CCSS: Collaborative Research: Smart-Grid Powered Green Communications in Heterogeneous Networks
CCSS:协作研究:异构网络中智能电网驱动的绿色通信
基本信息
- 批准号:1508993
- 负责人:
- 金额:$ 20.4万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-07-01 至 2020-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Both the current wireless communication networks and the electricity grid infrastructure are on the verge of a major paradigm shift. The traditional cellular architecture is evolving into heterogeneous networks (HetNets) consisting of densely deployed macro/micro/pico-cell base stations (BSs). In such HetNets, coordinated transmissions are advocated to perform energy-efficient green communications. At the same time, the current power network infrastructure is also migrating toward a so-termed smart grid that promises unprecedented levels of monitorability and controllability. It is expected that all future communication systems will be powered by a smart grid. Integration of smart-grid technologies into system designs then holds the key to fully exploiting the potential of green communications in next-generation HetNets. This highlights the clear need for fundamental understanding and systematic exploration of smart-grid powered green communications in HetNet deployments.To this end, the present project is centered on transformative analytical and algorithmic tools for smart-grid powered green communications. The vision is to establish a comprehensive framework based on state-of-the-art optimization approaches to jointly design green HetNets along with critically relevant smart grid operations. By cross-fertilizing ideas between these two fields, the ultimate goal is to set forth a unified treatment for modeling, analyzing, and designing resource management schemes for smart-grid powered HetNets. The engineering outcome of the proposed research is a suite of protocols for distributed, real-time implementation of basestation activation, coordinated beamforming in HetNets, as well as renewable energy harvesting and storage, demand response, and unit commitment operations for smart grids. Creating energy-efficient, distributed, real-time algorithms will greatly enhance the performance of emerging wireless cellular networks while reducing carbon emissions and enhancing the green communication solution to climate change and global warming. This project also addresses the broader impacts of improving undergraduate STEM education, increasing participation of under-represented minorities, and promoting a scientifically literate public.
当前的无线通信网络和电网基础设施都处于重大范式转移的边缘。传统的蜂窝结构正在发展为由密集部署的宏观/微型/Pico细胞基站(BSS)组成的异质网络(HETNET)。在此类HETNET中,提倡协调的传输进行节能绿色通信。同时,当前的电力网络基础架构也朝着所谓的智能电网迁移,该网格承诺可监视性和可控性级别。预计所有未来的通信系统都将由智能电网提供动力。然后将智能网格技术集成到系统设计中,这是完全利用下一代Hetnets中绿色通信潜力的关键。这凸显了对Hetnet部署中智能网格动力绿色通信的基本理解和系统探索的明确需求。为此,目前的项目集中在用于智能网格动力绿色通信的变革性分析和算法工具上。愿景是建立一个基于最先进的优化方法,共同设计绿色hetnets以及至关重要的智能电网操作。通过在这两个领域之间进行跨批准,最终目标是为智能网格动力HETNETS制定统一的统一处理,用于建模,分析和设计资源管理方案。拟议的研究的工程结果是一套用于分布式,实时实施基础激活的协议,在HETNET中进行了协调的边界以及可再生能源收获和存储,需求响应,需求响应以及单位承诺操作,以操作智能电网。创建节能,分布式的实时算法将大大提高新兴的无线蜂窝网络的性能,同时减少碳排放,并增强绿色通信解决方案,以使气候变化和全球变暖。该项目还解决了改善本科STEM教育,增加代表性少数群体的参与以及促进科学识字公众的更广泛影响。
项目成果
期刊论文数量(57)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Learning Graph Processes with Multiple Dynamical Models
- DOI:10.1109/ieeeconf44664.2019.9048993
- 发表时间:2019-11
- 期刊:
- 影响因子:0
- 作者:Qin Lu;V. Ioannidis;G. Giannakis;M. Coutiño
- 通讯作者:Qin Lu;V. Ioannidis;G. Giannakis;M. Coutiño
Bandit Online Learning with Unknown Delays
- DOI:
- 发表时间:2018-07
- 期刊:
- 影响因子:0
- 作者:Bingcong Li;Tianyi Chen;G. Giannakis
- 通讯作者:Bingcong Li;Tianyi Chen;G. Giannakis
