CIF: Medium: Collaborative Research: Interference-Aware Cooperation via Structured Codes: Creating an Empirical Cycle

CIF：媒介：协作研究：通过结构化代码进行干扰感知合作：创建经验循环

• 批准号: 1302616
• 负责人: Krishna Narayanan
• 金额: $ 30.96万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2018-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1302616&HistoricalAwards=false
• 关键词: CIF; Medium; Collaborative; Research; Interference

The classical approach to wireless communication is to isolate communication links by maximizing signal strength and minimizing interference between users. This simple philosophy is supported by a rich theoretical foundation which has inspired powerful coding techniques and protocols that lie at the heart of modern wireless systems. However, these systems have recently become victims of their own success as the rising density and data requirements of wireless devices have led to a surge in interference. Fortunately, an emerging body of work indicates that the phenomenon of interference may in fact represent an untapped opportunity for increasing the spectral and energy efficiency of next-generation wireless systems. Although many interference-aware communication strategies have been proposed in the literature, the promised gains have been mostly limited to the theoretical realm. The objective of this project is to create practical interference-aware wireless protocols that can operate near the performance predicted by theoretical bounds in terms of throughput, energy efficiency, and reliability. The project is organized into three complementary thrusts that encompass theory, algorithms, and practice. The first thrust investigates lattice-based constellations and low-complexity codes for the compute-and-forward strategy, which enables receivers to decode linear combinations of transmitted codewords. Compute-and-forward can in turn be used as a building block for realizing interference-aware protocols such as physical-layer network coding and multiple-user MIMO (multi-input-uulti-output) systems. The second thrust aims to implement these protocols on a three-node WARP (Wireless Open-Access Research Platform) testbed. A series of carefully designed experiments will be used to compare the performance of interference-aware strategies while accounting for overhead costs. The third thrust leverages the data collected from these experiments to revise channel models to capture key features that impact the performance of interference-aware strategies such as asynchronism and channel fluctuations. These models will be used to revisit the theoretical foundations of interference-aware strategies and tailor them to the channels encountered in practice. This project features several outreach efforts including undergraduate research experiences connected to the WARP testbed and a public repository of training modules and videos.

无线通信的经典方法是通过最大化信号强度并最小化用户之间的干扰来隔离通信链路。这一简单的理念得到了丰富的理论基础的支持，这些理论基础激发了现代无线系统核心的强大编码技术和协议。然而，随着无线设备密度和数据要求的不断提高导致干扰激增，这些系统最近成为其自身成功的受害者。幸运的是，一项新兴的工作表明，干扰现象实际上可能代表着提高下一代无线系统频谱和能源效率的一个尚未开发的机会。尽管文献中已经提出了许多干扰感知通信策略，但所承诺的收益大多仅限于理论领域。该项目的目标是创建实用的干扰感知无线协议，该协议可以在吞吐量、能源效率和可靠性方面接近理论极限预测的性能。该项目分为三个互补的主旨，涵盖理论、算法和实践。第一个主旨研究用于计算转发策略的基于格的星座和低复杂度代码，这使得接收器能够解码所传输码字的线性组合。计算转发又可以用作实现干扰感知协议的构建块，例如物理层网络编码和多用户 MIMO（多输入多输出）系统。第二个目标是在三节点 WARP（无线开放访问研究平台）测试台上实施这些协议。将使用一系列精心设计的实验来比较干扰感知策略的性能，同时考虑管理成本。第三个推动力利用从这些实验中收集的数据来修改信道模型，以捕获影响干扰感知策略性能的关键特征，例如异步和信道波动。这些模型将用于重新审视干扰感知策略的理论基础，并根据实践中遇到的信道进行调整。该项目包括多项外展工作，包括与 WARP 测试台相关的本科生研究经验以及培训模块和视频的公共存储库。