CAREER: MIMO-Based Blind Interference Cancellation for Wireless Networking

干扰管理是无线技术和系统设计中的一个中心主题，从2G/3G网络中的干扰避免到4G网络中的干扰利用的演变就是明证。然而，现有的大多数干扰管理技术效率很低，并且不适合实际实施，因为它们需要网络范围的协调以及干扰特性的知识。因此，开发能够驯服非协调网络中的未知干扰的盲干扰消除(BIC)技术是非常重要的。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。拟议研究的成功不仅将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，还将通过对异类网络的基础设施整合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，但它们中的大多数仅限于网络节点知道干扰特性(例如，波形、帧格式和导频信号)的协作网络。该项目的目标是开发能够利用多输入多输出(MIMO)技术的最新进展来驯服未知干扰的BIC技术，并使用BIC技术来推进5G通信的网络解决方案。拟议的研究将通过三个相互依赖的研究推进来进行：(1)开发基于MIMO的通用BIC框架，使无线接收器能够在强未知干扰下解码其信号；(2)开发透明的频谱共享方案，允许未协调的网络同时使用相同的频谱；以及(3)将小蜂窝基站集成到多天线Wi-Fi接入点(AP)中，以论证在不同网络(例如Wi-Fi和现有蜂窝网络)之间共享基础设施的可行性。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。在这个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，旨在确保开发的技术适合在真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智力优势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.