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arXiv 2608.01254cs.NI

实现水下并发随机接入的速率-并发度平衡

Achieving Rate-Concurrency Balance for Underwater Concurrent Random Access

Enqi Zhang, Yuxuan Guo, Weining Li, Linpeng Chen, Yuetong Chen, Deqing Wang, Lizhao You, Liqun Fu

AI总结:

该研究针对水下声学网络的速率-并发度权衡问题,提出结合EZCDM波形与跨层链路自适应框架的跨层并发随机接入系统,可将冲突转化为可解码流,实现BER和吞吐量增益。

AI中文摘要:

水下声学网络面临着基本的速率-并发度权衡:高速率波形(如OFDM、OTFS)专为点对点链路设计,依赖正交MAC协议(如TDMA)避免冲突,牺牲了并发度;相反,抗冲突波形(如CDMA、ZCMod)支持无协调接入,但因扩频或稀疏索引调制而存在固有限速率。我们提出了\textbf{\textbackslash system},一种跨层并发随机接入系统,它结合了两个新组件:(i)\textbf{EZCDM},一种等距ZC划分复用波形,将ZC根的多个循环移位激活为并行子信道,具有可调的速率-鲁棒性权衡,以及一种符号内差分接收机,无需显式CIR估计即可消除共享多径信道响应;(ii)\textbf{跨层链路自适应(LA)框架},具有信标帧随机接入、用户特定闭环功率控制、以及感知重叠和CIR的公共-MS选择。基于信道迹和信号迹的物理层实验结合PHY在环网络仿真表明,\textbackslash system通过将传统上破坏性的冲突转换为可解码的并发流,相较于传统波形和MAC协议实现了显著的BER和吞吐量增益。

英文摘要:

Underwater acoustic networks face a fundamental rate--concurrency tradeoff: high-rate waveforms (e.g., OFDM, OTFS) are designed for point-to-point links and rely on orthogonal MAC protocols (e.g., TDMA) to avoid collisions, sacrificing concurrency; conversely, collision-resilient waveforms (e.g., CDMA, ZCMod) support uncoordinated access but are inherently rate-limited by spreading or sparse index modulation. We present \system, a cross-layer concurrent random-access system that combines two new components: (i) \textbf{EZCDM}, an equidistant ZC division-multiplexing waveform that activates multiple cyclic shifts of a ZC root as parallel sub-channels with a tunable rate--robustness tradeoff, and an intra-symbol differential receiver that eliminates the shared multipath channel response without explicit CIR estimation; and (ii) a \textbf{cross-layer link adaptation (LA) framework} featuring beacon-framed random access, user-specific closed-loop power control, and overlap- and CIR-aware common-MS selection. Channel-trace- and signal-trace-driven physical-layer experiments combined with PHY-in-the-loop network simulations demonstrate that \system\ achieves significant BER and throughput gains over conventional waveforms and MAC protocols by converting traditionally destructive collisions into decodable concurrent streams.

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