Collaborative Research: SWIFT: Small: Cross-Layer Interference Management: Bringing Interference Alignment to Reality
合作研究:SWIFT:小型:跨层干扰管理:将干扰调整变为现实
基本信息
- 批准号:2030245
- 负责人:
- 金额:$ 24.98万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-10-01 至 2024-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The demand for wireless data traffic along with the scale of users grows exponentially, while the current approach to meet such scaling is to avoid interference. Unfortunately, interference avoidance techniques cannot accommodate these scaling needs. To support large-scale deployments, there is a need to enable multiple users to share the same spectrum. In other words, the interference must be mitigated and exploited rather than avoided. However, prior theoretical efforts have resulted in minimal gains in practice. This project bridges the gap between theory and practice. The PIs will jointly design and develop antennas and algorithms in PHY and MAC layers potentially enabling orders of magnitude more spectrum-efficient communications. The designed solutions would enable connectivity to all classes of devices, autonomous driving, health-care, and IoT, and will facilitate the connectivity cheaper for all segments of society. The project will result in training graduate students and fosters interdisciplinary research. The proposed activities are designed to engage students from all backgrounds focusing on those from underrepresented groups.The proposal focuses on developing Interference Alignment (IA) techniques that work at the finite Signal-to-Noise (SNR) regime. The proposal has two thrusts - one focused on the uplink and another focused on the downlink. The PIs plan to use quasi-randomly oriented antenna elements to accomplish the desired objectives. (1) Present new transmit and receive antenna hardware structures at base-stations to create favorable environments for interference management; (2) Develop new physical-layer algorithms that exploit the characteristics of the proposed antennas and increase by order(s) of magnitude the number of users sharing the same frequency slot, without needing channel information at the transmitter; (3) Develop PHY-layer algorithms and MAC-layer protocols to exploit the proposed antenna designs to enable interference alignment for a large number of users; (4) Develop novel algorithms that enable deploying the proposed research easily on existing next-generation cellular (5G) and WiFi (WiFi-6) protocols; (5) Evaluate the proposed techniques through simulations and real-world experiments with hardware and software implementation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
对无线数据业务的需求沿着用户规模呈指数级增长,而满足这种规模的当前方法是避免干扰。不幸的是,干扰避免技术不能适应这些缩放需求。为了支持大规模部署,需要使多个用户能够共享相同的频谱。换句话说,必须减轻和利用干扰,而不是避免。然而,先前的理论努力在实践中收效甚微。这个项目弥合了理论和实践之间的差距。PI将联合设计和开发PHY和MAC层中的天线和算法,从而可能实现数量级更高的频谱效率通信。设计的解决方案将实现与所有类别的设备、自动驾驶、医疗保健和物联网的连接,并将为社会各阶层提供更便宜的连接。该项目将培养研究生并促进跨学科研究。拟议的活动旨在吸引来自各种背景的学生,重点是那些来自代表性不足的群体。该提案侧重于开发在有限信噪比(SNR)制度下工作的干扰对准(IA)技术。该提案有两个重点-一个侧重于上行链路,另一个侧重于下行链路。PI计划使用准随机定向天线元件来实现预期目标。(1)(2)开发新的物理层算法,利用所提出的天线的特性,并以数量级增加共享相同频率时隙的用户数量,而无需在发射机处的信道信息;(3)开发PHY层算法和MAC层协议,以利用所提出的天线设计来实现针对大量用户的干扰对准;(4)开发新颖的算法,使得能够在现有的下一代蜂窝(5G)和WiFi(WiFi-6)协议上容易地部署所提出的研究;(5)通过硬件和软件实施的模拟和真实世界实验来评估所提出的技术。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Multiple smaller base stations are greener than a single powerful one: Densification of Wireless Cellular Networks
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Agrim Gupta;I. Jain;Dinesh Bharadia
- 通讯作者:Agrim Gupta;I. Jain;Dinesh Bharadia
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Dinesh Bharadia其他文献
Full-Duplex Wireless for (Joint-) Communication and Sensing
用于(联合)通信和传感的全双工无线
- DOI:
10.1109/esscirc55480.2022.9911367 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Hany Abolmagd;Raghav Subbaraman;Dinesh Bharadia;S. Shekhar - 通讯作者:
S. Shekhar
RadSegNet: A Reliable Approach to Radar Camera Fusion
RadSegNet:雷达相机融合的可靠方法
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Kshitiz Bansal;Keshav Rungta;Dinesh Bharadia - 通讯作者:
Dinesh Bharadia
HarvestNet: Mining Valuable Training Data from High-Volume Robot Sensory Streams
HarvestNet:从大容量机器人感官流中挖掘有价值的训练数据
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Sandeep P. Chinchali;Evgenya Pergament;Manabu Nakanoya;Eyal Cidon;E. Zhang;Dinesh Bharadia;M. Pavone;S. Katti - 通讯作者:
S. Katti
A WiFi and Bluetooth Low-Energy Backscatter Combo Chip With Beam Steering Capabilities
具有波束控制功能的 WiFi 和蓝牙低能量反向散射组合芯片
- DOI:
