Achieving Rate-Concurrency Balance for Underwater Concurrent Random Access

📅 2026-08-02
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work addresses the inherent trade-off between high data rates and high concurrency in underwater acoustic networks, a challenge inadequately resolved by conventional approaches. The authors propose a cross-layer concurrent random access system that innovatively integrates equispaced Zadoff–Chu code-division multiplexing (EZCDM) waveforms with a cross-layer link adaptation mechanism, transforming destructive collisions into decodable concurrent signal streams. The design employs intra-symbol differential reception, beacon-based random access, user-level closed-loop power control, and overlap-aware common modulation set selection, enabling robust communication without explicit channel estimation. Experimental and simulation results demonstrate that the proposed scheme significantly outperforms existing physical-layer waveforms and MAC protocols in terms of both bit error rate and throughput, effectively achieving a flexible balance between spectral efficiency and reliability.
📝 Abstract
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.
Problem

Research questions and friction points this paper is trying to address.

underwater acoustic networks
rate-concurrency tradeoff
concurrent random access
waveform design
MAC protocols
Innovation

Methods, ideas, or system contributions that make the work stand out.

EZCDM
cross-layer link adaptation
concurrent random access
ZC division-multiplexing
collision resilience
E
Enqi Zhang
School of Informatics, Xiamen University, Xiamen, China
Y
Yuxuan Guo
School of Informatics, Xiamen University, Xiamen, China
W
Weining Li
School of Informatics, Xiamen University, Xiamen, China
L
Linpeng Chen
School of Informatics, Xiamen University, Xiamen, China
Y
Yuetong Chen
School of Informatics, Xiamen University, Xiamen, China
D
Deqing Wang
School of Informatics, Xiamen University, Xiamen, China
Lizhao You
Lizhao You
School of Informatics, Xiamen University
Wireless NetworksComputer Networks
Liqun Fu
Liqun Fu
Full Professor, Xiamen University
wireless communication networks