Sequans Communications has been granted a patent for a method of Digital Pre-Distortion (DPD) performance optimization. The method involves selecting a Multi Tone Power Ratio signal for SNR estimation, initializing DPD coefficients, estimating SNR, calculating a cost function, and optimizing DPD coefficients based on channel capacity. GlobalData’s report on Sequans Communications gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Sequans Communications, IoT-5G convergence was a key innovation area identified from patents. Sequans Communications's grant share as of July 2024 was 65%. Grant share is based on the ratio of number of grants to total number of patents.

Digital pre-distortion (dpd) performance optimization method

Source: United States Patent and Trademark Office (USPTO). Credit: Sequans Communications S.A.

The granted patent US12057870B2 outlines a method for optimizing Digital Pre-Distortion (DPD) performance, focusing on enhancing signal quality in communication systems. The method begins with the selection of a Multi Tone Power Ratio (MTPR) signal as a DPD adaptation stimulus, which aids in estimating the frequency domain signal-to-noise ratio (SNR). Initial DPD coefficients are set, followed by SNR estimation across multiple frequencies. A cost function is then calculated based on the estimated SNR and channel capacity, leading to the numerical optimization of the DPD coefficients. The process allows for updates to the DPD coefficient set based on this optimization.

Further details in the claims specify that the initialization of DPD coefficients can occur while the system operates in its standard mode, which includes parameters like output power and bandwidth. The SNR estimation can be conducted through either external or internal implementations, with the latter involving signal sampling through the system's receive path. The optimization process may utilize various algorithms, such as gradient or pattern search, and can incorporate additional inputs like Minimum Mean Square Error (MMSE) levels. The cost function is designed to include frequency weights and penalty constraints, addressing factors such as out-of-band spectral egress and spectral flatness, thereby ensuring a comprehensive approach to DPD performance enhancement.

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