CIF:Small: Collaborative Research: Minimum Energy Communications in Wireless Networks

CIF:Small：合作研究：无线网络中的最低能量通信

• 批准号: 1017829
• 负责人: Zixiang Xiong
• 金额: $ 21.84万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1017829&HistoricalAwards=false
• 关键词: CIF; Small; Collaborative; Research; Minimum

This project aims to answer a fundamental question in wireless networking: what is the energy needed to transmit one bit of information over a wireless network? And the related question: how can practical networks be designed to come close to this limit? The motivation is to save energy. It is evident that there is a strong current interest in energy conservation. Currently it is estimated that consumer electronics account for 11% of total residential electricity consumption in the US. While this is not all used on communications, as most devices have wireless capability, wireless communications could account for a significant part of this energy consumption. Clearly, if this energy consumption can be cut in half, the saving is significant. In fact, preliminary results show that by optimizing the signaling, energy consumption in wireless communications can be reduced much more than 50%.As is well known, there are few networks where the exact Shannon capacity has been found. The research therefore approaches the theoretical part of this problem in different ways. For some networks, the minimum energy per bit can be found even if the exact capacity cannot be found. When the exact minimum energy per bit cannot be found, approximations to the minimum energy per bit are sought in the form of a figure within a certain number of dB that is universal over a certain class of networks. A key part of the research will be to look at networks with correlated information and distortion. Joint source-channel coding can reduce the energy consumption beyond what a separate approach can provide. The theoretical approach will be combined with practical coding methods.

该项目旨在回答无线网络中的一个基本问题：通过无线网络传输一位信息需要多少能量？相关问题是：实际网络如何设计才能接近这个极限？动机是为了节省能源。显然，当前人们对节能有着浓厚的兴趣。目前估计消费电子产品占美国居民总用电量的11%。虽然这并不全部用于通信，但由于大多数设备都具有无线功能，因此无线通信可能占能源消耗的很大一部分。显然，如果这种能源消耗能够减少一半，那么节省的费用是巨大的。事实上，初步结果表明，通过优化信令，无线通信的能耗可以降低50%以上。众所周知，很少有网络能够找到确切的香农容量。因此，本研究以不同的方式处理这个问题的理论部分。对于某些网络，即使无法找到确切的容量，也可以找到每比特的最小能量。当无法找到准确的每比特最小能量时，将以某一类网络通用的特定 dB 数内的数字形式寻求每比特最小能量的近似值。该研究的一个关键部分是研究具有相关信息和失真的网络。联合源信道编码可以减少比单独方法所能提供的能量消耗。理论方法将与实际编码方法相结合。