Blind Carbon Copy on Dirty Paper: Seamless Spectrum Underlay made Practical
Blind Carbon Copy on Dirty Paper: Seamless Spectrum Underlay made Practical
批准号:
2118002
负责人:
Nikolaos Sidiropoulos
金额:
$38.8万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-07-01 至 2025-06-30
中文摘要
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英文摘要
From smart homes to smart cars and highways, and from smart health to precision agriculture, emerging technologies will soon demand ubiquitous connectivity for billions of wireless devices. The demand for more spectrum has finally started to outweigh resistance to spectrum reuse. There is currently strong impetus for introducing innovative spectrum sharing modalities that enable improved spectrum utilization and seamless cohabitation, without requiring tight coordination across legacy, scientific, government, military, and commercial users. Spectrum underlay is a promising paradigm towards this end. It provisions secondary transmissions that operate without disturbing the primary user. Practical means of accomplishing this without requiring tight coordination between the primary and the secondary system have remained elusive, however. This project develops practical spectrum underlay solutions which enable reliable secondary communication in scenarios where this would otherwise seem untenable: without primary-secondary coordination or channel state information, under potentially strong and time-varying interference from the primary system. The scope of potential applications includes Internet of Things (IoT), vehicular, and local area (e.g., WiFi) networks in congested spectrum areas.Ensuring United States leadership in spectrum research, technologies, and commercial/scientific applications requires investments in spectrum sharing innovations and developing a well-educated and diverse spectrum workforce. This projects makes contributions towards both of these goals. The proposed research builds upon the principal investigator's prior work on statistical signal processing, machine learning, and matrix theory, as well as practical communications engineering -- an ideal combination to educate and engage diverse graduate and undergraduate students on the board and in the lab. The research will develop state-of-the-art theory and engineering solutions geared towards practical implementation. The scope of the work includes the following synergistic components, organized in five thrusts: T1) Incorporating finite alphabet and error control coding constraints into the basic algebraic framework. T2) Developing multi-access and random interleaving solutions to ``orthogonalize'' multiple secondary transmissions in multiuser settings. T3) Analyzing performance under fading scenarios, with adaptive modulation and coding. T4) Addressing key engineering issues, namely, secondary user synchronization and analog-to-digital conversion, which are challenging when the secondary signal is much weaker than the interfering primary signal. T5) Developing a software radio testbed and conducting experiments to validate the proposed solutions.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.
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A Novel Linear Precoder Design for Reliable UL/DL Detection in TDD Cellular Networks
用于 TDD 蜂窝网络中可靠 UL/DL 检测的新型线性预编码器设计
DOI:
10.1109/tcomm.2022.3217129
发表时间:
2022
期刊:
IEEE Transactions on Communications
影响因子:
8.3
作者:
[Ibrahim, Mohamed Salah, Hussain, Ahmed, Sidiropoulos, Nicholas D.]
通讯作者:
Sidiropoulos, Nicholas D.
Binary Signal Alignment: Optimal Solution is Polynomial-Time and Linear-Time Solution is Quasi-Optimal
二值信号对齐:最优解是多项式时间,线性时间解是准最优
DOI:
10.1109/icassp48485.2024.10446740
发表时间:
2024
期刊:
IEEE
影响因子:
--
作者:
[Peppas, Spyridon, Sidiropoulos, Nicholas D.]
通讯作者:
Sidiropoulos, Nicholas D.
Unsupervised Detection via Artificial Dual-Path Transmission
通过人工双路径传输进行无监督检测
DOI:
10.1109/ieeeconf56349.2022.10051985
发表时间:
2022
期刊:
and Computers
影响因子:
--
作者:
[Hussain, Ahmed, Ibrahim, Mohamed Salah, Sidiropoulos, Nicholas D.]
通讯作者:
Sidiropoulos, Nicholas D.
DOI:
10.1109/twc.2022.3181618
发表时间:
2022
期刊:
IEEE Transactions on Wireless Communications
影响因子:
10.4
作者:
[Ibrahim, Mohamed Salah, Karakasis, Paris A., Sidiropoulos, Nicholas D.]
通讯作者:
Sidiropoulos, Nicholas D.
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Robust and Scalable Volume Minimization-based Matrix Factorization for Sensing and Clustering
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Wideband cognitive sensing from a few bits
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From Medium Access to Physical Layer: An Integrated DSP Framework for Wireless Packet Networks
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资助金额:$20.0万
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依托单位:
From Medium Access to Physical Layer: An Integrated DSP Framework for Wireless Packet Networks
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项目类别:Continuing Grant
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依托单位:
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项目类别:Standard Grant
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财政年份:1998
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负责人:Nikolaos Sidiropoulos
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依托单位:
国内基金
海外基金
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