The relentless surge in global data traffic and the expansion of connected devices necessitate groundbreaking advancements in spectral efficiency. Industries from manufacturing to logistics are increasingly reliant on real-time data for automation and operational intelligence, demanding ultra-low latency and high-reliability wireless links. This technology directly addresses these pressures by enabling true full-duplex communication, which is critical for unlocking the full potential of 5G, industrial IoT, and autonomous mobility solutions worldwide.
Reduces self-interference noise to noise levels using lazy learning.
Boosts effective communication efficiency by up to 2x through real-time parameter adaptation.
Integrates easily with existing systems, primarily through software updates.
This patent, comprising six claims, protects a robust self-interference suppression algorithm and its database-driven implementation within a receiver. Its registration after overcoming an office action indicates a clear, strong scope of rights, making it less susceptible to invalidation and demonstrating a clear differentiation from prior art.
This patent primarily covers the algorithmic and database-driven self-interference suppression within the receiver. White space exists in developing novel hardware architectures for ultra-compact full-duplex transceivers or integrating this technology with advanced network slicing and edge computing paradigms.
Assuming a 1.5x increase in effective full-duplex throughput, this technology enhances bandwidth utilization and boosts data processing capacity while curbing new capital expenditure. For an enterprise with ~$6.5M (AI est.) in annual communication infrastructure operating costs, efficiency gains could yield ~$1.3M (AI est.) in cost savings. Additionally, new low-latency, high-reliability services could generate ~$350K (AI est.) in annual revenue opportunities.
X: Communication Efficiency
Y: Real-time Responsiveness