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

该项目旨在建立基本的性能限制和随后的无线通信网络的设计原则，这些网络由从环境中收集能量的设备组成。这些能量收集系统被设想为能够实现能量自给自足、能量自持、永久操作的无线网络和不受约束的移动性。因此，它们将实现新的社会，医疗，环境，监测/监视和安全应用，这些应用在传统电池供电的操作中是困难或不可能的。这些应用范围从永久远程环境监测和监视、结构监测到用于健康监测、医疗诊断和治疗的体上和体内联网。该项目识别能量可用性的随机性、不确定性和因果关系，以及接收器处发射器能量状态的不确定性，作为在确定能量收集无线通信系统的基本性能极限时要结合的新成分，并试图通过以下步骤来确定能量收集链路的信息理论容量以及伴随的最佳编码和传输方案将能量收集约束结合到信息理论容量公式中。该项目还寻求确定多用户、多跳、合作能量收集网络的信息容量，并纳入实际问题，如电池的能量存储和检索不完善，随着时间的推移能量泄漏等，严格的信息理论容量公式。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来连接估计，隐私和安全。

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.