Joint Spectrum Sensing and Resource Allocation for OFDMA-Based Underwater Acoustic Communications

IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS
Minwoo Kim;Youngchol Choi;Yeongjun Kim;Eojin Seo;Hyun Jong Yang
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引用次数: 0

Abstract

Underwater acoustic (UWA) communications generally rely on cognitive radio (CR)-based ad-hoc networks due to challenges such as long propagation delay, limited channel resources, and high attenuation. To address the constraints of limited frequency resources, UWA communications have recently incorporated orthogonal frequency division multiple access (OFDMA), significantly enhancing spectral efficiency (SE) through multiplexing gains. Still, the low propagation speed of UWA signals, combined with the dynamic underwater environment, creates asynchrony in multiple access scenarios. This causes inaccurate spectrum sensing as inter-carrier interference (ICI) increases, which leads to difficulties in resource allocation. As efficient resource allocation is essential for achieving high-quality communication in OFDMA-based CR networks, these challenges degrade communication reliability in UWA systems. To resolve the issue, we propose an end-to-end sensing and resource optimization method using deep reinforcement learning (DRL) in an OFDMA-based UWA-CR network. Through extensive simulations, we confirm that the proposed method is superior to baseline schemes, outperforming other methods by 42.9 % in SE and 4.4 % in communication success rate.
基于ofdma的水声通信联合频谱感知与资源分配
由于存在传播延迟长、信道资源有限和高衰减等问题,水声通信通常依赖于基于认知无线电(CR)的自组织网络。为了解决有限频率资源的限制,UWA通信最近加入了正交频分多址(OFDMA),通过复用增益显着提高了频谱效率(SE)。尽管如此,UWA信号的低传播速度,再加上动态的水下环境,在多址场景中造成了异步。随着载波间干扰(ICI)的增加,导致频谱感知不准确,从而导致资源分配困难。在基于ofdma的CR网络中,有效的资源分配是实现高质量通信的关键,这些挑战降低了UWA系统的通信可靠性。为了解决这个问题,我们提出了一种在基于ofdma的UWA-CR网络中使用深度强化学习(DRL)的端到端感知和资源优化方法。通过大量的仿真,我们证实了该方法优于基准方案,在SE和通信成功率方面分别比其他方法高出42.9%和4.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Communications Letters
IEEE Communications Letters 工程技术-电信学
CiteScore
8.10
自引率
7.30%
发文量
590
审稿时长
2.8 months
期刊介绍: The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.
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