Programmable FEM Noise Cancellation for Wi-Fi 7 Multilink Interference
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Solution Overview
Problem
The challenge of managing interference between independent TDD bands in multilink Wi-Fi 7 devices, where one band transmits while the other receives, is significant due to RF signal coupling and inefficient solutions that require devices to wait for transmission opportunities, leading to reduced data throughput.
Innovation Solution
A front-end module (FEM) with parallel filters and noise cancellation circuits, featuring programmable taps, dynamically adjusts noise cancellation based on operation mode and frequency proximity to effectively filter and cancel noise, creating a configurable filter for both transmit and receive modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If devices wait for transmission opportunities to avoid interference, then interference between bands is reduced, but data throughput decreases
Solution Approach 1:
The noise cancellation circuit proactively generates cancellation signals before interference occurs by predicting the transmit band noise based on previously stored transmit signals. This preliminary anti-action allows the receive band to be protected in advance, eliminating the need to wait for transmission opportunities and maintaining continuous data throughput while preventing interference.
Solution Approach 2:
The system stores transmit signals in advance and uses them to generate noise cancellation signals before they are needed. By preparing the cancellation signals beforehand based on stored transmit band information, the system can immediately cancel interference when receive operations occur, avoiding throughput loss from waiting.
2Object-affected harmful factors
If parallel filters and noise cancellation circuits are used, then noise cancellation effectiveness is improved, but device complexity increases
Solution Approach 1:
The noise cancellation circuit serves multiple functions: it filters noise from the receive band, cancels interference from the transmit band, and dynamically adapts to different frequency bands. By making the circuit multi-functional, the patent reduces the need for separate dedicated circuits for each function, thereby managing complexity while maintaining effectiveness.
Solution Approach 2:
The system dynamically adjusts the noise cancellation parameters based on the active frequency bands and operation mode (transmit or receive). This dynamic adaptation allows a single configurable circuit to handle multiple scenarios effectively, reducing the need for multiple fixed circuits and managing overall device complexity.
3Adaptability or versatility
If dynamic programming of taps is implemented, then adaptability to different frequency bands is improved, but processing complexity increases
Solution Approach 1:
The system changes the parameters of the noise cancellation circuit (tap weights, filter coefficients) dynamically based on the active frequency bands and operation mode. By adjusting these parameters rather than redesigning the entire circuit, the system achieves high adaptability to different Wi-Fi bands (2.4 GHz, 5 GHz, 6 GHz) while keeping the underlying circuit structure relatively simple.
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 efficiently reduces interference by dynamically filtering and canceling noise, ensuring optimal performance in both transmit and receive modes, enhancing data throughput and reducing inefficiencies in multilink operations.
Implementation Method 1
the first filter being configured to produce the first conditioned signal based on the first electrical signal
Implementation Method 2
the first noise cancellation circuit being configured to produce a first cancellation signal based on the first electrical signal
Implementation Method 3
the second node being configured to receive the first conditioned signal and the first cancellation signal
Data Source
AI summary
Aspects and elements of this disclosure relate to a Front End Module comprising: an input; a filter; a noise cancellation circuit including a plurality of programmable taps that can be dynamically programmed to determine one or more frequency bands for which the noise cancellation circuit provides noise cancellation dependent upon whether the FEM is operating in a transmit mode of operation or a receive mode of operation, and further based on a proximity of the one or more frequency bands for which the noise cancellation circuit provides noise cancellation to a frequency band associated with the transmit mode of operation or the receive mode of operation; and a summing node coupled between the filter, noise cancellation circuit, and receive node, and configured to sum the output of the filter and the noise cancellation circuit.