Bandit Convex Optimization for Scalable and Dynamic IoT Management
- DOI:10.1109/jiot.2018.2839563
- 发表时间:2017-07
- 期刊:
- 影响因子:10.6
- 作者:Tianyi Chen;G. Giannakis
- 通讯作者:Tianyi Chen;G. Giannakis
Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables
可再生能源集成多点通信系统的两尺度随机控制
- DOI:10.1109/tsg.2016.2601073
- 发表时间:2018-05
- 期刊:
- 影响因子:9.6
- 作者:Xin Wang;Xiaojing Chen;Tianyi Chen;Longbo Huang;Georgios B. Giannakis
- 通讯作者:Georgios B. Giannakis
Real-Time Energy Management in Microgrids With Reduced Battery Capacity Requirements
微电网中的实时能源管理,降低电池容量要求
- DOI:10.1109/tsg.2017.2783894
- 发表时间:2019-03
- 期刊:
- 影响因子:9.6
- 作者:Bingcong Li;Tianyi Chen;Xin Wang;Georgios B. Giannakis
- 通讯作者:Georgios B. Giannakis
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Georgios Giannakis的其他基金
Collaborative Research: ECCS-CCSS Core: Resonant-Beam based Optical-Wireless Communication
合作研究:ECCS-CCSS核心:基于谐振光束的光无线通信
- 批准号:23321732332173
- 财政年份:2024
- 资助金额:$ 20.4万$ 20.4万
- 项目类别:Standard GrantStandard Grant
Collaborative Research: CIF: Medium: Robust Learning over Graphs
协作研究:CIF:媒介:图上的鲁棒学习
- 批准号:23125472312547
- 财政年份:2023
- 资助金额:$ 20.4万$ 20.4万
- 项目类别:Continuing GrantContinuing Grant
IMR: MM-1C: Learning-driven Models for 5G Internet Measurements
IMR:MM-1C:5G 互联网测量的学习驱动模型
- 批准号:22202922220292
- 财政年份:2022
- 资助金额:$ 20.4万$ 20.4万
- 项目类别:Standard GrantStandard Grant
Collaborative Research: SWIFT: Cognitive-IoV with Simultaneous Sensing and Communications via Dynamic RF Front End
合作研究:SWIFT:通过动态射频前端实现同步传感和通信的认知车联网
- 批准号:21285932128593
- 财政年份:2021
- 资助金额:$ 20.4万$ 20.4万
- 项目类别:Standard GrantStandard Grant
CCSS: Online Learning for IoT Monitoring and Management
CCSS:物联网监控和管理在线学习
- 批准号:21260522126052
- 财政年份:2021
- 资助金额:$ 20.4万$ 20.4万
- 项目类别:Standard GrantStandard Grant
Hybrid mmWave mMIMO Transceiver Design for Doubly-Selective Channels
适用于双选通道的混合毫米波 mMIMO 收发器设计
- 批准号:21023122102312
- 财政年份:2020
- 资助金额:$ 20.4万$ 20.4万
- 项目类别:Standard GrantStandard Grant
CPS: Medium: Collaborative Research: Collective Intelligence for Proactive Autonomous Driving (CI-PAD)
CPS:中:协作研究:主动自动驾驶集体智慧 (CI-PAD)
- 批准号:21032562103256
- 财政年份:2020
- 资助金额:$ 20.4万$ 20.4万
- 项目类别:Standard GrantStandard Grant
CIF: Medium: Adaptive Diffusions for Scalable and Robust Learning over Graphs
CIF:中:用于图上可扩展和鲁棒学习的自适应扩散
- 批准号:19011341901134
- 财政年份:2019
- 资助金额:$ 20.4万$ 20.4万
- 项目类别:Standard GrantStandard Grant
CCSS: Collaborative Research: Learn-and-Adapt to Manage Dynamic Cyber-Physical Networks
CCSS:协作研究:学习和适应管理动态信息物理网络
- 批准号:17114711711471
- 财政年份:2017
- 资助金额:$ 20.4万$ 20.4万
- 项目类别:Standard GrantStandard Grant
EAGER-DynamicData: Judicious Censoring, Random Sketching, and Efficient Validate for Learning Patterns from Dynamically-Changing and Large-Scale Data Sets
EAGER-DynamicData:明智的审查、随机草图和高效验证,用于从动态变化的大规模数据集中学习模式
- 批准号:15007131500713
- 财政年份:2015
- 资助金额:$ 20.4万$ 20.4万
- 项目类别:Standard GrantStandard Grant
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相似海外基金
Collaborative Research: ECCS-CCSS Core: Resonant-Beam based Optical-Wireless Communication
合作研究:ECCS-CCSS核心:基于谐振光束的光无线通信
- 批准号:23321722332172
- 财政年份:2024
- 资助金额:$ 20.4万$ 20.4万
- 项目类别:Standard GrantStandard Grant
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合作研究:ECCS-CCSS核心:基于谐振光束的光无线通信
- 批准号:23321732332173
- 财政年份:2024
- 资助金额:$ 20.4万$ 20.4万
- 项目类别:Standard GrantStandard Grant
Collaborative Research: CCSS: Continuous Facial Sensing and 3D Reconstruction via Single-ear Wearable Biosensors
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- 批准号:24014152401415
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- 批准号:23197802319780
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