Evaluation of FBMC/OQAM performance using Hybrid MGDFT and PTS approaches in terms of BER, Spectral Efficiency, and PAPR
The fast advancement of next-generation wireless communication systems requires effective multicarrier transmission methods that improve performance metrics, including Bit Error Rate (BER), Peak-to-Average Power Ratio (PAPR), and Spectral Efficiency (SE). Filter Bank Multicarrier with Offset Quadrature Amplitude Modulation (FBMC/OQAM) has emerged as a promising contender for 6G systems due to its enhanced SE and resilience to frequency selectivity. Nonetheless, the elevated PAPR and BER in FBMC/OQAM systems persist as significant challenges. This paper proposes a hybrid strategy that integrates the Modified Generalized Discrete Fourier Transform Spreading (MGDFTS) technology with the Partial Transmit Sequence (PTS) scheme to improve the performance of FBMC/OQAM systems. The merged operation of MGDFTS and PTS not only minimizes PAPR but also enhances the performance of BER and spectrum efficiency. We thoroughly assess the proposed hybrid model via extensive simulations and performance evaluations, comparing it with traditional FBMC/OQAM systems and recent optimization methods. Simulation findings indicate that the proposed hybrid MGDFTS-PTS method significantly decreases PAPR while preserving a low BER and enhancing SE. This study highlights the promise of the hybrid approach as an acceptable choice for advanced multicarrier communication systems, aiding in the advancement of high-performance 6G networks.
Authors
- K Kirubasankar
- Karthik Kumar Vaigandla (ORCID: https://orcid.org/0000-0001-9027-4715)
- N Sivapriya
- R. Mohandas (ORCID: https://orcid.org/0000-0003-2768-8442)
Institutions
- Chennai Mathematical Institute (IN)
- Institute of Electronics (CN)
Publication Details
- Journal
- International Research Journal of Multidisciplinary Technovation
- Published
- 2025-05-05
- DOI
- https://doi.org/10.54392/irjmt25313
- Citations
- 1
- Primary Topic
- PAPR reduction in OFDM
- Type
- article
- Field-Weighted Citation Impact
- 0.73