Research Equipment for Intelligent Signal Processing on Millimeter Wave MIMO Communication in 5G Networks

5G网络毫米波MIMO通信智能信号处理研究设备

• 批准号: RTI-2018-00983
• 负责人: Zhu, WeiPing
• 金额: $ 7.94万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=642315
• 关键词: Research; Equipment; Intelligent; Signal; Processing

Motivated by the increasing demands for better services in the fifth-generation (5G) wireless networks such as higher transmission rate, link reliability, ubiquitous access to internet etc, the multi-input multi-output (MIMO) system operating at millimeter wave frequencies (30GHz-300GHz) has recently received a great deal of attention. However, MIMO (especially when the number of antennas increases) has been constrained by the need of extensive channel state information for all links and transmitting pilot signals in the uplink for channel estimation becomes a resource-consuming and challenging task. Moreover, the sparse channel under millimeter wave frequencies presents a unique concern in the field of signal processing and communication. As such, it is imperative to develop intelligent signal processing techniques for millimeter wave enabled MIMO or massive MIMO systems to be applied in upcoming 5G networks. My current Discover project is focused on the development of robust and energy efficient signal processing techniques for multi-user massive MIMO systems. The main objective of this research is to maximize the transmission reliability, spectral usage and energy efficiency of massive MIMO networks under realistic channel conditions. However, the algorithms developed under the Discovery project are largely academic due to the lack of real channel measurements and real-time testbed. Also, the non-linear power amplifiers, practical antennas, and distortions introduced by the feed lines could not be accurately modeled.

随着对第五代（5G）无线网络中更好的服务（例如更高的传输速率、链路可靠性、无处不在的互联网接入等）的需求的增加，工作在毫米波频率（30 GHz-300 GHz）的多输入多输出（MIMO）系统最近受到了极大的关注。然而，MIMO（特别是当天线数量增加时）已经受到所有链路的广泛信道状态信息的需要的约束，并且在上行链路中发送导频信号以用于信道估计变成了消耗资源且具有挑战性的任务。此外，毫米波频率下的稀疏信道在信号处理和通信领域中呈现出独特的关注点。因此，必须开发用于毫米波MIMO或大规模MIMO系统的智能信号处理技术，以应用于即将到来的5G网络。我目前的Discover项目专注于为多用户大规模MIMO系统开发鲁棒且节能的信号处理技术。本研究的主要目标是在实际信道条件下最大限度地提高大规模MIMO网络的传输可靠性、频谱利用率和能量效率。然而，由于缺乏真实的信道测量和实时测试平台，在Discovery项目下开发的算法主要是学术性的。此外，非线性功率放大器，实际的天线，和失真所引入的馈线不能准确地建模。