用于OTFS辅助的同时声学信息与功率传输的波形设计
Waveform Design for OTFS Assisted Simultaneous Acoustic Information and Power Transfer
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中文总结 AI 辅助
研究针对动态水声信道中基于OFDM的SAIPT易受多径和多普勒效应影响问题，提出基于OTFS的SAIPT波形设计，联合设计AIT与APT符号，纳入相关特性，制定优化问题并开发SCA算法，仿真表明该设计在动态场景中性能更优，能提高声能传输效率。
中文摘要 AI 辅助
同时声学信息与功率传输（SAIPT）是一种通过并发数据传输和能量补充来支持水下物联网（IoUT）网络自我可持续发展的有前景的技术。然而，现有的基于OFDM的SAIPT研究在动态水声信道中易受严重多径传播和多普勒效应影响。本文针对动态水声信道提出一种基于正交时间频率空间（OTFS）的SAIPT波形设计。联合设计声学信息传输（AIT）和声学功率传输（APT）符号，并将换能器转换效率和非线性整流器特性纳入系统模型。基于推导的可达数据速率和直流输出表达式，在发射功率和最小数据速率约束下制定波形优化问题以最大化收集的直流输出。开发了基于逐次凸近似（SCA）的算法来解决该非凸问题。仿真结果表明，在动态传输场景中，基于OTFS的设计在直流输出方面优于基于OFDM的方案。还分析了关键系统参数的影响，证实了所提设计在提高声能传输效率方面的有效性。
英文摘要
Simultaneous acoustic information and power transfer (SAIPT) is a promising technique for supporting self-sustainable Internet of Underwater Things (IoUT) networks through concurrent data transmission and energy supplement. However, existing OFDM-based SAIPT studies are vulnerable to severe multipath propagation and Doppler effects in dynamic underwater acoustic channels. To address this issue, this paper proposes an orthogonal time frequency space (OTFS)-based SAIPT waveform design for dynamic underwater acoustic channels. The acoustic information transfer (AIT) and acoustic power transfer (APT) symbols are jointly designed, while the transducer conversion efficiencies and nonlinear rectifier characteristics are incorporated into the system model. Based on the derived achievable data rate and DC output expressions, a waveform optimization problem is formulated to maximize the harvested DC output under transmit power and minimum data-rate constraints. To solve the resulting non-convex problem, a successive convex approximation (SCA)-based algorithm is developed. Simulation results show that the proposed OTFS-based design outperforms the OFDM-based scheme in terms of DC output in the dynamic transmission scenarios. The effects of key system parameters are also analyzed, confirming the effectiveness of the proposed design in improving acoustic energy transfer efficiency.
