CAREER: Toward Cooperative Interference Mitigation for Heterogeneous Multi-Hop MIMO Wireless Networks

无线系统数量的不断增长和可用频谱的稀缺性要求在不同的无线网络之间高效地共享频谱。其中许多在硬件功能、无线技术或协议标准方面是异构的。由此产生的跨技术干扰（CTI）如果不能得到适当的缓解，可能会损害共址网络的性能。当前的干扰管理方法大多遵循干扰避免范式，其中传输在频率，时间或空间上分离以实现频谱共享，而不是减少或消除干扰。本项目探讨了协同干扰缓解（CIM），这是异构多跳无线网络之间的一种新的共存范式。通过利用多输入多输出（MIMO）干扰消除（IC）技术的最新进展，所提出的方法允许不同的网络合作地消除/减轻其CTI，以增强每个人的能力。年代的性能。本研究的主要目标是：1)开发可操作的模型/框架，分析异构多跳网络中CIM的理论极限和性能界限，考虑各种形式的网络异构性；2)通过一个新的博弈论框架来研究CIM的激励机制，该框架描述了相互合作的条件，并阻止了自私或恶意的行为；3)利用机器学习工具和隐式系统间通信，设计分布式性能逼近算法来实现CIM，并将其集成到实际的网络/MAC层协议中。预期的结果还包括开发各种模拟工具包和用于实验验证的系统原型。综合教育计划包括跨学科课程开发、学生辅导和外展。提出的研究将对共享频谱资源的非计划异构多跳网络产生广泛影响，例如当前和未来的无许可频段网络，以及电视空白区的二次网络。应用将惠及多个领域，包括医疗保健、能源、应急服务和军事等。主要成果将通过会议和期刊出版物、软件包、讲座和教程传播。

The ever-growing number of wireless systems and the scarcity for available spectrum necessitates highly efficient spectrum sharing among disparate wireless networks. Many of them are heterogeneous in hardware capabilities, wireless technologies, or protocol standards. The resulting cross-technology interference (CTI) can be detrimental to the performance of co-locating networks if not properly mitigated. Current interference management approaches mostly follow the interference-avoidance paradigm, where transmissions are separated in frequency, time, or space to enable spectrum sharing, rather than to reduce or eliminate interference. This project explores cooperative interference mitigation (CIM), a new coexistence paradigm among heterogeneous multi-hop wireless networks. By exploiting recent advances in multi-input multi-output (MIMO) interference cancellation (IC) techniques, the proposed approach allows disparate networks to cooperatively cancel/mitigate their CTI to enhance everyone?s performance. This research focuses on the following objectives: 1) Develop tractable models/frameworks to analyze the theoretical limits and performance bounds of CIM for heterogeneous multi-hop networks, considering various forms of network heterogeneity; 2) Study the incentives of CIM through a novel game theoretic framework, that characterizes the conditions of mutual cooperation and thwarts selfish or malicious behavior; 3) Design distributed performance-approaching algorithms to achieve CIM and integrate them into practical network/MAC layer protocols, by exploiting machine learning tools and implicit inter-system communications. The expected outcomes also include the development of various simulation toolkits and system prototypes for experimental validation. The integrated education plan includes cross-discipline curriculum development, student mentoring and outreach. The proposed research will have broad impacts on unplanned heterogeneous multi-hop networks that share spectrum resources, such as current and future networks in unlicensed bands, and secondary networks in TV white spaces. Applications will benefit multiple domains including healthcare, energy, emergency services and military etc. Major results will be disseminated via conference and journal publications, software packages, talks and tutorials.