Reliable Broadcast with Joint Forward Error Correction and Erasure Codes in Wireless Communication Networks

P. Ostovari, Jie Wu
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引用次数: 6

Abstract

One of the main challenges in wireless networks is addressing the unreliability of the wireless links, and providing reliable transmissions. Two important sources of errors in wireless transmissions are noise and interference. In order to address the errors due to noise, forward error correction methods can be used, in which redundancy is added to the packets to detect and correct the bit errors. However, when the environment is too noisy, or there is interference among the transmissions, the forward error correction codes might not be able to correct the bit errors, resulting in packet erasures. In this case, application layer erasure codes, such as network coding, are useful. In this paper, we consider a wireless network which faces both random bit errors and packet erasures. In order to provide reliable transmissions, we benefit from joint forward error correction and erasure codes, and formulate the successful transmission probability. We also propose a low-complexity method to find the optimal redundancy that should be assign to the forward error correction and erasure code. Our method consists of two phases: offline and online phases. In the offline phase, we generate a reference table, which shows the successful delivery of the packets for each possible transmission strategy. The source node uses this reference table in the second phase to find the optimal strategy depending on the noise and interference level. We show the effectiveness of our proposed method through extensive simulations.
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无线通信网络中联合前向纠错和Erasure码的可靠广播
无线网络的主要挑战之一是解决无线链路的不可靠性,并提供可靠的传输。在无线传输中产生误差的两个重要来源是噪声和干扰。为了解决由噪声引起的错误,可以使用前向纠错方法,在数据包中添加冗余来检测和纠正比特错误。但是,当环境过于嘈杂,或者传输之间存在干扰时,前向纠错码可能无法纠正比特错误,导致数据包擦除。在这种情况下,应用层的擦除码,如网络编码,是有用的。在本文中,我们考虑了一个同时面临随机比特错误和数据包擦除的无线网络。为了提供可靠的传输,我们采用联合前向纠错和擦除码,并制定了成功传输的概率。我们还提出了一种低复杂度的方法来寻找分配给前向纠错和纠删码的最优冗余。我们的方法包括两个阶段:离线和在线阶段。在脱机阶段,我们生成一个参考表,其中显示了每个可能的传输策略的数据包的成功交付。源节点在第二阶段使用该参考表,根据噪声和干扰水平找到最优策略。通过大量的仿真,证明了所提方法的有效性。
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