Smartly Managing Radio Frequencies for Better Wireless

This patent describes a system that dynamically manages and prioritizes how radio frequencies are used, making wireless communication more efficient by using sensors and data analysis.

What it covers

This patent covers a system designed to intelligently manage radio frequencies, also known as spectrum. It uses monitoring sensors to understand how the airwaves are being used. A data analysis engine processes this information. Then, a 'tip and cue server' combines this real-time usage data with other information to create actionable insights. These insights help decide how to prioritize and utilize different frequencies, ensuring that critical communications get the best signal and that overall spectrum use is efficient. For example, it could ensure a police radio transmission isn't interrupted by less critical data traffic.

What it doesn't cover

• —Does not cover systems that do not use dedicated monitoring sensors.
• —Does not cover spectrum management that relies solely on pre-set schedules without dynamic analysis.
• —Does not cover systems that lack a 'tip and cue server' to generate actionable data.
• —Does not cover spectrum utilization that is not prioritized based on real-time conditions.
• —Does not cover applications that do not interact with the spectrum management system.

The clever bit

The innovation lies in combining real-time environmental awareness of spectrum usage with a 'semantic engine' and 'programmable rules' to create truly dynamic and prioritized allocation, rather than relying on static assignments or simpler adaptive methods.

Why it matters

Efficient use of radio frequencies is critical for everything from mobile phones to emergency services and advanced technologies like autonomous vehicles. As wireless demand grows, managing this limited resource becomes increasingly important. This patent aims to provide a more sophisticated way to allocate spectrum dynamically, potentially improving reliability and capacity for various wireless applications.

Real-world examples

• 1.Future wireless network infrastructure
• 2.Advanced public safety communication systems
• 3.Dynamic spectrum sharing in cellular networks
• 4.Military communication systems