课题基金 / 基金详情

SHF:Small:Software-Defined Radio: From High-level Language to Hardware

SHF:Small:Software-Defined Radio: From High-level Language to Hardware
SHF:Small:软件无线电:从高级语言到硬件
批准号:
1717088
负责人:
Geoffrey Mainland
金额:
$44.39万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2021-08-31

项目摘要

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中文摘要
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英文摘要
Software-defined radio (SDR) promises to bring the flexibility of software development to radio protocol design. Unfortunately, SDR platforms that support high-data rate protocols are difficult to program and require low-level, expert knowledge that has little to do with radio protocol design. This project makes high-data rate radio protocol design accessible to a wider community of developers by developing a new high-level language for expressing SDR applications, freeing protocol designers from worrying about the low-level details of a particular SDR platform. The intellectual merits are a new understanding of the language abstractions and runtime facilities needed to translate high-level code to efficient low-level implementations. The project's broader significance and importance are to drastically lower the barrier to entry for high-speed software-defined radio platforms and to produce new tools for the SDR community that facilitate both research and education.The proposed research builds on Ziria, a language for writing radio physical layer (PHY) implementations. Ziria will be extended in to support new radio protocol applications and to support new hardware platforms, including FPGAs. A key project goal is portability: protocols written in Ziria should be portable across SDR platforms without significant loss of performance. Furthermore, users must be able to make use of all parts of heterogeneous SDR platforms---from FPGAs to CPUs to DSPs---seamlessly and without rewriting code. Finally, this project applies knowledge gained in the SDR domain to new domains, such a video encoding and decoding, where low-level hardware is also commonly targeted.
期刊论文(7)
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科研奖励(0)
会议论文
Real-time Online Learning for Pattern Reconfigurable Antenna State Selection
方向图可重构天线状态选择的实时在线学习
DOI: 10.1109/nics51282.2020.9335872
发表时间: 2020
期刊: 2020 7th NAFOSTED Conference on Information and Computer Science (NICS
影响因子: --
作者: [Rey, Xaime Rivas, Mainland, Geoffrey, Dandekar, Kapil]
通讯作者: Dandekar, Kapil
DOI: 10.1109/milcom55135.2022.10017640
发表时间: 2022-11
期刊: MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)
影响因子: --
作者: [Adeeb Abbas;Vasil Pano;G. Mainland;K. Dandekar]
通讯作者: Adeeb Abbas;Vasil Pano;G. Mainland;K. Dandekar
Evaluation of Physical Layer Secret Key Generation for IoT Devices
物联网设备物理层密钥生成的评估
DOI: 10.1109/wamicon.2019.8765465
发表时间: 2019
期刊: 2019 IEEE 20th Wireless and Microwave Technology Conference (WAMICON
影响因子: --
作者: [Jacovic, Marko, Kraus, Martin, Mainland, Geoffrey, Dandekar, Kapil R.]
通讯作者: Dandekar, Kapil R.
Greedy Channel Selection for Dynamic Spectrum Access Radios
动态频谱接入无线电的贪婪信道选择
DOI: 10.1109/iscas45731.2020.9180882
发表时间: 2020
期刊: 2020 IEEE International Symposium on Circuits and Systems
影响因子: --
作者: [Lackpour, Alex, Rey, Xaime Rivas, Mainland, Geoffrey, Dandekar, Kapil R.]
通讯作者: Dandekar, Kapil R.
7
    国内基金
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