Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 12, 2025Defence Science JournalOpen Access

Performance Analysis of ANN-Based Improved Modulation Classification for GFDM System

View Full Paper
Ask AI
Bookmark
Share

Authors

AKAylapogu Pramod KumaKGKiran Kumar Gurrala

Discussion

Loading...

Member takes

Overview

Observational analysis reveals improved modulation classification in GFDM systems, indicating better signal interception for 5G/6G.

Key Points

  • ANN-NFFE design enhances classification accuracy significantly at low SNR values, achieving up to 99.8%.
  • Throughput performance of the GFDM scheme reached 97.66%, indicating strong system efficacy.
  • GFDM effectively distinguishes various modulation methods under multiple wireless channel deficiencies.
  • Dispersion in optical communication GFDM systems was reduced using the proposed ANN-NFFE approach.

Cite This Study

Kuma et al. (2025) studied this question.

synapsesocial.com/papers/68d44c4631b076d99fa55acfhttps://doi.org/10.14429/dsj.20663
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Developed Polar Coded Generalized Frequency Division Multiplexing Based on Bit-Interleaved Coded Modulation2024
  2. 2BIT ERROR RATE ANALYSIS OF GFDM BASED WIRELESS COMMUNICATION SYSTEM AND SPECTRAL EFFICIENCY IMPROVEMENT USING AMC TECHNIQUE2025
  3. 3PAPR reduction using polynomial based compressing with Rapp model in GFDM2024
  4. 4Automatic Classification of 5G Waveform-Modulated Signals Using Deep Residual Networks2025 · 4 citations
  5. 5Revolutionizing 5G Networks by Harnessing GFDM With APSK Modulation for Enhanced Communication Efficiency2024