Enabling green wireless communications: an environmentally conscious approach

在过去的三十年里，随着无线通信行业的爆炸式增长，无线系统和网络对生态的影响越来越大。无线通信设备的能耗正以惊人的速度增长。无线发射机的广泛使用对环境造成了越来越多的电磁污染。在努力满足不断增长的无处不在的无线连接需求的同时，当前和未来的无线系统必须变得更加环保。该研究计划的长期目标是开发绿色无线通信的有效使能技术。这些技术将帮助未来的无线系统以最小的能耗和尽可能少的电磁辐射提供高质量的服务。鉴于无线传输的环境影响，即电磁辐射，在协调不同相互竞争的设计目标方面起着至关重要的作用，我们将采用一种独特的环保方法来设计和分析下一代无线传输技术。具体来说，在开发高频谱效率传输方案时，将考虑电磁污染和干扰对环境的负面影响。提出的研究计划遵循三个主题：1)开发考虑环境影响的无线系统分析的有效性能指标；II)分析和设计高效的多天线传输方案，探索大规模天线系统的全吞吐量增强/节能潜力；III)开发高度敏捷的认知无线系统，以最小的额外开销和最小或不增加能源消耗来利用空间/时间频谱机会。该研究计划的成功完成将导致针对不同应用场景的几种新颖高效的传输方案的产生。这些传输方案及其性能和效率量化将显著推动技术向绿色和可持续的无线范式发展。

With the explosive growth of the wireless communication industry over the past three decades, wireless systems and networks are having an increasingly significant ecological impact. Energy consumption of wireless communication devices is growing at a staggering rate. Widespread wireless transmitters are generating more and more electromagnetic (EM) pollution to the environment. While striving to meet the continuously growing demand for ubiquitous wireless connectivity, current and future wireless systems must become more environmentally friendly. The long-term goal of the proposed research program is to develop effective enabling techniques for green wireless communications. These techniques will help future wireless systems deliver high quality services with minimum energy consumption and the least possible EM emission. Noting that the environmental impact of wireless transmission, i.e. EM emission, plays an essential role in harmonizing different competing design objectives, we will adopt a unique environmentally conscious approach for the design and analysis of next generation wireless transmission techniques. Specifically, the negative environmental impact of EM pollution and interference will be taken into account in the development of highly spectral efficient transmission schemes. The proposed research program follows three themes: I) develop effective performance metrics for wireless system analysis with consideration of environmental impact; II) analyze and design efficient multi-antenna transmission schemes to explore full throughput enhancement/energy saving potential of large-scale antenna systems; III) develop highly agile cognitive wireless systems to exploit spatial/temporal spectrum opportunities with minimal additional overhead and minimal or no energy consumption increase. The successful completion of the proposed research program will result in the production of several novel and efficient transmission schemes for different application scenarios. These transmission schemes together with their performance and efficiency quantification will significantly advance the technology evolution toward a green and sustainable wireless paradigm.