Cognitive Spectrum Access for Underwater Acoustic Communications

N. Baldo, P. Casari, M. Zorzi
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引用次数: 47

Abstract

While very successful in traditional radio communications, the usage of TDMA and CSMA schemes for underwater acoustic communications is severely limited in efficiency and scalability, primarily due to the very large propagation delays. FDMA seems a viable alternative in that the propagation delay does not impact significantly its efficiency. However, in underwater communications, the capacity achievable on a particular channel depends strongly both on its frequency and on the communication distance, unlike in traditional radio transmissions where FDMA channels usually have comparable performance. Therefore, fixed channel allocation schemes traditionally used for radio FDMA do not perform well in underwater communications. In this paper, we investigate the application of the principles of cognitive radio and dynamic spectrum access to underwater communications. In particular, we propose a channel allocation scheme which exploits user location knowledge in order to maximize the minimum channel capacity among those achieved by the users. This provides maximum fairness and makes a more efficient use of the available spectrum resources. Performance evaluation carried out by means of simulation shows that our approach can achieve a great improvement in fairness among users, with respect to fixed allocation schemes, while at the same time scaling much better and thus allowing effective communications over larger distances.
水声通信的认知频谱获取
虽然在传统的无线电通信中非常成功,但TDMA和CSMA方案在水声通信中的使用在效率和可扩展性方面受到严重限制,主要是由于非常大的传播延迟。FDMA似乎是一种可行的替代方案,因为传播延迟对其效率没有显著影响。然而,在水下通信中,在特定信道上实现的容量在很大程度上取决于其频率和通信距离,这与传统无线电传输不同,在传统无线电传输中,FDMA信道通常具有相当的性能。因此,传统用于无线电FDMA的固定信道分配方案在水下通信中表现不佳。本文研究了认知无线电和动态频谱接入原理在水下通信中的应用。特别是,我们提出了一种利用用户位置知识的信道分配方案,以最大化用户所获得的最小信道容量。这样可以提供最大的公平性,并更有效地利用可用的频谱资源。通过仿真进行的性能评估表明,相对于固定分配方案,我们的方法可以大大提高用户之间的公平性,同时具有更好的可伸缩性,从而允许在更大的距离上进行有效的通信。
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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