Collaborative Research: EARS: Cognitive and Efficient Spectrum Access in Autonomous Wireless Networks
合作研究:EARS:自主无线网络中的认知和高效频谱访问
基本信息
- 批准号:1247955
- 负责人:
- 金额:$ 20万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-02-01 至 2017-01-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The objective of this project is to enable more efficient and reliable operation of autonomous femtocell networks with agile spectrum access, autonomous interference control, as well as intelligent network self-organization and self-optimization. This project falls into four interacted thrusts: 1) Incorporate cognition into the femtocell networks to cognitively reuse the available spectrum sensed; 2) Develop distributed, dynamic and cooperative interference management schemes exploiting antenna techniques and based on sensed environmental conditions; 3) Investigate the scenarios and schemes that femtocells can be exploited to facilitate macrocell transmissions, and the potential gains in capacity, coverage and reliability; 4) Incorporate interference cancellation for data multicast, and develop techniques to support multiuser video streaming. The project also develops a testbed with open source programmable wireless platforms, for prototyping and evaluating the effectiveness of various techniques developed. The proposed research has the potential to significantly increase the capacity and resilience of existing and future wireless networks. The agility and resilience of the system will also make it instrumental to support communications and applications that are important for national security and economy. The PIs will facilitate technology transfer through their industrial partners and industry affiliate programs. Complementary to the research agenda, the project will carry out a broad range of education and outreach activities, including integration of research findings into the courses, promoting underrepresented and undergraduate populations, and engaging with the K-12 schools to raise the level of student interests in pursuing advanced education and career in the areas of engineering and mathematics.
该项目的目标是使自主毫微微蜂窝网络能够更有效和可靠地运行,具有灵活的频谱接入、自主干扰控制以及智能网络自组织和自优化。该项目福尔斯分为四个相互作用的重点:1)将认知技术引入到毫微微蜂窝网络中,以认知地重用感知到的可用频谱; 2)利用天线技术和基于感知到的环境条件,开发分布式、动态和协作的干扰管理方案; 3)研究可以利用毫微微小区来促进宏小区传输的场景和方案,以及容量的潜在增益,覆盖面和可靠性; 4)为数据多播引入干扰消除,并开发支持多用户视频流的技术。该项目还开发了一个具有开源可编程无线平台的测试平台,用于原型设计和评估所开发的各种技术的有效性。 拟议的研究有可能显着提高现有和未来无线网络的容量和弹性。该系统的灵活性和弹性也将使其有助于支持对国家安全和经济至关重要的通信和应用。PI将通过其工业合作伙伴和工业联盟计划促进技术转让。作为对研究议程的补充,该项目将开展广泛的教育和外联活动,包括将研究成果融入课程,促进代表性不足和本科生群体,并与K-12学校合作,提高学生在工程和数学领域接受高等教育和职业的兴趣。
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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Shiwen Mao其他文献
Green Heterogeneous Cloud Radio Access Networks: Potential Techniques, Performance Trade-offs, and Challenges
绿色异构云无线接入网络:潜在技术、性能权衡和挑战
- DOI:
10.1109/mcom.2017.1600807 - 发表时间:
2017-09 - 期刊:
- 影响因子:11.2
- 作者:
Yuzhou Li;Tao Jiang;Kai Luo;Shiwen Mao - 通讯作者:
Shiwen Mao
Resource Allocation and Computation Offloading in a Millimeter-Wave Train-Ground Network
毫米波车地网络中的资源分配和计算卸载
- DOI:
10.1109/tvt.2022.3185331 - 发表时间:
2022-06 - 期刊:
- 影响因子:6.8
- 作者:
