SpecEES: Dynamic Space Frequency Multiplexing - A New Paradigm for Filterbank Multicarrier Spectrum Access

规格：动态空间频率复用-滤波器组多载波频谱复用的新范例移动的数据业务的指数增长已经以前所未有的速度驱动了无线通信技术。然而，可用频谱的数量并没有跟上。随着频谱使用的日益密集，开发新技术以提高频谱利用效率至关重要。需要能够更好地利用频率、时间和能量的有限资源的技术来实现高度通用和频率捷变的动态频谱接入。该项目提出了一种独特的方法，称为动态空间频率复用（DSFM）的动态频谱接入，通过优化物理层的空间和频率利用率，并结合新的信道编码，多址接入控制（MAC）层和编码缓存设计，以最大限度地提高频谱和能源效率。该项目的成功执行将使频谱效率至少提高一个数量级。所提出的设计是为了满足未来的5G挑战，如小区密集化和大规模物联网（IoT），因为它在支持多用户异步通信方面具有很大的灵活性。这个项目将为本科生和研究生提供宝贵的研究机会。该项目的成果也将紧密结合到课堂教学和外展中。拟议的DSFM设计建立在两种互补的技术基础上-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具有比正交频分复用（OFDM）更优越的上级频谱特性，这是由于FBMC具有灵活的原型滤波器，其在时间和频率上的位置都可以控制。新兴的大规模MIMO技术通过空间复用为FBMC技术提供了补充优势。它实现了FBMC系统的关键自均衡特性，该特性允许根据动态频谱可用性来分配子载波带宽的极大灵活性。另一方面，FBMC提供实际大规模MIMO系统所需的有效频率复用。 所提出的DSFM设计将最大化FBMC和大规模MIMO的共同利益，因此是频谱高效和能量高效的动态频谱接入的特殊候选者。该项目具有高度创新性，因为它开发了（1）新颖的自适应原型滤波器设计，能够实现大规模MIMO网络的FBMC自均衡;（2）混合波束成形架构，以提高能量效率;（3）低复杂度信道编码和解码算法，用于高频谱和能量效率通信;（4）高速缓存辅助DSFM载波聚合，用于提高频谱和能量效率;（5）支持DSFM的动态MAC层方案;（6）使用美国国家科学基金会（NSF）先进无线研究平台（PAWR）进行城市规模的测试床验证。该奖项反映了NSF的法定使命，并通过使用该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。

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.