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

向数万亿移动设备提供高速、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改造。通过大规模部署小型蜂窝基站和移动设备而实现的高密度异构网络（HDHNs）被视为这一转变的基石之一。然而，大多数现有的网络设计和优化技术在处理此类hdhn的规模、密度、可持续性和动态方面都存在不足。该项目通过创新，包括新的移动状态估计技术、优化的小区选择和切换方法，以及节能HDHNs中自组织资源管理的新博弈论框架，为HDHNs奠定了基础。提议的方法将通过使用软件无线电和开源平台在实验测试平台上实施来评估和增强。通过实现需要高性能网络连接的新型移动服务，提高无线系统的性能将对社会产生影响。该项目的成果还将支持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，该项目将在美国和日本研究人员之间建立长期合作关系，设计可持续、节能和密集的无线系统。该项目将开展新的教育和外联活动，以吸引代表性不足的少数群体参与可持续的人类健康发展领域。

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.