MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541133549 A) filed by Dr. Mahalingam College Of Engineering And Technology, Coimbatore, Tamil Nadu, on Dec. 30, 2025, for 'machine learning assisted adaptive ldpc decoding method for 5g communication systems.'
Inventor(s) include S. Jeya Nandini; and Dr. N. Saravanakumar.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "In modem wireless communication, hlgh data rates, reliable transmission, and low power consumption are essential. LDPC coders are used in the receiver end to correct errors in received data. However, LDPC decoding is carried out through an iterative process that usually operates with fixed parameters, regardless of actual channel conditions or decoding progress. Due to these fixed operating parameters, it leads to increased power consumption and decoding delay. To overcome tills limitation, the proposed invention introduces a machlne learning-assisted adaptive decoding approach. Where the machine learning-based control unit is integrated into the existing LDPC decoder without altering its functionality. When the decoding result becomes reliable, i.e., error-free, the decoding process is terminated abruptly without processing further iterations. Thus, by doing so, this invention improves the overall efficiency of the decoder block in the receiver end by reducing power usage and processing delay without interrupting the ideal operation of the LDPC decoder."
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