global demand for higher data rates and lower latency in wireless communication is intensifying, driven by advancements in 5G/6G, IoT, and immersive media. With spectrum scarcity and energy efficiency becoming critical concerns, technologies that maximize spectral efficiency and reduce operational costs are highly valued. This patent offers a foundational solution to these challenges, enabling network operators and equipment manufacturers to meet escalating performance expectations while managing energy footprints and infrastructure costs.
Increases transmission efficiency by up to 20% by applying optimal signal point mapping for modulation and error correction codes within the same bandwidth.
Reduces power consumption by up to 15% in base stations and terminals by achieving equivalent communication quality with lower transmission power.
Enhances noise immunity and reliability, ensuring stable, high-quality data transmission even in challenging communication environments.
This patent protects an optimized signal point mapping rule for SC-FDE systems, specifically defining radius ratios for 16APSK and 32APSK modulation based on convolutional coding rates. The claims are compact and clearly define the technical scope, making it robust and difficult for third parties to circumvent.
This patent focuses on SC-FDE signal mapping; adjacent white space could include novel equalization techniques beyond frequency domain equalization, advanced multi-user MIMO scheduling algorithms, or higher-layer protocol optimizations for specific application types not directly covered by the physical layer mapping.
Implementing this technology could improve transmission efficiency and reduce power consumption in wireless communication infrastructure. For a large communication or broadcasting operator with annual network operational costs (power, bandwidth, retransmission processing, etc.) of ~$6.5M (AI est.), combining a 15% improvement in transmission efficiency and power reduction could yield an estimated annual cost savings of ~$1.0M (AI est.). This could significantly shorten ROI periods and boost overall profitability.
X: Frequency Utilization Efficiency
Y: System Implementation Flexibility