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

这个项目旨在回答无线网络中的一个基本问题：在无线网络中传输一个比特的信息需要多少能量？相关的问题是：如何设计实用的网络来接近这个极限？这样做的动机是为了节约能源。很明显，目前人们对节约能源有强烈的兴趣。目前，据估计，消费电子产品占美国住宅总用电量的11%。虽然这并非全部用于通信，因为大多数设备都具有无线功能，但无线通信可能占这种能源消耗的很大一部分。显然，如果这种能源消耗可以减少一半，那么节省的能源将是巨大的。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，很少有网络具有完全相同的香农容量。因此，研究从不同的角度探讨了这一问题的理论部分。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。当精确的每比特最小能量不能被发现时，每比特最小能量的近似值以一定dB范围内的数字形式寻求，这在某一类网络中是通用的。研究的一个关键部分将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能量消耗，远远超过单独的方法所能提供的。理论方法将与实际编码方法相结合。

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.