NeTS: Small: Sustainable Wireless Communications with Optimal Utilization of Renewable Energy and Storage

NeTS：小型：可持续无线通信，优化利用可再生能源和存储

• 批准号: 1619184
• 负责人: Sujit Dey
• 金额: $ 25万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1619184&HistoricalAwards=false
• 关键词: NeTS; Small; Sustainable; Wireless; Communications

The massive increases in wireless devices and data are expected to lead to significant increases in energy consumption and carbon emissions of future wireless networks. The problem will be exacerbated by a growing number of off-grid base stations powered by diesel. This project addresses the sustainability of future wireless networks by significantly reducing the use of electricity and diesel in running wireless base stations, and thereby carbon emissions. While various techniques have been proposed to reduce power consumption of wireless networks, this project will address the challenging problem of efficient and cost-effective use of intermittent renewable power sources like solar and wind power to minimize grid/diesel power consumption while ensuring no adverse impact on user experience. Additionally, the project will demonstrate the feasibility of solar-powered small cells, significantly enhancing wireless connectivity in rural or remote areas, and enable unplanned and rapid deployments in urban areas. The resulting software and testbed will facilitate future research in renewable energy for wireless networks, and a new course on sustainable communications. The PI will work closely with University of California-San Diego Center for Wireless Communications industry members to validate the techniques developed, and facilitate adoption in their products which will lead to adoption of solar and wind energy sources to power future generations of wireless networks.The project will introduce the concept of using data storage in user devices to transfer surplus renewable power to surplus data stored, to be utilized during periods of deficit renewable power to reduce electricity/diesel, with no need for energy storage. It will be enabled by a novel dynamic base station resource allocation technique which can indirectly impact data rate. This, in turn, will affect the data stored at user devices and also the base station power consumed, depending on surplus and deficit periods, without affecting user experience. A second technique will be developed for use of an additional low capacity energy storage at the base station to further enhance utilization of the temporally varying renewable power. The technique will simultaneously decide to use project will also develop new dynamic user association and transmit power adaptation techniques making use of spatial variations in renewable power between neighboring base stations to minimize total grid electricity/diesel consumed for heterogeneous networks, including showing feasibility of solar-only powered small cells. A simulation framework and testbed will be developed to demonstrate the effectiveness of the approaches.

无线设备和数据的大量增加预计将导致未来无线网络的能耗和碳排放的显著增加。越来越多的离网柴油基站将加剧这一问题。该项目通过显著减少运行无线基站的电力和柴油的使用，从而减少碳排放，解决了未来无线网络的可持续性问题。虽然已经提出了各种技术来降低无线网络的功耗，但该项目将解决高效和具有成本效益地使用间歇性可再生能源（如太阳能和风能）的挑战性问题，以最大限度地减少电网/柴油机的功耗，同时确保不会对用户体验产生不利影响。此外，该项目还将展示太阳能小型基站的可行性，显著增强农村或偏远地区的无线连接，并实现城市地区的计划外快速部署。由此产生的软件和测试平台将促进未来无线网络可再生能源的研究，以及可持续通信的新课程。PI将与加州大学圣地亚哥分校无线通信中心的行业成员密切合作，验证所开发的技术，并促进其产品的采用，这将导致采用太阳能和风能为未来几代无线网络供电。该项目将引入使用用户设备中的数据存储的概念，将剩余的可再生能源转移到存储的剩余数据，在可再生能源短缺期间使用，以减少电力/柴油，无需储能。它将通过一种新的动态基站资源分配技术来实现，该技术可以间接影响数据速率。这反过来将影响存储在用户设备上的数据以及基站功耗，这取决于盈余和赤字时段，而不会影响用户体验。第二种技术将被开发用于在基站处使用附加的低容量能量存储，以进一步增强对随时间变化的可再生功率的利用。该技术将同时决定使用项目还将开发新的动态用户关联和传输功率自适应技术，利用相邻基站之间可再生能源的空间变化，最大限度地减少异构网络的总电网电力/柴油消耗，包括显示仅太阳能供电的小型小区的可行性。将开发一个模拟框架和测试平台，以证明这些方法的有效性。