Hardware Efficient Multi-antenna Transceivers

该项目旨在提高第五代无线网络(5G)多天线收发器的能效并降低射频(RF)成本。利用信息论、射频电路理论、统计物理的分析工具，并借助射频软件工具，研究新的节能、低成本的多天线收发信机方案。该项目包括具有高功率效率和低射频成本的硬件架构，以及允许硬件高效多天线收发器的信令方法。将对文献中发现的用于毫米波(毫米波)和微波频段的各种模拟-数字(HAD)混合收发信机方案进行比较，并研究它们的基本限制。此外，还将研究新颖的HAD体系结构，重点是反射阵列。HAD架构将通过适当的分析和射频仿真工具进行分析。6 GHz以下的大规模多输入多输出(MIMO)系统和毫米波通信都将被考虑使用适当的信道模型。该项目的结果将是一些新的硬件架构，用于基站和用户终端应用的多天线收发机，与现有技术相比，具有更高的能效和更低的射频成本。此外，还将给出此类结构的分析和仿真结果。在硬件结构的基础上，通过引用统计物理中的复制方法，解析地研究允许硬件高效的多天线收发机的预编码和信令方法，包括恒包络预编码和峰值功率受限预编码。此外，这种分析方法将被用于多天线基站中的预编码和天线选择，以预测最佳天线选择的性能。最后，针对这些预编码方案提出了新的低复杂度算法，并将在5G中实现。

This project aims to increase the energy efficiency and to reduce the radio-frequency (RF)-cost of multi-antenna transceivers for the fifth generation of wireless networks (5G). Novel energy- and cost-efficient schemes for multi-antenna transceivers will be studied by means of analytical tools from information theory, RF circuit theory, statistical physics, and also with the help of RF software tools. This project encompasses hardware architectures with high power efficiency and low RF-cost, as well as signaling methods allowing for hardware efficient multi-antenna transceivers. Various schemes of Hybrid Analog-Digital (HAD) transceivers for millimeter wave (mmWave) and microwave frequency bands found in literature will be compared and their fundamental limits will be investigated. In addition, novel HAD architectures will be investigated with particular emphasis on reflect arrays. HAD architectures will be analyzed by appropriate analytical and RF simulation tools. Both massive multiple-input multiple-output (MIMO) systems below 6 GHz and mmWave communication will be considered utilizing appropriate channel models. The project results will be some new hardware architectures for multi-antenna transceivers for both base station and user terminal applications with improved energy efficiency and reduced RF-cost compared to the state of the art. Furthermore, analytical and simulation results of such architectures will be provided.Along with hardware architectures, precoding and signaling methods allowing for hardware efficient multi-antenna transceivers including constant envelope and peak power-limited pre-coding will be analytically investigated by invoking the replica method from statistical physics. Furthermore, this method of analysis will be used for precoding with antenna selection in multi-antenna base stations to predict the performance of optimal antenna selection. Finally, novel low-complexity algorithms for these precoding schemes will be proposed for implemention in 5G.