The rapid expansion of IoT devices and the transition to 5G/Beyond 5G networks are creating unprecedented demands on wireless infrastructure. Operators face pressure to increase capacity, reduce latency, and lower operational costs while managing a massive influx of connected devices. This technology directly supports these trends by optimizing spectrum utilization and enhancing multi-device connection stability, offering a critical solution for scalable and efficient network evolution.
Maximizes Processing Efficiency: Identifies communication similarity among wireless terminals to apply common self-interference cancellation patterns, potentially reducing processing load by up to 30% and significantly improving base station resource efficiency.
Optimizes for Communication Conditions: Dynamically selects the optimal self-interference cancellation method based on communication conditions between the base station and each wireless terminal, enhancing communication quality stability across diverse environments.
Establishes Stable IP Foundation: Patentability was confirmed after rigorous examination against four prior art documents, ensuring a robust and defensible right to support business expansion.
This patent protects the core technical feature of using common self-interference cancellation patterns based on similarity detection among wireless terminals in a full-duplex system. Its claims were rigorously examined and upheld against prior art, establishing a robust and clearly defined scope of protection.
While this patent covers optimized self-interference cancellation, it does not explicitly extend to advanced antenna array designs (e.g., massive MIMO) or novel modulation schemes. A licensee could develop complementary IP in these areas to further enhance overall system performance without direct conflict.
Implementing this technology could improve base station processing capacity, potentially reducing the number of required base stations by 10% while maintaining equivalent communication capacity. Additionally, improved processing efficiency is estimated to reduce annual power consumption by 15%. For a large telecommunications operator with 1,000 base stations, each incurring an annual operating cost (power, maintenance, etc.) of ~$15K (AI est.), the total annual cost savings could be calculated as: (1,000 stations × $15K/station × 10% reduction) + (1,000 stations × $15K/station × 15% power reduction) = ~$1.2M (AI est.) in annual cost savings.
X: Communication Efficiency & Throughput
Y: Multi-Terminal Connection Stability