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Instantly Decodable Network Coding: From Centralized to Device-to-Device Communications

机译:即时可解码的网络编码:从集中式通信到设备到设备的通信

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摘要

From its introduction to its quindecennial, network coding has built a strong reputation for enhancing packet recovery and achieving maximum information flow in both wired and wireless networks. Traditional studies focused on optimizing the throughput of the system by proposing elaborate schemes able to reach the network capacity. With the shift toward distributed computing on mobile devices, performance and complexity become both critical factors that affect the efficiency of a coding strategy. Instantly decodable network coding presents itself as a new paradigm in network coding that trades off these two aspects. This paper review instantly decodable network coding schemes by identifying, categorizing, and evaluating various algorithms proposed in the literature. The first part of the manuscript investigates the conventional centralized systems, in which all decisions are carried out by a central unit, e.g., a base-station. In particular, two successful approaches known as the strict and generalized instantly decodable network are compared in terms of reliability, performance, complexity, and packet selection methodology. The second part considers the use of instantly decodable codes in a device-to-device communication network, in which devices speed up the recovery of the missing packets by exchanging network coded packets. Although the performance improvements are directly proportional to the computational complexity increases, numerous successful schemes from both the performance and complexity viewpoints are identified.
机译:从推出到五年,网络编码在增强数据包恢复和实现有线和无线网络中的最大信息流方面已经建立了良好的声誉。传统研究集中在通过提出能够达到网络容量的精心设计的方案来优化系统的吞吐量。随着向移动设备上的分布式计算的转变,性能和复杂性成为影响编码策略效率的两个关键因素。即时可解码的网络编码将自己呈现为网络编码的新范例,在这两个方面之间进行权衡。本文通过对文献中提出的各种算法进行识别,分类和评估,回顾了可立即解码的网络编码方案。该手稿的第一部分研究了常规的集中式系统,其中所有决策均由中央单元(例如基站)执行。特别是,在可靠性,性能,复杂性和数据包选择方法方面,比较了两种成功的方法,即严格和通用的即时可解码网络。第二部分考虑了设备间通信网络中即时可解码代码的使用,其中设备通过交换网络编码数据包来加快丢失数据包的恢复速度。尽管性能的提高与计算复杂性的增加成正比,但是从性能和复杂性的角度来看,都可以找到许多成功的方案。

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