超大规模多输入多输出(Extra-Large Scale Multiple-Input Multiple-Output，XL-MIMO)是未来的第六代移动通信(The 6th Generation Mobile Communication Technology，6G)关键技术之一，但是由于XL-MIMO系统采用了超大规模天线阵列，其信号处理需求非常庞大，增加了计算复杂度。这对信号的检测算法有了更高的要求，由此对XL-MIMO系统中低复杂度算法进行研究是十分重要的。首先介绍了XL-MIMO系统信道模型，然后引入了预编码技术，将随机Kaczmarz算法和传统的MMSE算法在完美非平稳信道的归一化传输功率的误码率情况、用户数量复杂度情况、天线数量复杂度情况进行了仿真分析与比较。结果表明随机Kaczmarz算法具有更低的计算复杂度，并且是一种可以准确实现的快速算法。
Simulation and Implementation of the Random Kaczmarz Algorithm in XL-MIMO Systems
Extra-Large Scale Multiple-Input Multiple-Output(XL-MIMO)is one of the key technologies for future 6th Genera-tion Mobile Communication Technology(6G).However,due to the use of an extra-large antenna array,XL-MIMO systems have ex-tremely high signal processing demands,which increase the computational complexity.This has led to a higher requirement for sig-nal detection algorithms,making research on low-complexity algorithms in XL-MIMO systems critically important.This paper first introduces the channel model of an XL-MIMO system,and then presents the precoding technique.Simulation analyses and compari-sons of the random Kaczmarz algorithm and the traditional Minimum Mean Square Error(MMSE)algorithm are conducted in terms of normalized transmission power error rates,user number complexity,and antenna number complexity under perfect non-stationary channels.The results show that the random Kaczmarz algorithm has lower computational complexity and is a fast algorithm that can be accurately implemented.
Extra-Scale Multiple-Input Multiple-Outputnon-stationarity of space6Grandom Kaczmarz algorithmMMSE algorithm
万方数据
维普
