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CAREER: Aspiring for Spectrum Freedom Through MIMO Overlay Transmission

CAREER: Aspiring for Spectrum Freedom Through MIMO Overlay Transmission
职业:通过 MIMO 叠加传输追求频谱自由
批准号:
0546491
负责人:
Biao Chen
金额:
$40.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-02-15 至 2012-01-31

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中文摘要
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英文摘要
The proposed project intends to explore the notion of overlay transmission as an alternative design criterion in wireless networks involving multiple transceiver pairs, i.e., the classical interference channels (IFC). Overlay transmission refers to the communication mode where the signals from multiple users superimpose in time and frequency. It is envisioned that, facilitated by the theory and technologies to be developed under this effort, more efficient spectrum utilization can be achieved by allowing concurrent transmissions without compromising each users Quality of Service.The intellectual merit of the project lies in its pursuit of the novel MIMO (multiple-input multiple-output) overlay transmission concept in wireless network design. This differs with existing overlay transmission, such as the code division multiple access systems, whose interference resistance comes at the cost of bandwidth expansion. Instead, we demonstrate that the interplay between spatial diversity and multiuser diversity in MIMO IFC enables overlay transmission to significantly outperform orthogonal transmission. This is also in sharp contrast to the single-input single-output system where overlay transmission has no tangible advantage in spectral efficiency over orthogonal transmission for IFC.The proposed MIMO overlay transmission has broad applications in wireless networks. For cellular networks, prudent use of MIMO overlay transmission will enable novel frequency reuse schemes toimprove channel resource management. In ad hoc networks, incorporating MIMO overlay transmissioninto the networking protocols will help enhance both the network and end-to-end throughputs.MIMO overlay transmission, with its superior spectral efficiency and its potential to enable novelnetworking protocols, has the promise to bring relief to the spectrum scarcity issue encountered intodays wireless systems.Along with the proposed research project, the PI has designed a set of education initiatives.These include promoting active learning through innovative classroom teaching, enhancing graduateand undergraduate curriculum through course development, and involving undergraduate studentswith diverse background in this project.The broader impacts of this project are multi-faceted. By engaging students at both graduateand undergraduate levels in intellectually challenging activities, the students will assume a moreactive role in various education activities. Encouraging and facilitating graduate students participationin professional meetings and conferences will help instill enthusiasm in scientific research into thestudents. Involving undergraduate students in carefully designed research projects will help fostertheir interest in scientific activities. The curriculum development plan caters to the increasing needsof students in the area of communication and signal processing. At the graduate level, it will providean important venue for many local industries and research institutions for the continuing educationof their employees. The PIs enthusiasm in developing and teaching undergraduate courses will ensurethe success of the ongoing undergraduate curriculum reform in the Department of ElectricalEngineering and Computer Science at Syracuse University.
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Seeing the Unseen: Passive RF Sensing via Learning
  • 批准号:
    2036236
  • 项目类别:
    Standard Grant
  • 资助金额:
    $23.5万
  • 财政年份:
    2021
  • 负责人:
    Biao Chen
  • 依托单位:
EAGER:SC2: Collaborative Intelligent Radio Network Design For Cooperative Spectrum Sharing
  • 批准号:
    1737934
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2017
  • 负责人:
    Biao Chen
  • 依托单位:
SpecEES: Collaborative Research: Energy Efficient Dynamic Spectrum Access in Uncoordinated Networks
  • 批准号:
    1731237
  • 项目类别:
    Standard Grant
  • 资助金额:
    $27.5万
  • 财政年份:
    2017
  • 负责人:
    Biao Chen
  • 依托单位:
CIF: Small: Data Reduction for Networked Inference
  • 批准号:
    1218289
  • 项目类别:
    Standard Grant
  • 资助金额:
    $41.68万
  • 财政年份:
    2012
  • 负责人:
    Biao Chen
  • 依托单位:
海外基金