Collaborative Research: Practical Signal Design for Interference Management in Wireless Communication Networks

合作研究：无线通信网络干扰管理的实用信号设计

• 批准号: 1408604
• 负责人: Youjian Liu
• 金额: $ 19万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1408604&HistoricalAwards=false
• 关键词: Collaborative; Research; Practical; Signal; Design

Interference management is the bottleneck of meeting the explosive wireless data communication demand. The primary method of increasing cellular or Wi-Fi network capacity is to increase base station/access-point density, which leads to more interference from undesired transmitters due to less scatterers at shorter distance. The proposed research attacks the interference problem through joint transmit signal design among users such that it strikes an optimal balance between maximizing a data link's own rate and reducing interference to other links. The objective is to achieve maximal data rates. To make the research more relevant to real-world systems, the team takes an interdisciplinary approach of joint algorithm and hardware design with the consideration of practical constraints. Consequently, the research results are expected to significantly improve the capacity of next generation wireless communication systems. The project also provides a unique opportunity to train both graduate and undergraduate students at the intersection of signal processing and embedded system fields.The proposed research attempts to solve the optimization problem of maximizing weighted sum-rate for interference channels by research on theory, distributed optimization algorithms, and efficient hardware design. The transformative nature of this research lies in that it adopts an interdisciplinary approach of joint algorithm and hardware design, takes advantage of recent optimal signal structure result, as well as considers many practical constraints. The PI's group recently discovered that the optimal signals have a polite water-filling structure, which is analogous to the celebrated interference alignment for infinite SNR where every user can enjoy half of the resource. The polite water-filling works for all SNR range and by exploiting it, the most efficient algorithms have been designed under the ideal assumptions of full channel knowledge and centralized optimization. Under practical constraints, the design and analysis become much more challenging. The PIs will take a holistic approach of theory, design, simulation, and experiments with practical consideration of distributed optimization, distributed channel estimation, partial channel knowledge, quantization noise, hardware processing latency, and power consumption. The outcome of the project includes practical algorithms, performance analysis, and efficient hardware architectures that can serve as a blueprint for interference management in future wireless communication systems.

干扰管理是满足爆炸性无线数据通信需求的瓶颈。增加细胞或Wi-Fi网络容量的主要方法是增加基站/访问点密度，这导致由于较短距离较短的散射器而导致不希望的发射器的干扰更多。拟议的研究通过在用户之间的关节传输信号设计攻击干扰问题，从而达到了最大化数据链接自身率和减少对其他链接的干扰之间达到最佳平衡。目的是达到最大数据速率。为了使研究与现实世界系统更相关，团队采用了联合算法和硬件设计的跨学科方法，并考虑了实际的约束。因此，预计研究结果将显着提高下一代无线通信系统的能力。该项目还提供了一个独特的机会，可以在信号处理和嵌入式系统领域的交集中培训研究生和本科生。拟议的研究试图通过对理论，分布式优化算法和高效硬件设计的研究，分布式优化算法和高效硬件设计来解决干扰渠道的优化问题，以最大程度地提高加权总和。这项研究的变革性质在于它采用了联合算法和硬件设计的跨学科方法，利用了最近的最佳信号结构结果，并考虑了许多实际的约束。 PI的小组最近发现，最佳信号具有礼貌的水结构，类似于无限SNR的著名干扰一致性，每个用户都可以享受一半的资源。有礼貌的填充水适用于所有SNR范围，并利用它，最有效的算法是在完整的通道知识和集中优化的理想假设下设计的。在实际的限制下，设计和分析变得更具挑战性。 PI将采用理论，设计，模拟和实验的整体方法，并实际考虑分布式优化，分布式通道估计，部分通道知识，量化噪声，硬件处理延迟和功耗。该项目的结果包括实用算法，性能分析和有效的硬件体系结构，可以用作未来无线通信系统中干扰管理的蓝图。