Dynamic reconfigurable RF system for MIMO 5G applications

适用于 MIMO 5G 应用的动态可重构射频系统

• 批准号: 2106642
• 金额: --
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2106642
• 关键词: Dynamic; reconfigurable; RF; system; MIMO

The aim of the project would be to develop and optimise the latest algorithms targeting 5G communication on the latest reconfigurable platform designed by Alpha Data, based on the Xilinx Zynq RFSoC device that integrates ARM CPUs, FPGA Fabric and RF-ADC/RF-DAC into a single IC. Specific algorithms that will be considered will be those targeting multiple antenna systems requiring sophisticated beamforming techniques on-the-fly, that can be dynamically changed through reconfiguration of the FPGA DSP Fabric and RF interface. The algorithms will be optimised in terms of area, power, and performance.The research will be done in cooperation with Alpha Data, a leading supplier of COTS FPGA acceleration and interface cards for the Embedded and Data Centre markets. Based in Edinburgh since 1993, and Denver since 2007, the company specializes in providing early to market reconfigurable computing modules that can be used to develop solutions and then deploy them on the same hardware. Customers range from hyper-scale data centres and major communications, aerospace and defence giants to machine learning start-ups and academic and scientific institutions.

该项目的目的是基于Alpha Data设计的最新可重新配置平台，基于Xilinx Zynq RFSOC设备，以5G通信为目标5G通信，该算法将ARM CPU，FPGA面料和RF-ADC/RF-DAC集成到IMFSOC上。一个IC。将要考虑的特定算法将是针对需要精致的光束成型技术的多个天线系统的算法，可以通过重新配置FPGA DSP织物和RF界面来动态更改。该算法将根据面积，功率和性能进行优化。研究将与Alpha Data合作进行，Alpha Data是COTS FPGA加速度的领先供应商和嵌入式和数据中心市场的接口卡。该公司自1993年以来一直位于爱丁堡，并自2007年以来一直在丹佛（Denver）提供，专门为市场重新配置的计算模块提供，可用于开发解决方案，然后将其部署在同一硬件上。客户范围从高等数据中心以及主要的通信，航空航天和国防巨头到机器学习初创企业以及学术和科学机构。

项目成果

A Real-Time Deep Learning OFDM Receiver

• DOI: 10.1145/3494049
• 发表时间: 2021-12
• 期刊: ACM Transactions on Reconfigurable Technology and Systems (TRETS)
• 作者: Stefan Brennsteiner;T. Arslan;J. Thompson;A. McCormick

Evaluation of Partially Constant, Fine-Grained, Dynamic Partial Reconfigurable Functions in FPGAs

FPGA 中部分恒定、细粒度、动态部分可重构功能的评估

• DOI: 10.1109/icfpt47387.2019.00064
• 发表时间: 2019
• 作者: Brennsteiner S