A Crystal-less Frequency-Modulation Transmitter IC with Joint Neural-Network-Driven Modulation and Coding for Low-Power Connectivity

📋 论文概要

本文提出了一种无晶振的调频发射机IC，通过联合神经网络驱动的调制与编码技术，在低功耗条件下提升IoT上行链路的可靠性和通信距离。该设计解决了传统IoT设备因功率/能量限制导致的通信可靠性差和距离短的问题。

💡 主要创新点

• 提出无晶振架构，消除外部晶振以降低成本和功耗。
• 引入神经网络驱动的联合调制与编码方法，优化非相干调频方案的性能。
• 在低功耗约束下实现更可靠的无线通信，适用于智能家居和可穿戴健康监测等应用。

🏷 关键词

📄 原文摘要

wireless communication solutions remain critical for applications like smart-home automation and wearable health monitors. While IoT gateways can provide high-performance RF transceivers and powerful digital processors for a robust downlink, IoT devices perform under stringent power/energy constraints that often limit the reliability and range of the uplink (Fig. 26.3.1, top). In existing solutions, non-coherent frequency-modulation schemes such as BLE and LoRa have been widely adopted in IoT nodes to simplify design, reduce cost, and lower power consumption. Traditionally, such transmitters employ direct frequency modulation via a PLL [1-6] for stable carrier frequency and low phase noise (Fig. 26.3.1 mid). This simplifies the design

👥 作者与机构

Yi Shen, Boxuan Chang, Chien-Wei Tseng, Yunfan Wang, Qirui Zhang,

Zichen Fan, Zhen Feng, Rahul Narashimha, Andrea Bejarano-Carbo, Hun-Seok Kim, David Blaauw University of Michigan, Ann Arbor, MI As the Internet of Things (IoT) expands, low-power