Collaborative Research: CCSS: D2D Wireless Networks: An Interference Nightmare or Resource Allocation Auspice

合作研究:CCSS:D2D 无线网络:干扰噩梦或资源分配吉祥物

基本信息

  • 批准号:
    1405116
  • 负责人:
  • 金额:
    $ 18.47万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-09-01 至 2017-09-30
  • 项目状态:
    已结题

项目摘要

Mobile data traffic has dramatically increased in recent years with the emergence of smart devices. Device-to-Device (D2D) communications are expected to become a key feature supported by next generation cellular networks with advantages of: 1) extended coverage; 2) offloading in cellular networks; 3) improved energy efficiency; 4) enhanced throughput and spectrum efficiency; and 5) creation of new services. Interference management is of key importance for deployment of D2D networks. Although D2D communications bring improvement in spectral efficiency and system capacity, it also causes interference to the cellular network as a result of spectrum sharing. Thus, efficient resource allocation and interference coordination must be addressed to guarantee a target performance level of the cellular communications. This project constructs a distributed and cross-layer framework to turn the interference challenges into dynamic resource allocation auspice. The fundamental results to be obtained from this project will enable transformative techniques that can lead to improved performance of the next generation wireless networks. The results will be publicly available through publications and open source software release. The research results will be integrated into the existing combined education and research effort. Furthermore, the education component will equip both undergraduate and graduate students with the skills needed to contribute to the field of wireless networking. Outreach activities will be directed to high school students and increase the participation of women and minority in science and engineering. As such, the broader impact resulting from the proposed activities is also reflected through the integration of research and education for the training of future wireless workforce.The proposed activities are primarily targeted at constructing the new D2D networks, and then uncovering the design challenges, tradeoffs, and requirements for cross layer resource allocation approaches. Major intellectual merits in our proposed research thrusts are: 1) Resource Allocation with Underlay D2D Communication in Cellular Networks: Innovative resource allocation schemes are proposed to maximize the overall network throughput while ensuring quality-of-service. The proposed schemes consist of techniques, such as admission control, power control, and matching potential D2D partners, and then conduct joint cross-layer optimization for both D2D users and cellular users. 2) Game Theoretical Distributed Scheme: A variety of game theory approaches, such as reverse iterative combinatorial auction and Stackelberg game, are adopted for dynamic opportunistic resource allocation. Furthermore, the equilibrium of the game is investigated, and the approaches are designed for the game equilibria to be close-optimal compared to the optimal solutions. 3) Joint Consideration with Femtocell: Since femtocell/smallcell networking and D2D networking are two major research directions pushed by cellular service providers, open access is designed for femtocell together with D2D LTE-Advanced networks in order to optimize network connectivity, coverage, system performance, and balance. 4) Context Aware Network: a context aware framework is optimized for resource management in D2D networks, which is aligned with LTE-direct. Ultimately, the proposed interdisciplinary and cross layer framework will provide a blueprint towards building new perspectives on future wireless network design.
近年来,随着智能设备的出现,移动的数据流量急剧增加。预期设备到设备(D2 D)通信将成为下一代蜂窝网络所支持的关键特征,其具有以下优点:1)扩展的覆盖; 2)蜂窝网络中的卸载; 3)改进的能量效率; 4)增强的吞吐量和频谱效率;以及5)新服务的创建。干扰管理对于D2 D网络的部署至关重要。虽然D2 D通信带来了频谱效率和系统容量的改善,但是由于频谱共享,它也对蜂窝网络造成干扰。因此,必须解决有效的资源分配和干扰协调以保证蜂窝通信的目标性能水平。 该项目构建了一个分布式、跨层的框架,将干扰问题转化为动态资源分配问题。从该项目中获得的基本成果将使变革性技术能够提高下一代无线网络的性能。研究结果将通过出版物和开放源码软件的发布向公众公布。研究成果将纳入现有的教育和研究工作。此外,教育部分将使本科生和研究生具备为无线网络领域做出贡献所需的技能。将针对高中生开展外联活动,并增加妇女和少数民族对科学和工程的参与。因此,所提议的活动所产生的更广泛的影响也通过整合研究和教育以培训未来的无线劳动力来反映。所提议的活动主要针对构建新的D2 D网络,然后揭示跨层资源分配方法的设计挑战、权衡和要求。我们提出的研究重点中的主要智力优点是:1)蜂窝网络中的底层D2 D通信的资源分配:提出了创新的资源分配方案,以最大化整体网络吞吐量,同时确保服务质量。提出的方案包括技术,如准入控制,功率控制,和匹配潜在的D2 D合作伙伴,然后进行联合跨层优化的D2 D用户和蜂窝用户。2)博弈论分布式方案:采用各种博弈论方法,如反向迭代组合拍卖和Stackelberg博弈,进行动态机会主义资源分配。此外,博弈的均衡进行了研究,并设计的方法相比,最优解的博弈均衡是接近最优的。3)与Femtocell的联合考虑:由于Femtocell/smallcell网络和D2 D网络是蜂窝服务提供商推动的两个主要研究方向,因此为Femtocell和D2 D LTE-Advanced网络设计开放接入,以优化网络连接,覆盖,系统性能和平衡。4)上下文感知网络:针对D2 D网络中的资源管理优化上下文感知框架,其与LTE直连一致。最终,建议的跨学科和跨层框架将提供一个蓝图,建立未来无线网络设计的新观点。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Geoffrey Ye Li其他文献

