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Stochastic Network Calculus for various Fading techniques in Underwater Wireless Communication

机译:水下无线通信中各种衰落技术的随机网络演算

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摘要

Acoustics Communication finds numerous applications and growing in popularity, complexity and capabilities. Acoustic waves propagation plays important role for effective Underwater Wireless Communication. Underwater acoustic signals used for communications are prone to fading. Unlike radio waves, acoustic waves experience several losses like; signal loss, fading, path loss, and Doppler spread in water. To model any communication medium, mathematical tools play a vital role. Real-time underwater wireless network applications require good Quality-of-Service guarantees such as low packet delay and small backlog. Modern communication networks are growing rapidly and measuring its QoS needs a specialized analytical tools. To overcome these, Stochastic Network Calculus (SNC) has given rise to the optimism that it can emerge as an elegant mathematical modelling tool for assessing current network performance especially for use in underwater communication. While SNC is a relatively new theory, it is gaining increasing interest and popularity and researchers have also started applying SNC to performance analysis of various systems. In this work, we have developed an underwater acoustic wireless channel subjected to different fading techniques such as; Rayleigh, Rician, Nakagami, Weibull, AWGN, Gilbert-Elliot. In this work, we have derived stochastic service guarantees for delay requirements, violation probabilities, delay bound and traffic burstiness in the acoustic Physical channel. Using this model we have also derived the stochastic performance for delay and backlog bounds.
机译:声学通信发现了许多应用,并且越来越流行,复杂且功能强大。声波传播对于有效的水下无线通信起着重要作用。用于通信的水下声信号易于衰减。与无线电波不同,声波会经历多种损耗,例如:信号损耗,衰落,路径损耗和多普勒扩散在水中。为了对任何通信媒介建模,数学工具起着至关重要的作用。实时水下无线网络应用需要良好的服务质量保证,例如低数据包延迟和少量积压。现代通信网络正在迅速发展,并且测量其QoS需要专门的分析工具。为了克服这些问题,随机网络演算(SNC)引起了人们的乐观,认为它可以作为一种优雅的数学建模工具来评估当前的网络性能,尤其是用于水下通信。尽管SNC是一个相对较新的理论,但它越来越受到人们的关注和欢迎,研究人员也已开始将SNC应用于各种系统的性能分析。在这项工作中,我们开发了一种水下声无线信道,该信道受到了诸如Rayleigh,Rician,Nakagami,Weibull,AWGN,Gilbert-Elliot。在这项工作中,我们获得了针对声学物理信道中的延迟要求,违规概率,延迟范围和业务突发性的随机服务保证。使用该模型,我们还得出了延迟和积压范围的随机性能。

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