用迁移学习降低非线性通信的失真，提升能效与频谱合规性。
Transfer Learning-Enabled Distortion Compensation for Amplitude-Phase-Time Block Modulation-Based Nonlinear Single-Carrier Wireless Communications
- 利用迁移学习实现收发端协同预处理与后处理，减少训练开销。
- 在2 dB输入回退下满足30 dBc ACLR约束，性能优于传统方法2 dB。
- 适合高能效、低延迟的无线通信系统，尤其适用于功放非线性场景。
功率放大器（PA）的非线性及记忆效应严重限制了通信系统的频谱合规性、可靠性与能效。为解决该问题，本文提出一种基于幅度-相位-时间块调制（APTBM）的非线性单载波传输中，采用迁移学习增强的全数字收发协同方法，满足邻信道泄漏比（ACLR）约束。发射端通过迭代裁剪与滤波（ICAF）和静态数字预失真（SDPD）联合抑制信号峰均比与频谱再生，无需宽带反馈。接收端利用APTBM固有的幅相约束，提供弱监督先验知识进行离线反模型预训练，并在线实现轻量级数字后失真（DPoD）网络的少样本适配。随后，级联式DPoD与裁剪噪声抵消方案系统性补偿由功率放大器和ICAF引入的残余失真。仿真与实测结果表明，在约2 dB输入回退下可实现可靠传输，且满足30 dBc ACLR约束；所提DPoD方法显著降低在线训练时间和计算开销，相比传统基于学习的DPoD方案性能提升超过2 dB。
原文摘要 · Abstract (English)
Power amplifier (PA) nonlinearity and memory effects significantly limit the spectral compliance, reliability, and energy efficiency of communication systems. To address this, we propose a transfer-learning-enabled, fully digital transceiver-cooperative method for amplitude-phase-time block modulation (APTBM)-based nonlinear single-carrier transmission under adjacent channel leakage ratio (ACLR) constraints. At the transmitter, iterative clipping and filtering (ICAF) and static digital pre-distortion (SDPD) act jointly to reduce signal peaks and suppress spectral regrowth without requiring wideband feedback. At the receiver, the inherent amplitude-phase constraints of APTBM provide weakly supervised prior knowledge for offline inverse-model pretraining, which is followed by the online few-shot adaptation of a lightweight digital post-distortion (DPoD) network. Subsequently, a cascaded DPoD and clipping-noise cancellation scheme systematically compensates for residual distortions induced by both the PA and ICAF. Simulation and measurement results demonstrate reliable transmission at an input back-off of approximately 2 dB under a 30-dBc ACLR constraint. Furthermore, the proposed DPoD approach significantly reduces online training time and computational overhead, delivering a performance gain of over 2 dB compared to conventional learning-based DPoD schemes.
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