MaxLinear. has been granted a patent for a method and apparatus designed for bonded channel networks using two interconnected MoCA 2.0 SoCs. The innovation involves segmenting data for transmission over primary and secondary channels, optimizing symbol determination based on various technical parameters. GlobalData’s report on MaxLinear gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on MaxLinear, Digital watermarking was a key innovation area identified from patents. MaxLinear'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.
Bonded channel transmission method using moca 2.0 socs
The granted patent US12074695B2 outlines a method and network node for efficiently transmitting data over two bonded channels, specifically utilizing Orthogonal Frequency Division Multiplexing (OFDM) and Low Density Parity Check (LDPC) coding techniques. The method involves determining the number of symbols required to carry data by considering various factors, including the number of bits per OFDM symbol, the number of parity bits per LDPC codeword, the maximum LDPC codeword payload sizes derived from Error Vector Magnitude (EVM) reports, and the overhead associated with bonded channel frame splitting. The claims detail a systematic approach to approximate the maximum payload bits per OFDM symbol for each channel, which is essential for optimizing data transmission.
Additionally, the patent describes a network node designed to implement this method, featuring modules capable of calculating the necessary symbols for data transmission based on the aforementioned parameters. The node can differentiate between a primary channel and an extension channel, allowing for a tailored approach to data handling. It also emphasizes the importance of maintaining consistent parity bits across channels and utilizing EVM reports to enhance the accuracy of payload size estimations. The claims further explore the relationship between the payload capacities of the primary and extension channels, ensuring that the data transmission process is both efficient and reliable.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
