Enabling green wireless communications: an environmentally conscious approach

随着无线通信产业在过去三十年中的爆炸式增长，无线系统和网络正具有越来越显著的生态影响。无线通信设备的能耗正以惊人的速度增长。广泛使用的无线发射器对环境产生越来越多的电磁（EM）污染。在努力满足对无处不在的无线连接的持续增长的需求的同时，当前和未来的无线系统必须变得更加环保。拟议的研究计划的长期目标是开发有效的使能技术的绿色无线通信。这些技术将有助于未来的无线系统以最低的能耗和最少的电磁辐射提供高质量的服务。由于无线传输对环境的影响，即电磁辐射，在协调不同的设计目的方面扮演重要角色，我们会采用独特的环保方法，设计和分析下一代无线传输技术。具体而言，在开发高频谱效率的传输方案时，将考虑EM污染和干扰对环境的负面影响。该研究计划包括三个主题：（1）在考虑环境影响的情况下，为无线系统分析开发有效的性能指标;（2）分析和设计高效的多天线传输方案，以探索大规模天线系统的吞吐量增强/节能潜力; III）开发高度敏捷的认知无线系统，以利用空间/具有最小附加开销和最小或没有能耗增加的时间频谱机会。该研究计划的成功完成将为不同的应用场景产生几种新颖有效的传输方案。这些传输方案连同它们的性能和效率量化将显著地推进朝向绿色和可持续无线范例的技术演进。

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.