信息时代与产品编码$\text{IoT}$系统

Wenrui Zhang, Ming Jiang, Chunming Zhao
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引用次数: 0

摘要

本文研究了一种具有短包编码的物联网场景,其中大量传感器使用产品编码通过汇聚节点向边缘服务器发送短数据包。在此场景中考虑了两个主要需求,其重点是更低的AoI和更高的可靠性(更低的数据包错误率,PER)。在以往的工作中,为了提高可靠性,通常将短报文编码为长报文,导致AoI较大。由于使用积码的联合分组编码方案可以通过两种方式进行解码,即对每一行/列分量码进行解码和对所有分量码进行联合迭代解码,因此本文考虑了一种积码分组编码方案。这两种方法都可能导致解码成功,从而在相同的PER条件下大大提高AoI性能。推导了该物联网系统中平均AoI的表达式,理论和数值结果显示了数据包长度、传感器数量与AoI性能之间的关系。此外,还讨论并说明了使AoI性能最小化的联合编码数据包的最优数量。
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Age of Information With Product Coded $\text{IoT}$ Systems
In this paper, an Internet of things(IoTs) scenario with short packet coding is studied in which a large number of sensors transmit short packets to the edge server through a sink node using a product code. Two main requirements are considered in this scenario which focuses on lower AoI and higher reliability (lower packet error rate, PER). In previous works, short packets are usually encoded into a long packet to improve reliability, which leads to large AoI. In this paper, a product coded packet scheme is considered because the joint packet encoding scheme using product code can be decoded by two ways, decoding of each row/column component code and joint iterative decoding of all component codes. Both of them may lead to a successfully decoding which greatly improves the AoI performance under the same PER conditions. The expression of the average AoI in this IoT system is derived, and the theoretical and numerical results show the relationships between packet length, the number of sensors and AoI performance. Furthermore, the optimal number of jointly-coded packets to minimize the AoI performance also are discussed and illustrated.
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