CIF: Small: Collaborative Research: Communications in Ultra-Low-Rate Regime: Fundamental Limits, Code Constructions, and Applications

CIF：小型：协作研究：超低速率制度下的通信：基本限制、代码构造和应用

基本信息

批准号：
1909771
负责人：
Hessam Mahdavifar
金额：
$ 25万
依托单位：
Regents of the University of Michigan - Ann Arbor
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2023-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1909771&HistoricalAwards=false
关键词：
CIF Small Collaborative Research Communications

项目摘要

Wireless networks have become an integral part of our society by connecting billions of users around the globe. The next generation wireless networks, known as 5G, are expected to deliver orders of magnitude higher data rates to an ever-increasing number of devices. The fundamental limits on how much networks can be pushed towards these advancements are determined by the amount of available wireless bands. To this end, two extremes of wireless communications have become increasingly important, namely, narrowband and wideband. The narrowband communication, using a small band of frequencies, enables connectivity of thousands of devices, such as everyday objects in Internet-of-Things (IoT) networks, to a single cell tower. Wideband communications, using large swaths of frequencies, at extremely high frequencies is the key enabling technology for delivering ultra-high data rates to 5G mobile users. In both of these scenarios, individual bits of information are assigned extremely low power for communication resulting in bit-wise wireless channels with low capacity. This introduces a new array of fundamental problems with respect to communications over low-capacity channels that is the focus of this project. The results of this project will contribute to the foundation of information and coding theory as well as the development of wireless networks that can achieve the ultimate limits of narrowband and wideband communications.Recently, the wireless standards entity, 3GPP, has introduced new protocols into the standard in order to integrate IoT into the cellular network. A major feature of these protocols is to deploy ultra-low-rate communications in order to address diverse requirements of IoT networks. Such low-rate communication is enabled in the standard by simply allowing a large number of block repetitions, which could be extremely suboptimal from the channel coding perspective. A similar situation arises in wideband scenarios. Wideband channels can essentially provide high data rates, in terms of bits per second. However, individual coded bits experience extremely low signal-to-noise ratios, due to limited signal power and larger attenuations in higher frequencies. In light of the emerging applications in these two extremes of wireless communications, the investigators aim at a comprehensive investigation of channel coding in the low-capacity regime. The specific objectives in this project are as follows: (1) Provide a precise framework for channel coding at low capacity, and characterize fundamental non-asymptotic laws for channel coding in this regime; (2) Develop techniques for the non-asymptotic analysis of wireless wideband and millimeter wave systems; (3) Investigate state-of-the-art codes, including their construction, performance, and efficient decoding, for adaptation to low-rate regimes; (4) Construct efficient concatenated coding schemes including coded repetition and concatenation with low-rate algebraic codes, given diverse requirements of low-capacity applications. Consequently, this project develops a formal connection between information theory, coding theory, and wireless communications resulting in a mathematically precise interface between these areas to address the challenges of narrowband and wideband wireless systems.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.

无线网络连接全球数十亿用户，已成为我们社会不可或缺的一部分。下一代无线网络（称为 5G）预计将为数量不断增加的设备提供更高数量级的数据速率。可以推动多少网络实现这些进步的基本限制是由可用无线频段的数量决定的。为此，无线通信的两个极端变得越来越重要，即窄带和宽带。窄带通信使用小频段，可以将数千个设备（例如物联网 (IoT) 网络中的日常物品）连接到单个蜂窝塔。使用大量频率和极高频率的宽带通信是向 5G 移动用户提供超高数据速率的关键支持技术。在这两种情况下，各个信息位都被分配了极低的通信功率，从而导致逐位无线信道的容量较低。这引入了一系列与低容量通道通信相关的新基本问题，这也是本项目的重点。该项目的成果将有助于信息和编码理论的基础以及能够实现窄带和宽带通信极限的无线网络的发展。最近，无线标准实体3GPP在无线网络中引入了新的协议。标准，以便将物联网集成到蜂窝网络中。这些协议的一个主要特点是部署超低速率通信，以满足物联网网络的多样化需求。在标准中，通过简单地允许大量块重复来实现这种低速率通信，从信道编码的角度来看，这可能是极其次优的。宽带场景中也会出现类似的情况。宽带通道本质上可以提供高数据速率（以每秒位数表示）。然而，由于有限的信号功率和较高频率下较大的衰减，单个编码比特的信噪比极低。鉴于无线通信这两个极端的新兴应用，研究人员旨在对低容量情况下的信道编码进行全面研究。该项目的具体目标如下： (1) 为低容量信道编码提供精确的框架，并表征该机制下信道编码的基本非渐近定律； (2) 开发无线宽带和毫米波系统非渐近分析技术； (3) 研究最先进的代码，包括其构造、性能和高效解码，以适应低速率体制； (4)考虑到低容量应用的不同需求，构建高效的级联编码方案，包括编码重复和低速率代数码的级联。因此，该项目在信息论、编码理论和无线通信之间建立了正式的联系，从而在这些领域之间建立了数学上精确的接口，以应对窄带和宽带无线系统的挑战。该奖项反映了 NSF 的法定使命，并被认为是值得的通过使用基金会的智力优势和更广泛的影响审查标准进行评估来提供支持。