Massive random access has gained attention as a potential solution for IoT networks due to the throughput comparable to orthogonal multiple access and significantly lower signaling overhead. In this article, we introduce the design of modern random access-based IoT networks, focusing on enhancing the timeliness and fidelity of the status update information. We first elaborate on the age of information (AoI) and the mean square error (MSE), which are used to assess information timeliness and information fidelity, respectively. Then, the multi-node sensing task model and the information quality objective function are established sequentially. In particular, the model involves the whole process of observation sampling, source coding, channel coding, random access, and information aggregation. The objective function is derived as a weighted sum of AoI and MSE. To achieve a tradeoff between information timeliness and information fidelity, we optimize key parameters such as quantization precision, the number of configured nodes, sampling frequency, and channel coding rate to minimize the objective function. Some future challenges are also presented.

中文翻译：

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现代基于随机访问的物联网网络设计：从及时性保真度的角度来看


由于吞吐量与正交多址相当并且信令开销显着降低，大规模随机接入作为物联网网络的潜在解决方案而受到关注。在本文中，我们介绍了基于现代随机访问的物联网网络的设计，重点是增强状态更新信息的及时性和保真度。我们首先详细阐述信息年龄（AoI）和均方误差（MSE），分别用于评估信息及时性和信息保真度。然后，依次建立多节点感知任务模型和信息质量目标函数。具体来说，该模型涉及观测采样、信源编码、信道编码、随机接入和信息聚合的整个过程。目标函数是 AoI 和 MSE 的加权和。为了实现信息及时性和信息保真度之间的权衡，我们优化了量化精度、配置节点数量、采样频率和信道编码率等关键参数，以最小化目标函数。还提出了一些未来的挑战。