CIF: Small: Collaborative Research: Foundations of Energy Harvesting Wireless Communications

该项目旨在为无线通信网络建立基本的性能限制和随之而来的设计原则，这些网络由使用从环境中获取的能量运行的设备组成。这些能量采集系统的设想是实现能源自给自足、能源自给、无线网络永久运行和不受限制的移动性。因此，它们将实现新的社会、医疗、环境、监测/监视和安全应用，否则这些应用在传统的电池供电操作中是困难或不可能的。该项目确定了能量可用性的随机性、间歇性和因果关系，以及接收器处发射器能量状态的不确定性，作为确定能量采集无线通信系统基本性能极限的新因素，并试图通过将能量采集约束纳入信息理论容量公式来确定能量采集链路的信息理论容量和伴随的最优编码和传输方案。该项目还试图确定多用户、多跳、合作能源收集网络的信息容量，并将实际问题纳入严格的信息论容量公式中，如电池能量存储和回收方面的缺陷、随着时间的推移能量泄漏等。此外，该项目将通过调查状态放大、状态掩蔽和安全数据传输问题，将估计、隐私和安全联系起来。

This project seeks to establish fundamental performance limits and the ensuing design principles for wireless communication networks composed of devices that operate with energy harvested from the environment. These energy harvesting systems are envisioned to enable energy self-sufficient, energy self-sustaining, perpetually operating wireless networks, and untethered mobility. As such, they will enable new societal, medical, environmental, monitoring/surveillance and safety applications which are otherwise difficult or impossible with conventional battery-powered operation. These applications range from enabling perpetual remote environmental monitoring and surveillance, structural monitoring to on and in-body networking for health monitoring, medical diagnosis and treatment.The project identifies the randomness, intermittency, and causality of energy availability, as well as the uncertainty about the energy states of the transmitters at the receivers, as new ingredients to be incorporated in determining the fundamental performance limits of energy harvesting wireless communication systems, and seeks to determine the information theoretic capacity of an energy harvesting link and the accompanying optimum coding and transmission scheme by incorporating energy harvesting constraints into the information theoretic capacity formulation. The project also seeks to identify the information capacity of multi-user, multi-hop, cooperative energy harvesting networks, as well as incorporating practical issues such as imperfections in storage and retrieval of energy to/from battery, leakage of energy over time, etc., into rigorous information theoretic capacity formulations. Furthermore, the project will make connections to estimation, privacy and security by investigating state amplification, state masking and secure data transmission problems.