大规模MIMO系统容量优化理论方法研究

项目名称： 大规模MIMO系统容量优化理论方法研究

项目编号： No.61301129

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 彭薇

作者单位： 华中科技大学

项目金额： 28万元

中文摘要： 随着天线技术以及集成工艺的发展，大规模MIMO系统成为可能并且将在未来无线通信网络中发挥重要作用。本课题以大规模MIMO系统为研究对象，拟提出更为实际的系统模型并针对实际模型进行信道容量分析并提出适用于大规模MIMO系统的信道估计和多用户检测方法，具体内容包括：(1)通过理论分析评估实际系统信道容量，根据分析结果优化天线配置、载频复用系数等参数。充分利用大规模天线资源、提高频谱效率。(2)根据信道矩阵在频域和空间域的稀疏特性，提出基于压缩感知的信道估计方法，提高信道估计精度、节约计算成本。(3)针对上行多用户信号检测计算复杂度大的问题提出稀疏检测和次优检测相结合的检测方法，在不损失检测精度的前提下降低计算复杂度。另外，我们将搭建实验系统来验证研究结果。本课题兼有理论研究价值和实际应用价值，研究成果可为实际系统提供理论指导，并为系统参数设计及优化提供依据。

中文关键词： 大规模MIMO；频谱效率；信道估计；非正交接入；预编码

英文摘要： Massive MIMO has been proposed recently and has attracted a lot of interests from both academic world and industry. It has been proved that under the assumption of unlimited number of antennas at the base station, the spectrum efficiency can be increased greatly while on the other hand, the transmit power can be significantly reduced without sacrificing the quality of service. Due to these facts, massive MIMO has been considered as a powerful candidate for the future wireless communication system. However, there remain a lot of open issues about massive MIMO. The capacity analyses in the literatures used an ideal system model and important parameters such as correlation among antennas and co-channel interference have not been addressed properly. The channel estimation algorithms for the downlink communication assume pilot-aided channel estimation at mobile terminals and feedback of the compressed channel state information. Such algorithms utilize the valuable bandwidth resource and suffer from the additional noise at the uplink receiver. As a result, the channel estimators become inaccurate and spectrally inefficient. In the uplink transmission, multi-user detection becomes extremely computational complicated due to the large number of users and low-complexity detection algorithms have not yet been reported acco

英文关键词： Massive MIMO；spectrum efficiency；channel estimation；non-orthogonal multiple access；precoding