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Practical Network Coding Technologies and Softwarization in Wireless Networks
IEEE Internet of Things Journal ( IF 10.6 ) Pub Date : 2021-02-02 , DOI: 10.1109/jiot.2021.3056580
Fumin Zhu , Chen Zhang , Zunxin Zheng , Ahmed Farouk

Network coding is an elegant and novel technique to improve network throughput and performance. It is considered as a critical technology to facilitate ever-increasing demands of future wireless networks. It exploits the broadcast nature of wireless media and cooperatively codes packets from different senders to provide reliable, secure, and efficient transmissions. Current research focuses on either transmission delay, coding complexity, forwarding security, or end-to-end throughput. Network coding-aided solutions can recover lost packets without feedback, eliminate latency, reduce the routing cost on diverse paths, or optimize the capacity of unstable wireless networks. However, devices or smart sensors usually have limited computational capacity and some applications could not tolerate high decoding delay, which prevents network coding from being widely deployed in the real world. In recent years, many research methods consider simplifying decoding matrix or coding algorithm to alleviate the shortcoming of network coding and further satisfy the extreme demands of the future wireless network. This article summarizes complexity-optimized methods and explains the interaction effect of coding opportunities and decoding overhead. We propose a taxonomy of practical network coding methods and illustrate three practical directions on cutting computational complexity and enhancing progressive decoding. We also conclude the benefit and cost of current network coding algorithms along with the outline of future research.

中文翻译:

实用的网络编码技术和无线网络中的软件化

网络编码是一种优雅而新颖的技术,可以提高网络吞吐量和性能。它被认为是满足未来无线网络不断增长的需求的一项关键技术。它利用了无线媒体的广播特性,并协同编码来自不同发送者的数据包,以提供可靠,安全和有效的传输。当前的研究集中在传输延迟,编码复杂度,转发安全性或端到端吞吐量上。网络编码辅助解决方案可以在没有反馈的情况下恢复丢失的数据包,消除等待时间,降低各种路径上的路由成本或优化不稳定的无线网络的容量。但是,设备或智能传感器通常具有有限的计算能力,并且某些应用无法忍受高解码延迟,从而阻止了网络编码在现实世界中的广泛部署。近年来,许多研究方法考虑简化解码矩阵或编码算法以减轻网络编码的缺点并进一步满足未来无线网络的极端需求。本文总结了优化复杂度的方法,并说明了编码机会和解码开销的交互作用。我们提出了一种实用的网络编码方法分类法,并举例说明了降低计算复杂度和增强渐进解码的三个实用方向。我们还总结了当前网络编码算法的优势和成本以及未来研究的要点。许多研究方法考虑简化解码矩阵或编码算法以减轻网络编码的缺点,并进一步满足未来无线网络的极端需求。本文总结了优化复杂度的方法,并说明了编码机会和解码开销的交互作用。我们提出了一种实用的网络编码方法分类法,并举例说明了降低计算复杂度和增强渐进解码的三个实用方向。我们还总结了当前网络编码算法的优势和成本以及未来研究的要点。许多研究方法考虑简化解码矩阵或编码算法以减轻网络编码的缺点,并进一步满足未来无线网络的极端需求。本文总结了优化复杂度的方法,并说明了编码机会和解码开销的交互作用。我们提出了一种实用的网络编码方法分类法,并举例说明了降低计算复杂度和增强渐进解码的三个实用方向。我们还总结了当前网络编码算法的优势和成本以及未来研究的要点。本文总结了优化复杂度的方法,并说明了编码机会和解码开销的交互作用。我们提出了一种实用的网络编码方法分类法,并举例说明了降低计算复杂度和增强渐进解码的三个实用方向。我们还总结了当前网络编码算法的优势和成本以及未来研究的要点。本文总结了优化复杂度的方法,并说明了编码机会和解码开销的交互作用。我们提出了一种实用的网络编码方法分类法,并举例说明了降低计算复杂度和增强渐进解码的三个实用方向。我们还总结了当前网络编码算法的优势和成本以及未来研究的要点。
更新日期:2021-03-26
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