Computing Various Optimal Performance Trade-Offs Parameters for FBMC Based Modulation Scheme

25 Jun

Authors: Research Scholar Nandkishor P. Sonawane, Assistant Professor Surekha Patil

Abstract: Filter Bank Multicarrier compresses data more tightly for one reason? It bypasses the cyclic prefix step entirely. Still, that efficiency comes at a price – processors work harder even under strict constraints. based on the experiments runs the performance of develop FBMC configurations is assessed. Tracing signals from filter to delivery steps allows each trial to track BER, power spikes compared to typical baselines, and total data transported. Change things like pulse form or distance between subcarriers, performance moves in unambiguous ways. Because symbols spread out, they carry deeper detail and cut mistakes. If filtering occurs too frequently, blur begins to appear. However, the signal becomes blurry when filters are repeated too frequently. Sizing is crucial because peak power increases dramatically as symbol length increases. Choosing the proper filter repeat level is important because either extreme throws off performance. PAPR increases with sequence growth, particularly between 10,000 and 100,000 symbols. As interference decreases, speed rapidly increases; this is especially noticeable in large sets that are close to 20,000 units at maximum intensity.

DOI: https://doi.org/10.5281/zenodo.20844915