Joint transceiver design with antenna selection for large-scale MU-MIMO millimeter-wave systems
大规模 MU-MIMO 毫米波系统的联合收发器设计和天线选择
Coexistence of direct and relayed transmission users in multi-cell massive MIMO systems
多小区大规模MIMO系统中直传和中继传输用户的共存
小基站系统中基于LBT的自适应信道访问机制研究
Deep Learning and Compressive Sensing-Based CSI Feedback in FDD Massive MIMO Systems
FDD 大规模 MIMO 系统中基于深度学习和压缩感知的 CSI 反馈
  • DOI:
    10.1109/tvt.2020.3004842
  • 发表时间:
    2020-06
  • 期刊:
  • 影响因子:
    6.8
  • 作者:
    Peizhe Liang;Jiancun Fan;Wenhan Shen;Zhijin Qin;Geoffrey Ye Li
  • 通讯作者:
    Geoffrey Ye Li
A step function based recursion method for 0/1 deep neural networks
  • DOI:
    10.1016/j.amc.2024.129129
  • 发表时间:
    2025-03-01
  • 期刊:
  • 影响因子:
  • 作者:
    Hui Zhang;Shenglong Zhou;Geoffrey Ye Li;Naihua Xiu;Yiju Wang
  • 通讯作者:
    Yiju Wang

Geoffrey Ye Li的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Geoffrey Ye Li', 18)}}的其他基金

Collaborative Research: Overcoming Technological Challenges for Spectrum Trading
合作研究:克服频谱交易的技术挑战
  • 批准号:
    1443894
  • 财政年份:
    2014
  • 资助金额:
    $ 18.47万
  • 项目类别:
    Standard Grant
Efficient Management and Opportunistic Usage of Radio Spectrum based Graph Theory
基于图论的无线电频谱高效管理与机会利用
  • 批准号:
    1247545
  • 财政年份:
    2012
  • 资助金额:
    $ 18.47万
  • 项目类别:
    Standard Grant
CIF:Small: Collaborative Research: Distributed PHY/MAC Optimization for Energy and Spectral Efficient Wireless Networks
CIF:Small:协作研究:能源和频谱高效无线网络的分布式 PHY/MAC 优化
  • 批准号:
    1017192
  • 财政年份:
    2010
  • 资助金额:
    $ 18.47万
  • 项目类别:
    Standard Grant

相似国自然基金

Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 批准年份:
    2024
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
Cell Research
  • 批准号:
    31224802
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research
  • 批准号:
    31024804
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research (细胞研究)
  • 批准号:
    30824808
  • 批准年份:
    2008
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
  • 批准年份:
    2007
  • 资助金额:
    45.0 万元
  • 项目类别:
    面上项目

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:
    2332172
  • 财政年份:
    2024
  • 资助金额:
    $ 18.47万
  • 项目类别:
    Standard Grant
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:
    2332173
  • 财政年份:
    2024
  • 资助金额:
    $ 18.47万
  • 项目类别:
    Standard Grant
Collaborative Research: CCSS: Continuous Facial Sensing and 3D Reconstruction via Single-ear Wearable Biosensors
合作研究:CCSS:通过单耳可穿戴生物传感器进行连续面部传感和 3D 重建
  • 批准号:
    2401415
  • 财政年份:
    2023
  • 资助金额:
    $ 18.47万
  • 项目类别:
    Standard 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:
    2245607
  • 财政年份:
    2023
  • 资助金额:
    $ 18.47万
  • 项目类别:
    Standard Grant
Collaborative Research: CCSS: Hierarchical Federated Learning over Highly-Dense and Overlapping NextG Wireless Deployments: Orchestrating Resources for Performance
协作研究:CCSS:高密度和重叠的 NextG 无线部署的分层联合学习:编排资源以提高性能
  • 批准号:
    2319780
  • 财政年份:
    2023
  • 资助金额:
    $ 18.47万
  • 项目类别:
    Standard Grant
Collaborative Research: CCSS: Hierarchical Federated Learning over Highly-Dense and Overlapping NextG Wireless Deployments: Orchestrating Resources for Performance
协作研究:CCSS:高密度和重叠的 NextG 无线部署的分层联合学习:编排资源以提高性能
  • 批准号:
    2319781
  • 财政年份:
    2023
  • 资助金额:
    $ 18.47万
  • 项目类别:
    Standard Grant
Collaborative Research: CCSS: Towards Energy-Efficient Millimeter Wave Wireless Networks: A Unified Systems and Circuits Framework
合作研究:CCSS:迈向节能毫米波无线网络:统一系统和电路框架
  • 批准号:
    2242700
  • 财政年份:
    2023
  • 资助金额:
    $ 18.47万
  • 项目类别:
    Standard 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:
    $ 18.47万
  • 项目类别:
    Standard Grant
Collaborative Research: CCSS: Towards Energy-Efficient Millimeter Wave Wireless Networks: A Unified Systems and Circuits Framework
合作研究:CCSS:迈向节能毫米波无线网络:统一系统和电路框架
  • 批准号:
    2242701
  • 财政年份:
    2023
  • 资助金额:
    $ 18.47万
  • 项目类别:
    Standard Grant
CCSS: Collaborative Research: Quickest Threat Detection in Adversarial Sensor Networks
CCSS:协作研究:对抗性传感器网络中最快的威胁检测
  • 批准号:
    2236565
  • 财政年份:
    2022
  • 资助金额:
    $ 18.47万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了