Hardware Efficient Multi-antenna Transceivers

该项目旨在提高第五代无线网络（5G）的多天线收发器的能效并降低其射频（RF）成本。新的能源和成本效益的多天线收发器的方案将通过信息理论，RF电路理论，统计物理分析工具，并与RF软件工具的帮助下进行研究。该项目包括具有高功率效率和低RF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。将比较文献中发现的毫米波（mmWave）和微波频段的混合模数（HAD）收发器的各种方案，并研究其基本限制。此外，新的HAD架构将进行调查，特别强调反射阵列。HAD架构将通过适当的分析和RF仿真工具进行分析。 6GHz以下的大规模多输入多输出（MIMO）系统和毫米波通信都将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器，与现有技术相比，具有提高的能量效率和降低的RF成本。此外，将提供这种架构的分析和仿真结果。沿着硬件架构，允许硬件高效的多天线收发器的预编码和信令方法，包括恒定包络和峰值功率受限的预编码，编码将通过调用统计物理学的复制方法进行分析研究。此外，该分析方法将用于多天线基站中的具有天线选择的预编码，以预测最优天线选择的性能。最后，将提出用于这些预编码方案的新型低复杂度算法，以在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.