Collaborative Research: Physical Dynamics Aware Coding for Communications in Cyber Physical Systems: Analysis, Algorithms and Implementation

协作研究：网络物理系统中通信的物理动力学感知编码：分析、算法和实现

• 批准号: 1407603
• 负责人: Chih-Chun Wang
• 金额: $ 20万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1407603&HistoricalAwards=false
• 关键词: Collaborative; Research; Physical; Dynamics; Aware

In recent years, there have been substantial researches on cyber physical systems. A typical cyber physical system is composed of both physical and cyber parts. The physical part refers to the dynamics ruled by physical laws, while the cyber part (which consists of sensor(s), communication and controller(s)) observes the physical dynamics, transmits the reports, and makes control actions. Many practical applications can be considered as cyber physical systems, such as smart grids, unmanned aerial vehicles, and robotic networks. The communication part plays a key role in CPS since it conveys information from the sensor(s) to the controller(s), similarly to the nerve system of human body. When facing negative environments, source and channel coding schemes can improve the efficiency and reliability of the communication system. Traditional coding schemes are designed for pure data communications and are inefficient for controlling the physical dynamics in cyber physical systems. This project studies how to integrate the awareness of physical dynamics status into the source and channel coding procedures, which improves the performance of the operation of physical dynamics. This context awareness brings a paradigm shift to the design and analysis of cyber physical systems and benefits many future systems such as smart grids. The project is extended to education purposes, including K-12 outreach, and undergraduate/graduate level course designs. The achievements of the proposed research are disseminated to academia and industry communities.This project analyzes and develops new coding schemes in the physical layer of communication for CPS, which imposes significantly different design requirements than that of the traditional networks. In particular, the project designs the coding schemes with the awareness of the physical dynamics characteristics, instead of separated designs of communications and controls. The first task is to designs new joint/iterative channel decoding and state estimation schemes that are aware of the inherent temporal/spatial redundancies in the physical dynamics observations. It begins from simple block codes and extends the work to complicated codes with cycles. Distributed source coding at the sensors is designed, which also takes the spatial and temporal redundancies into account. In particular, the criteria of source coding (e.g., the distortion) are made aware of the objectives of controlling the physical dynamics. The proposed source and channel coding schemes are evaluated in the context of smart grid monitoring and control. Both co-simulation software and hardware testbeds are implemented for the performance evaluation.

近年来，人们对网络物理系统进行了大量的研究。一个典型的赛博物理系统由物理和赛博两部分组成。物理部分是指由物理定律支配的动态，而网络部分（由传感器，通信和控制器组成）观察物理动态，传输报告并进行控制操作。许多实际应用可以被认为是网络物理系统，例如智能电网，无人驾驶飞行器和机器人网络。通信部分在CPS中起着关键作用，因为它将信息从传感器传递到控制器，类似于人体的神经系统。在不利环境下，信源信道编码方案可以提高通信系统的效率和可靠性。传统的编码方案是为纯数据通信而设计的，并且对于控制网络物理系统中的物理动态是低效的。本项目研究如何将物理动力学状态感知融入信源和信道编码过程，提高物理动力学操作的性能。这种情境感知为网络物理系统的设计和分析带来了范式转变，并使许多未来系统（如智能电网）受益。 该项目扩展到教育目的，包括K-12推广和本科/研究生课程设计。本研究的成果将在学术界和工业界广泛传播。本项目分析并开发了CPS通信物理层的新编码方案，该方案提出了与传统网络明显不同的设计要求。特别是，该项目设计的编码方案的物理动力学特性的认识，而不是单独的设计的通信和控制。第一个任务是设计新的联合/迭代信道解码和状态估计方案，这些方案意识到物理动力学观测中固有的时间/空间冗余。它从简单的分组码开始，扩展到复杂的带圈码。在传感器上设计了分布式信源编码，同时考虑了空间和时间冗余。特别地，信源编码的标准（例如，失真）意识到控制物理动力学的目标。在智能电网监控的背景下，建议的源和信道编码方案进行评估。联合仿真软件和硬件测试平台的性能评估。

项目成果

Coded Caching With Full Heterogeneity: Exact Capacity of the Two-User/Two-File Case

• DOI: 10.1109/tit.2022.3181411
• 发表时间: 2022-11
• 期刊: IEEE Transactions on Information Theory
• 影响因子: 2.5
• 作者: Chih-Hua Chang;B. Peleato;Chih-Chun Wang