NeTS: Large: Collaborative Research: Practical Foundations for Networking with Many-Antenna Base Stations
NetS:大型:协作研究:多天线基站联网的实用基础
基本信息
- 批准号:1518829
- 负责人:
- 金额:$ 50万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-01 至 2021-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
To meet the exponentially growing demand in mobile data, opening up more spectrum for data services is not enough. The wireless industry and research community are desperately searching for technologies that can use spectrum more efficiently. The trend in wireless networks is reducing cell sizes combined with increasing number of antennas per device and especially, per base station. In theory, the efficiency of spectrum use increases proportionally to the number of base-station antennas; a large number of antennas promises not only a large gain in spectral efficiency but also a much simplified system. However, it remains an open question how these theoretical promises can translate into spectral efficiency gains in practice. Indeed, simply increasing the number of base-station antennas will break today's network system designs at many places, across several layers. The goal of this project is to provide the much needed practical foundations for networking with many-antenna base stations. The project will not only explore novel approaches toward scaling up the number of base-station antennas to 10s and even 100s; but also rethink the entire network architecture exploiting the emergent properties as the number of base-station antennas grows large. With emphasis on realizable network designs using the NSF CRI-funded ArgosNet testbed, the project team will work closely with our corporate partners to ensure that project outcomes impact the next-generation of wireless networks. The project will establish a unique inter-university education and research program, that will involve both undergraduate students and underrepresented populations. Toward providing the practical foundations for many-antenna MIMO networks, the project goal will be innovations in three related thrusts. (i) Scalable Control and Coordination: the project will develop scalable designs of control and coordination functions for multi-user multi-input, multi-output (MU-MIMO) networks. In particular, it will design a suite of protocols for network-wide CSI collection that significantly reduce its overhead. (ii) Scalable Resource Allocation. The project will develop novel resource allocation solutions for many- antenna MIMO networks in order to support both high data rates and low-latency requirements. It will contribute a novel scalable scheduling framework that use slow-time-scale information or statistical channel information and design scheduling policies based on MIMO rateless codes. (iii) Empirical Foundations from Measurements. The project will perform previously impossible real-time measurements of MU-MIMO channels in order to understand channel correlation, variation and reciprocity and their relationships with spectrum band, mobility, and hardware impairment. In particular, the project will derive novel models, reciprocity calibration methods, and novel channel state representations that will power research in network designs.
为了满足移动数据呈指数级增长的需求,仅仅为数据服务开放更多频谱是不够的。无线行业和研究界正在拼命寻找能够更有效地利用频谱的技术。无线网络的趋势是缩小小区尺寸,同时增加每个设备(尤其是每个基站)的天线数量。理论上,频谱使用效率与基站天线数量成正比增加;大量天线不仅可以大幅提高频谱效率,而且可以大大简化系统。然而,这些理论承诺如何转化为实践中的频谱效率增益仍然是一个悬而未决的问题。事实上,仅仅增加基站天线的数量就会在许多地方、跨多个层破坏当今的网络系统设计。该项目的目标是为多天线基站联网提供急需的实用基础。该项目不仅将探索将基站天线数量扩大到 10 个甚至 100 个的新方法;但随着基站天线数量的增加,还要重新考虑利用新兴特性的整个网络架构。项目团队重点关注使用 NSF CRI 资助的 ArgosNet 测试平台实现的网络设计,将与我们的企业合作伙伴密切合作,以确保项目成果影响下一代无线网络。该项目将建立一个独特的大学间教育和研究计划,其中包括本科生和弱势群体。为了为多天线 MIMO 网络提供实用基础,该项目的目标是在三个相关方面进行创新。 (i) 可扩展控制和协调:该项目将为多用户多输入、多输出(MU-MIMO)网络开发控制和协调功能的可扩展设计。特别是,它将设计一套用于全网络 CSI 收集的协议,以显着降低其开销。 (ii) 可扩展的资源分配。该项目将为多天线 MIMO 网络开发新颖的资源分配解决方案,以支持高数据速率和低延迟要求。它将贡献一种新颖的可扩展调度框架,该框架使用慢时间尺度信息或统计信道信息,并设计基于MIMO无率码的调度策略。 (iii) 测量的经验基础。该项目将对 MU-MIMO 信道进行以前不可能实现的实时测量,以了解信道相关性、变化和互易性及其与频谱带、移动性和硬件损伤的关系。特别是,该项目将推导出新颖的模型、互易校准方法和新颖的通道状态表示,这些将推动网络设计的研究。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ness Shroff其他文献
Ness Shroff的其他文献
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{{ truncateString('Ness Shroff', 18)}}的其他基金
Collaborative Research: NeTS: Medium: Black-box Optimization of White-box Networks: Online Learning for Autonomous Resource Management in NextG Wireless Networks
合作研究:NeTS:中:白盒网络的黑盒优化:下一代无线网络中自主资源管理的在线学习
- 批准号:
2312836 - 财政年份:2023
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Medium: Analytics and Online Optimization at Scale for Cellular Networks
合作研究:CNS 核心:中:蜂窝网络大规模分析和在线优化
- 批准号:
2106933 - 财政年份:2021
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Medium: Information Freshness in Scalable and Energy Constrained Machine to Machine Wireless Networks
合作研究:CNS 核心:中:可扩展且能量受限的机器对机器无线网络中的信息新鲜度
- 批准号:
2106932 - 财政年份:2021
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE)
未来边缘网络和分布式智能人工智能研究所 (AI-EDGE)
- 批准号:
2112471 - 财政年份:2021
- 资助金额:
$ 50万 - 项目类别:
Cooperative Agreement
CNS Core: Small: New Caching Paradigms for Distributed and Dynamic Networks
CNS 核心:小型:分布式和动态网络的新缓存范例
- 批准号:
2007231 - 财政年份:2020
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Medium: Combating Latency and Disconnectivity in mmWave Networks: From Theory to Implementation
合作研究:CNS 核心:中:对抗毫米波网络中的延迟和断开连接:从理论到实施
- 批准号:
1955535 - 财政年份:2020
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
RAPID: Acoustic Communications and Sensing for COVID-19 Data Collection
RAPID:用于 COVID-19 数据收集的声学通信和传感
- 批准号:
2028547 - 财政年份:2020
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
CNS Core: Medium: Collaborative: Exploring and Exploiting Learning for Efficient Network Control: Non-Stationarity, Inter-Dependence, and Domain-Knowledge
CNS 核心:中:协作:探索和利用学习实现高效网络控制:非平稳性、相互依赖和领域知识
- 批准号:
1901057 - 财政年份:2019
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
CSR: NeTS: Small: Theoretical Foundations for Cache Networks: Performance Models, Algorithms, and Applications
CSR:NeTS:小型:缓存网络的理论基础:性能模型、算法和应用
- 批准号:
1717060 - 财政年份:2017
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
ICN-WEN: Collaborative Research: SPLICE: Secure Predictive Low-Latency Information Centric Edge for Next Generation Wireless Networks
ICN-WEN:协作研究:SPLICE:下一代无线网络的安全预测低延迟信息中心边缘
- 批准号:
1719371 - 财政年份:2017
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
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