SpecEES: Toward Spectral and Energy Efficient Cross-Layer Designs for Millimeter-Wave-Based Massive MIMO Networks

毫米波（mmWave）和大规模MIMO（M-MIMO）技术具有影响未来5G无线网络的强大潜力，并支持比当前4G LTE无线通信高50倍的数据速率。因此，5G多千兆位无线网络有望实现无数应用（例如，物联网、虚拟/增强现实等）。然而，毫米波信号的高度定向传播和特殊的毫米波硬件要求为基于毫米波的M-MIMO网络系统带来了基本的技术挑战，这些系统可能需要一个全新的硬件和软件波束成形架构。鉴于这些挑战，该研究计划的目标是推进毫米波和M-MIMO无线网络的硬件设计和理论基础方面的知识。通过探索毫米波M-MIMO无线网络的新硬件-软件技术，该研究计划旨在满足毫米波通信，信号处理，网络和控制研究社区的关键需求。 在更广泛的影响方面，PI计划将研究结果纳入研究生课程，并开发关于毫米波和M-MIMO通信网络基础的新专题课程。本科生和高中生的参与也计划，目的是提供在射频组件，通信，网络，控制和信号处理技术的实践经验。拟议的研究解决毫米波大型天线阵列和通信网络的基础问题，在理论和实践上都有潜在的突破，使未来的多媒体技术能够取得成功，千兆位无线通信和相关的网络应用。该研究计划涵盖通信和信号处理的广泛领域，通过统一的研究计划建立对毫米波M-MIMO网络的网络级理解，其中包括开发和探索：i）易于处理的理论模型，ii）理论性能界限和容量限制，以及iii）低复杂度算法。 该项目的新奇在于通过在射频前端引入新的算法来联合波束训练和调度算法，以及利用子阵列聚类来增加吞吐量和降低能耗。PI的工作围绕三个相互依存的研究重点进行组织：i）收发器和波束成形架构，在频率调谐方面提供了很大的灵活性，并在多个指标上实现了高性能，ii）基于毫米波子阵列集群的频谱效率优化算法，以及iii）基于毫米波子阵列集群的能效调度算法。除了理论研究，PI计划通过广泛的模拟，跟踪驱动的仿真和现场测试来验证分析技术和模型。

Millimeter-wave (mmWave) and Massive MIMO (M-MIMO) technologies have strong potential to impact future 5G wireless networks and support data rates 50 times greater than the current 4G LTE wireless communications. As such, 5G multi-Gigabit wireless networks are poised to enable a myriad of applications for (e.g., Internet-of-Things, virtual/augmented reality, etc.). However, the highly directional propagation of mmWave signals and the special mmWave hardware requirements introduce fundamental technical challenges for mmWave-based M-MIMO network systems that may require a clean-slate of hardware and software beamforming architectures. In light of these challenges, the goal of this research program is to advance knowledge in both hardware design and theoretical foundations of mmWave and M-MIMO wireless networks. By exploring new hardware-software technologies for mmWave M-MIMO wireless networks, this research program is envisioned to serve a critical need in mmWave communications, signal processing, networking, and control research communities. In terms of broader impacts, the PIs plan to incorporate findings into graduate courses and develop new special topic courses on the fundamentals of mmWave and M-MIMO communication networks. Engagement of undergrad and high school students is also planned with the aim to provide hands-on experience in RF components, communications, networking, control, and signal processing techniques.The proposed research address foundational problems in mmWave large antenna arrays and communication networks, with potential breakthroughs in both theory and practice to enable the success of on future multi-Gigabit wireless communications and associated networking applications. This research program spans broad areas of communications and signal processing to establish a network-level understanding of mmWave M-MIMO networks through a unified research program, which includes the development and exploration of: i) tractable theoretical models, ii) theoretical performance bounds and capacity limits, and iii) low-complexity algorithms. The novelty of this project lies in the joint beam training and scheduling algorithms through the introduction of novel algorithms in the radio-frequency front-end, and in the exploitation of subarray clustering to increase throughput and reduce energy consumption. The PIs' efforts are organized around three interdependent research thrusts: i) Transceiver and beamforming architectures that offer large agility in frequency tuning and high performance at several metrics, ii) Spectral-efficiency optimization algorithms based on mmWave-based subarray clustering, and iii) Energy-efficiency scheduling algorithms based on mmWave-based subarray clustering. In addition to theoretical studies, the PIs plan to validate the analytical techniques and models via extensive simulations, trace-driven emulations, and field tests.