Integrating FTN-GFDMA With A-RoF: A Proof-of-Concept for eRAC Applications

This paper presents the integration of FTN-GFDMA into an A-RoF system for eRAC scenarios. A baseband-equivalent model incorporating MZM nonlinearities is developed, and a machine-learning-based DPD scheme is employed to mitigate electro-optical distortions. The study discusses the benefits and challenges of combining FTN-GFDMA with A-RoF, including spectral efficiency gains, out-of-band emission reduction, high PAPR, and self-interference. Results show that the proposed DPD significantly improves BER performance, enabling the FTN-GFDMA A-RoF system to achieve BER performance close to the theoretical AWGN bound