CNS Core: Small: Collaborative Research: Many-Antenna Full-Duplex for Mobile and Multihop Topologies

智能设备（如智能手机、联网车辆和可穿戴设备）数量的急剧增长以及由此产生的移动数据流量的指数级增长增加了对更高容量无线网络的需求。因此，无线研究团体正在寻找更有效地利用可用频谱的技术。提高频谱效率的一个重要方法是在无线设备上使用更多的天线，并允许它们在全双工模式下工作。然而，随着天线数量的增加，无线通信变得有方向性，这使得支持移动设备变得更加困难。全双工通信也增加了干扰，这就需要设计新的算法来管理干扰。该项目的目标是开发理论和实践方法，以保持具有多天线的移动设备的多跳拓扑中的全双工频谱效率增益。该项目的研究成果将被整合到多所大学的无线网络课程中。项目团队将与业界伙伴紧密合作，将研究成果转化为工业成果。研究人员将在他们的研究中涉及本科生和代表性不足的人群，以鼓励他们进入科学和工程领域。拟议的工作有三个主要目标：(i)消除自干扰。该项目团队将开发新的自干扰消除技术，以在多天线无线系统中实现全双工。流动支助。项目团队将设计新的波束跟踪技术，以更好地支持移动用户。该算法将增强上下文感知，以减少跟踪开销并提高用户服务质量。（iii）多跳频谱效率：项目团队将开发联合波束成形、调度和路由算法，以管理干扰，并在具有单跳或多跳流量的多天线全双工节点网络中保持全双工频谱效率增益。每一项研究都将产生新的定理、算法和协议。这些理论方面将通过可编程无线硬件的模拟和实验进行评估，以表征端到端系统在各种现实世界环境中的优势。该奖项反映了美国国家科学基金会的法定使命，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。

The dramatic growth in the number of smart devices (e.g., smartphones, connected vehicles, and wearables) and the resulting exponential growth in mobile data traffic has increased the need for higher capacity wireless networks. Thus, the wireless research community is searching for technologies to use the available spectrum more efficiently. One prominent approach to increase spectral efficiency is to use more antennas on wireless devices and allow them to operate in full-duplex mode. However, as the number of antennas increases, wireless communication becomes directional, which makes it harder to support mobile devices. Full-duplex communication also increases interference, which necessitates design of new algorithms to manage interference. The goal of this project is to develop theoretical and practical methods to maintain full-duplex spectral efficiency gains in multihop topologies of mobile devices with multiple antennas. The findings from this project will be integrated into wireless networking courses across multiple universities. The project team will work closely with their industry partners to transfer the results of their research to industry. The researchers will involve both undergraduate and underrepresented populations in their research to encourage them to enter science and engineering fields. The proposed work has three main objectives: (i) Self-Interference Cancellation. The project team will derive new self-interference cancellation techniques to enable full-duplex in many-antenna wireless systems. (ii) Mobility Support. The project team will design new beam tracking technologies to better support mobile users. The algorithms will be augmented with contextual awareness to reduce tracking overhead and increase users' quality of service. (iii) Multihop Spectral Efficiency: The project team will develop joint beamforming, scheduling, and routing algorithms to manage interference and maintain full-duplex spectral efficiency gains in a network of many-antenna full-duplex nodes with single or multihop traffic flows. Each research thrust will result in new theorems, algorithms, and protocols. These theoretical aspects will be evaluated through simulations and experimentation on programmable wireless hardware to characterize the end-to-end system benefits in a variety of real-world settings.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.