10.1109/ojsscs.2023.3308530 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Shihkai Kuo;Manideep Dunna;Dinesh Bharadia;P. Mercier - 通讯作者:
P. Mercier
Realtime intelligent control for NextG cellular radio access networks
NextG 蜂窝无线接入网络的实时智能控制
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Harish Kumar Dureppagari;Ujwal Dinesha;Raini Wu;Santosh Ganji;Woo;S. Shakkottai;Dinesh Bharadia - 通讯作者:
Dinesh Bharadia
Dinesh Bharadia的其他文献
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{{ truncateString('Dinesh Bharadia', 18)}}的其他基金
Collaborative Research: NeTS: Medium: EdgeRIC: Empowering Real-time Intelligent Control and Optimization for NextG Cellular Radio Access Networks
合作研究:NeTS:媒介:EdgeRIC:为下一代蜂窝无线接入网络提供实时智能控制和优化
- 批准号:
2312979 - 财政年份:2023
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Medium: Programmable Computational Antennas for Sensing and Communications
合作研究:中枢神经系统核心:中:用于传感和通信的可编程计算天线
- 批准号:
2211805 - 财政年份:2022
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant
Collaborative Research: SII-NRDZ: SweepSpace: Enabling Autonomous Fine-Grained Spatial Spectrum Sensing and Sharing
合作研究:SII-NRDZ:SweepSpace:实现自主细粒度空间频谱感知和共享
- 批准号:
2232481 - 财政年份:2022
- 资助金额:
$ 24.98万 - 项目类别:
Continuing Grant
Collaborative Research: CCRI: New: SpecScape: Enabling a Global Spectrum Observatory through Mobile, Wide-band Spectrum Sensing Kits and a Software Ecosystem
合作研究:CCRI:新:SpecScape:通过移动、宽带频谱传感套件和软件生态系统实现全球频谱观测站
- 批准号:
2213689 - 财政年份:2022
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Small: Adaptive Smart Surfaces for Wireless Channel Morphing to Enable Full Multiplexing and Multi-user Gains
合作研究:CNS 核心:小型:用于无线信道变形的自适应智能表面,以实现完全复用和多用户增益
- 批准号:
2107613 - 财政年份:2021
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant
SpecEES: Spectrally-Efficient Near-Zero-Power IoT Connectivity with Existing Wi-Fi Infrastructure
SpecEES:与现有 Wi-Fi 基础设施的频谱效率近零功耗物联网连接
- 批准号:
1923902 - 财政年份:2019
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant
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相似海外基金
Collaborative Research: SWIFT-SAT: INtegrated Testbed Ensuring Resilient Active/Passive CoexisTence (INTERACT): End-to-End Learning-Based Interference Mitigation for Radiometers
合作研究:SWIFT-SAT:确保弹性主动/被动共存的集成测试台 (INTERACT):基于端到端学习的辐射计干扰缓解
- 批准号:
2332661 - 财政年份:2024
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT-SAT: DASS: Dynamically Adjustable Spectrum Sharing between Ground Communication Networks and Earth Exploration Satellite Systems Above 100 GHz
合作研究:SWIFT-SAT:DASS:地面通信网络与 100 GHz 以上地球探测卫星系统之间的动态可调频谱共享
- 批准号:
2332722 - 财政年份:2024
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT-SAT: DASS: Dynamically Adjustable Spectrum Sharing between Ground Communication Networks and Earth Exploration Satellite Systems Above 100 GHz
合作研究:SWIFT-SAT:DASS:地面通信网络与 100 GHz 以上地球探测卫星系统之间的动态可调频谱共享
- 批准号:
2332721 - 财政年份:2024
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT-SAT: INtegrated Testbed Ensuring Resilient Active/Passive CoexisTence (INTERACT): End-to-End Learning-Based Interference Mitigation for Radiometers
合作研究:SWIFT-SAT:确保弹性主动/被动共存的集成测试台 (INTERACT):基于端到端学习的辐射计干扰缓解
- 批准号:
2332662 - 财政年份:2024
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Standard Grant
Collaborative Research: SWIFT: AI-based Sensing for Improved Resiliency via Spectral Adaptation with Lifelong Learning
合作研究:SWIFT:基于人工智能的传感通过频谱适应和终身学习提高弹性
- 批准号:
2229471 - 财政年份:2023
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT: AI-based Sensing for Improved Resiliency via Spectral Adaptation with Lifelong Learning
合作研究:SWIFT:基于人工智能的传感通过频谱适应和终身学习提高弹性
- 批准号:
2229473 - 财政年份:2023
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT: Facilitating Novel Modalities for Spectrum Sharing between Earth-Observing Microwave Radiometers and Commercial Users
合作研究:SWIFT:促进地球观测微波辐射计和商业用户之间频谱共享的新模式
- 批准号:
2229103 - 财政年份:2023
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT: Nonlinear and Inseparable Radar And Data (NIRAD) Transmission Framework for Pareto Efficient Spectrum Access in Future Wireless Networks
合作研究:SWIFT:未来无线网络中帕累托高效频谱接入的非线性不可分离雷达和数据 (NIRAD) 传输框架
- 批准号:
2348826 - 财政年份:2023
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT: Data Driven Learning and Optimization in Reconfigurable Intelligent Surface Enabled Industrial Wireless Network for Advanced Manufacturing
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- 批准号:
2414946 - 财政年份:2023
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Standard Grant
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2229104 - 财政年份:2023
- 资助金额:
$ 24.98万 - 项目类别:
Standard Grant