Ensemble learning aided large communication model for multi-scenario nonlinear distortion

• Main Authors: Xie, Yihang, Liu, Xiaobei, Su, Zhengyang, Teh, Kah Chan, Guan, Yong Liang, Yang, Chaosan
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2025
• Subjects: Engineering; Nonlinear distortion; Orthogonal frequency-division multiplexing; Ensemble learning; Large communication model
• Online Access: https://hdl.handle.net/10356/182828
• Institution: Nanyang Technological University

In this paper, we propose the Large Communication Model (LCM), a deep neural network receiver designed specifically for orthogonal frequency-division multiplexing (OFDM) systems. Inspired by the Mixture of Experts (MoE) model, LCM incorporates ensemble learning within the Comm-Trans Net framework to...