Sequans Communications has been granted a patent for an interference imbalance manager (IIM) system and method. The technology involves adjusting noise and interference power estimates based on collisions between subcarrier sets and intra-frequency cells, improving wireless communication efficiency. 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 February 2024 was 65%. Grant share is based on the ratio of number of grants to total number of patents.

Interference imbalance manager method for adjusting noise and interference

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

A recently granted patent (Publication Number: US11917667B2) discloses a method for an interference imbalance manager (IIM) that involves an outer loop over subcarrier sets and an inner loop over dominant intra-frequency cells. The method initializes noise plus interference power estimates for each subcarrier set, determines collisions between cell pilots and subcarrier sets, and adjusts interference plus noise accordingly. The program provides adjusted outputs after all adjustments are complete for each subcarrier set.

Furthermore, the method includes steps for resetting a counter, repeating the adjustment process for each subcarrier set, and adding back removed interference power if interference cancellation has been applied prior to estimation. The algorithm checks for pilot collisions, performs loops over dominant intra-frequency cells, and adjusts interference levels based on collision outcomes. The method ensures that interference from collided cell pilots is appropriately removed and added back to the noise plus interference estimate, ultimately optimizing interference management in cellular networks.

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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.