SpecEES: Dynamic Space Frequency Multiplexing - A New Paradigm for Filterbank Multicarrier Spectrum Access
SpecEES: Dynamic Space Frequency Multiplexing - A New Paradigm for Filterbank Multicarrier Spectrum Access
批准号:
1824558
负责人:
Behrouz Farhang-Boroujeny
金额:
$67.46万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2022-08-31
中文摘要
动态空间频率复用——滤波器组多载波频谱接入的新范式移动数据流量的指数级增长推动了无线通信技术以前所未有的速度发展。然而,可用频谱的数量并没有跟上。随着频谱的使用越来越密集,开发新的技术来提高频谱的利用效率是至关重要的。为了实现高度通用性和频率敏捷性的动态频谱接入,需要更好地利用有限的频率、时间和能量资源的技术。该项目开发了一种称为动态空间频率复用(DSFM)的独特方法,通过优化物理层的空间和频率利用率,并与新颖的信道编码、多址访问控制(MAC)层和编码缓存设计相结合,以最大限度地提高频谱和能源效率。该项目的成功实施将使频谱效率至少提高一个数量级。由于该设计在支持多用户异步通信方面具有很大的灵活性,因此可以应对未来5G的挑战,例如蜂窝密集化和大规模物联网(IoT)。该项目将为本科生和研究生提供宝贵的研究机会。该项目的成果也将与课堂教学和外展紧密结合。提出的DSFM设计建立在两种互补技术的基础上——用于频率复用的滤波器组多载波(FBMC)和用于空间复用的大规模多输入多输出(MIMO)。FBMC的频谱特性优于正交频分复用(OFDM),因为它采用了可控制时域和频域的柔性原型滤波器。新兴的大规模MIMO技术通过空间复用为FBMC提供了互补的优势。它使FBMC系统具有重要的自均衡特性,可以根据动态频谱可用性灵活地分配子载波带宽。另一方面,FBMC提供了实际大规模MIMO系统所需的有效频率复用。提出的DSFM设计将最大限度地提高FBMC和大规模MIMO的相互效益,因此是频谱效率和节能动态频谱接入的特殊候选者。该项目具有很高的创新性,因为它开发了(1)新颖的自适应原型滤波器设计,可以实现大规模MIMO网络的FBMC自均衡;(2)混合波束形成架构,提高能源效率;(3)用于高频谱和高能效通信的低复杂度信道编解码算法;(4)缓存辅助DSFM载波聚合,提高频谱和能量效率;(5)支持dsfm的动态MAC层方案;(6)利用美国国家科学基金会(NSF)先进无线研究平台(PAWR)进行城市规模的试验台验证。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
SpecEES: Dynamic Space Frequency Multiplexing - A New Paradigm for Filterbank Multicarrier Spectrum AccessThe exponential growth of mobile data traffic has driven wireless communication technologies at an unprecedented pace. However, the amount of available spectrum has not kept up. As the use of spectrum becomes increasingly condensed, it is critical to develop new technologies to improve the efficiency of spectrum utilization. Technologies that can better utilize the limited resources of frequency, time, and energy are needed to enable highly versatile and frequency-agile dynamic spectrum access. The proposed project develops a unique approach termed Dynamic Space Frequency Multiplexing (DSFM) for dynamic spectrum access by optimizing space and frequency utilization in physical-layer and integrating with novel channel coding, multiple access control (MAC) layer and coded caching designs to maximize spectral and energy efficiency. Successful execution of this project will improve spectral efficiency by at least an order of magnitude. The proposed design is posed to meet future 5G challenges such as cell densification and massive Internet-of-things (IoT) due to its great flexibility in supporting multiuser asynchronous communication. This project will provide valuable research opportunities for undergraduate and graduate students. Outcomes of this project will also be tightly integrated into classroom teaching and outreach.The proposed DSFM design builds upon two complementary technologies -- filter bank multicarrier (FBMC) for frequency multiplexing and massive multiple-input multiple-output (MIMO) for spatial multiplexing. FBMC has superior spectral property to that of orthogonal frequency division multiplexing (OFDM) due to a flexible prototype filter whose locality in both time and frequency can be controlled. The emerging technology of massive MIMO offers complementary benefits to that of FBMC through spatial multiplexing. It enables a crucial self-equalization property for FBMC systems that allows for great flexibility in the allocation of subcarrier bandwidth in accordance to dynamic spectrum availability. On the other hand, FBMC offers effective frequency multiplexing needed for practical massive MIMO systems. The proposed DSFM design will maximize mutual benefits of FBMC and massive MIMO and thus is an exceptional candidate for both spectrum efficient and energy efficient dynamic spectrum access. This project is highly innovative in that it develops (1) novel adaptive prototype filter designs that enable self-equalization of FBMC for massive MIMO networks; (2) hybrid beamforming architectures to improve energy efficiency; (3) low complexity channel coding and decoding algorithms for high spectral and energy efficiency communications; (4) cache-aided DSFM carrier aggregation for improving spectral and energy efficiency; (5) DSFM-enabled dynamic MAC layer schemes; (6) city-scale testbed validation using the National Science Foundation (NSF) Platforms for Advanced Wireless Research (PAWR).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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发表时间:
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期刊:
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DOI:
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发表时间:
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期刊:
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影响因子:
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DOI:
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期刊:
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2022-01
期刊:
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DOI:
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期刊:
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项目类别:Standard Grant
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资助金额:$22.74万
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财政年份:2011
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依托单位:
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批准号:0801641
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项目类别:Standard Grant
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资助金额:$30.0万
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财政年份:2008
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负责人:Behrouz Farhang-Boroujeny
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批准年份:2024
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