NeTS: JUNO: Energy-Efficient Hyper-Dense Wireless Networks with Trillions of Devices

向数以万亿计的移动设备提供高速、无处不在的无线服务需要对当今的无线蜂窝网络进行重大变革。通过小型蜂窝基站和移动设备的病毒式和大规模部署实现的超密度异质网络(HDHN)被视为这一转型的基石之一。然而，大多数现有的网络设计和优化技术在处理这类HDHN的规模、密度、可持续性和动态性方面存在不足。本项目通过创新为HDHN奠定基础，包括新颖的移动性状态估计技术、优化的小区选择和切换方法，以及在节能HDHN中自组织资源管理的新博弈论框架。建议的方法将通过在使用软件无线电和开放源码平台的实验试验台上实施来进行评估和改进。通过实现需要高性能网络连接的新型移动服务，提升无线系统的性能将产生社会影响。项目成果还将支持对密集网络的分析以及未来无线标准和产品的开发。作为一个新的日美合作项目，该项目将在设计可持续、高能效和高密度无线系统的美国和日本研究人员之间建立长期合作关系。该项目将创建新的教育和外联活动，以吸引代表人数不足的少数群体加入可持续人类发展指标领域。

Delivering high-speed, pervasive wireless services to trillions of mobile devices requires a significant transformation to today's wireless cellular networks. Hyper-dense heterogeneous networks (HDHNs), enabled via a viral and large-scale deployment of small cell base stations and mobile devices, are seen as one of the cornerstones of this transformation. However, most existing network design and optimization techniques fall short in handling the scale, density, sustainability, and dynamics of such HDHNs.This project contributes to the foundations of HDHNs via innovations that include novel mobility state estimation techniques, optimized cell selection and handover methods, and a new game-theoretic framework for self-organizing resource management in energy-efficient HDHNs. The proposed approaches will be evaluated and enhanced via implementation on an experimental testbed using software radio and open source platforms. Boosting the performance of wireless systems will have societal impacts via enablement of novel mobile services requiring high-performance network connectivity. The project results will also support the analysis of dense networks and the development of future wireless standards and products. As a new Japan-US collaboration the project will build long-term relationships between US and Japanese researchers designing sustainable, energy-efficient and dense wireless systems. The project will create new educational and outreach activities to attract under-represented minorities to the field of sustainable HDHNs.