Digital filtering based on fast theoretical and numerical transformations for 5G systems

Abstract

Currently, a trend to increase the performance of wireless data transmission systems can be observed. This requires a new protocol for mobile communications. The draft IMT-2020 standard involves the use of promising 5G mobile networks. These systems must have characteristics that will exceed 4G standards. New technologies will provide a higher data rate and minimal network delays, which should not exceed 1 ms. To achieve these goals, the 5G standard involves the broadband transmission using FBMC (Filter Bank MultiCarrier) or UFMC (Universal Filtered MultiCarrier). Studies have shown that the UFMC method allows for better subcarrier filtration compared to FBMC comb filtration. However, the use of this method requires high computational costs, which negatively affects the speed of information transfer and network delays. Therefore, the aim of the article is to reduce network delays when using the technology of filtering UFMC signals by using a fast algorithm for performing theoretical and numerical transformations (TNT). Therefore, the development of a fast algorithm for performing theoretical and numerical signal transformations for OFDM systems that support the 5G standard is an urgent task