CAREER: MIMO-Based Blind Interference Cancellation for Wireless Networking

干扰管理是无线技术和系统的设计中的中心主题，如其从2G/3G网络中的干扰避免到4G网络中的干扰利用的演进所证明的。然而，大多数现有的干扰管理技术是非常低效的，并且不适合于实际实现，因为它们需要网络范围的协调以及干扰特性的知识。因此，重要的是发展盲干扰消除（BIC）技术，可以驯服未知的干扰在不协调的网络。拟议研究的目标是开发BIC技术，并使用它们来推进5G通信的网络解决方案。该研究的成功不仅可以通过在不协调的网络之间实现透明的频谱共享来提高频谱利用效率和灵活性，还可以通过异构网络的基础设施集成来降低网络部署和维护的成本。尽管存在许多复杂的干扰管理技术，但是它们中的大多数限于其中网络节点知道干扰特性（例如，波形、帧格式和导频信号）。该项目的目标是开发BIC技术，通过利用多输入多输出（MIMO）技术的最新进展来驯服未知干扰，并使用BIC技术来推进5G通信的网络解决方案。该研究将通过三个相互依赖的研究方向进行：（1）开发一个通用的基于MIMO的BIC框架，使无线接收器能够在面对强大的未知干扰时解码其信号;（2）开发一个透明的频谱共享方案，允许不协调的网络同时使用相同的频谱;以及（3）将小小区基站集成到多天线Wi-Fi接入点（AP）中以演示异构网络之间的基础设施共享的可行性（例如，Wi-Fi和当前蜂窝）。研究工作是跨学科的，利用通信理论，算法和协议设计，以及跨层优化。该项目中开发的算法和协议得到了系统级原型和实验工作的补充，旨在保证开发的技术适合在现实世界的无线系统中部署。该奖项反映了NSF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。

Interference management is a central theme in the design of wireless technologies and systems as evidenced by its evolution from interference avoidance in 2G/3G networks to interference exploitation in 4G networks. However, most of the existing interference management techniques are highly inefficient and not amenable to practical implementation as they require network-wide coordination as well as knowledge of interference characteristics. It is therefore important to develop blind interference cancellation (BIC) techniques that can tame unknown interference in uncoordinated networks. The objective of the proposed research is to develop BIC techniques and use them to advance networking solutions for 5G communications. Success of the proposed research will not only improve spectrum utilization efficiency and flexibility by enabling transparent spectrum sharing between uncoordinated networks, but also reduce the costs of network deployment and maintenance through infrastructure integration for heterogeneous networks. Although there exist many sophisticated interference management techniques, most of them are limited to cooperative networks where the network nodes have knowledge of interference characteristics (e.g., waveform, frame format, and pilot signals). The goal of this project is to develop BIC techniques that can tame unknown interference by leveraging recent advances in Multiple-Input-Multiple-Output (MIMO) technology, and use the BIC techniques to advance networking solutions for 5G communications. The proposed research will be carried out through three inter-dependent research thrusts: (1) develop a generic MIMO-based BIC framework that enables a wireless receiver to decode its signal in the face of strong unknown interference; (2) develop a transparent spectrum sharing scheme that allows uncoordinated networks to use the same spectrum at the same time; and (3) integrate a small-cell base station into a multi-antenna Wi-Fi access point (AP) to demonstrate the feasibility of infrastructure sharing between heterogeneous networks (e.g., Wi-Fi and current cellular). The research effort is inter-disciplinary, utilizing communications theory, algorithm and protocol design, as well as cross-layer optimization. The algorithms and protocols developed in this project are complemented by a system-level prototyping and experimentation effort aimed at guaranteeing that the technologies developed are suitable for deployment in real-world 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.