Linqian Li;Yong Niu;Shiwen Mao;Bo Ai;Zhangdui Zhong;Ning Wang;Yali Chen - 通讯作者:
Yali Chen
Complex-Valued Networks for Automatic Modulation Classification
用于自动调制分类的复值网络
- DOI:
10.1109/tvt.2020.3005707 - 发表时间:
2020-06 - 期刊:
- 影响因子:6.8
- 作者:
Ya Tu;Yun Lin;Changbo Hou;Shiwen Mao - 通讯作者:
Shiwen Mao
Energy Efficient Train-Ground mmWave Mobile Relay System for High Speed Railways
高速铁路节能车地毫米波移动中继系统
- DOI:
10.1109/tgcn.2022.3194036 - 发表时间:
2022-10 - 期刊:
- 影响因子:4.8
- 作者:
Lei Wang;Bo Ai;Yong Niu;Zhangdui Zhong;Shiwen Mao;Ning Wang;Zhu Han - 通讯作者:
Zhu Han
Wi-Gym: Gymnastics Activity Assessment Using Commodity Wi-Fi
Wi-Gym:使用商用 Wi-Fi 进行体操活动评估
- DOI:
10.1109/jiot.2022.3188916 - 发表时间:
2022-12 - 期刊:
- 影响因子:10.6
- 作者:
Lei Zhang;Wenyuan Huang;Xiaoxia Jia;Xiaojie Fan;Xiaochen Fan;Liangyi Gong;Wenyuan Tao;Shiwen Mao - 通讯作者:
Shiwen Mao
Shiwen Mao的其他文献
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{{ truncateString('Shiwen Mao', 18)}}的其他基金
Collaborative Research: IMR: MM-1A: Functional Data Analysis-aided Learning Methods for Robust Wireless Measurements
合作研究:IMR:MM-1A:用于稳健无线测量的功能数据分析辅助学习方法
- 批准号:
2319342 - 财政年份:2023
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
Collaborative Research: CCSS: When RFID Meets AI for Occluded Body Skeletal Posture Capture in Smart Healthcare
合作研究:CCSS:当 RFID 与人工智能相遇,用于智能医疗保健中闭塞的身体骨骼姿势捕获
- 批准号:
2245608 - 财政年份:2023
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Collaborative Research: SCH: AI-driven RFID Sensing for Smart Health Applications
合作研究:SCH:面向智能健康应用的人工智能驱动的 RFID 传感
- 批准号:
2306789 - 财政年份:2023
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
RINGS: l-RIM: Learning based Resilient Immersive Media-Compression, Delivery, and Interaction
RINGS:l-RIM:基于学习的弹性沉浸式媒体压缩、交付和交互
- 批准号:
2148382 - 财政年份:2022
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
Collaborative Research: CNS Core: Medium: Data Augmentation and Adaptive Learning for Next Generation Wireless Spectrum Systems
合作研究:CNS 核心:媒介:下一代无线频谱系统的数据增强和自适应学习
- 批准号:
2107190 - 财政年份:2021
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
CCSS: Autonomous Drone and Ground Robot Cooperative Tasking in Complex Indoor Environments
CCSS:复杂室内环境中的自主无人机和地面机器人协作任务
- 批准号:
1923163 - 财政年份:2019
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
RUI: SpecEES: Collaborative Research: Enabling Secure, Energy-Efficient, and Smart In-Band Full Duplex Wireless
RUI:SpecEES:协作研究:实现安全、节能和智能的带内全双工无线
- 批准号:
1923717 - 财政年份:2019
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Phase I IUCRC Auburn University: Fiber-Wireless Integration and Networking (FiWIN) Center for Heterogeneous Mobile Data Communications
第一阶段 IUCRC 奥本大学:异构移动数据通信光纤无线集成和网络 (FiWIN) 中心
- 批准号:
1822055 - 财政年份:2018
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
WiFiUS: RF Sensing in Internet of Things: When Deep Learning Meets CSI Tensor
WiFiUS:物联网中的射频传感:当深度学习遇到 CSI Tensor
- 批准号:
1702957 - 财政年份:2017
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
NeTS: Small: Collaborative Research: Exploring the 60 GHz Spectral Frontier for Multi-Gigabit Wireless Networks
NetS:小型:协作研究:探索多千兆位无线网络的 60 GHz 频谱前沿
- 批准号:
1320664 - 财政年份:2013
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
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