Multi-Channel RF Signal Filtering for Interference Reduction
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently utilizing multiple radio frequency channels simultaneously, leading to underutilization of available spectrum and increased interference, particularly in densely populated areas with growing data demands.
Innovation Solution
A system that identifies and utilizes multiple non-adjacent radio frequency channels by applying pseudorandom sequences and digital filtering to spread data signals across available channels, allowing simultaneous transmission and reception over multiple channels while reducing power levels in unused channels, thereby optimizing spectrum use and minimizing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple radio frequency channels are used simultaneously, then data transmission capacity is improved, but interference between channels increases
Solution Approach 1:
The patent divides the radio frequency spectrum into multiple non-contiguous channels (e.g., channels 21-35 and 39-51) separated by guard bands. This segmentation allows simultaneous transmission on multiple channels while using the guard bands to reduce interference between adjacent channels, resolving the contradiction between capacity and interference.
Solution Approach 2:
The patent applies different power levels to different channels based on their specific characteristics and interference requirements. By adjusting the power level of each channel individually, the system optimizes data transmission capacity on each channel while controlling overall interference, particularly in densely populated spectral regions.
2Productivity
If more channels are utilized, then spectrum efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the frequency spectrum into distinct non-contiguous channels with guard bands, allowing the system to manage multiple channels in an organized manner. This segmentation simplifies channel management and reduces the complexity of coordinating multiple simultaneous transmissions.
Solution Approach 2:
The patent employs dynamic power level adjustments for each channel based on real-time interference conditions and data transmission requirements. This dynamic adaptation allows the system to maintain high spectrum efficiency while managing complexity through automated power control rather than static channel configuration.
3Productivity
If data transmission rate is increased, then productivity is improved, but signal-to-interference ratio deteriorates
Solution Approach 1:
By segmenting the spectrum into non-contiguous channels separated by guard bands, the patent reduces interference between channels, thereby maintaining a higher signal-to-interference ratio even when transmitting data at high rates across multiple channels simultaneously.
Solution Approach 2:
The patent adjusts the power level of each channel individually to optimize the signal-to-interference ratio for that specific channel. This local optimization ensures that high data transmission rates can be maintained on each channel while controlling the overall interference level, thus preserving reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables dynamic spectrum use, enhancing data transmission rates and reducing noise, allowing for efficient communication with a large number of devices while maintaining low signal-to-interference ratios, thus improving network capacity and robustness.
Implementation Method 1
A transmission of data to a single device may include application of a pseudorandom sequence to the data to spread the energy of the data signal over a wider frequency range
Implementation Method 2
A digital filtering system may remove the frequency components that correspond to the unavailable channels
Implementation Method 3
The resulting signal may be converted from digital to analog, and a front-end analog transceiver may pass the predetermined portion of wireless spectrum through the front-end without filtering the signal on a single-channel basis. The analog transceiver may translate the analog signal from baseband to frequency for transmission
Data Source
AI summary
In general, the subject matter described in this specification can be embodied in methods, systems, and program products for identifying data that is designated for wireless transmission to a remote computing device. A digital signal that encodes the data for transmission across a band of radio frequency channels is generated. Multiple radio frequency channels in the band that are available are determined. The digital signal is filtered to substantially reduce a power level of the digital signal at frequencies that correspond to channels in the band that have not been determined to be available. The filtered digital signal is converted to an analog signal. The analog signal is provided to an analog transmitter that isolates the band of channels to generate an isolated analog signal and that wirelessly transmits the isolated analog signal over the multiple available channels using one or more antennas.


