System-level Simulation and Performance Evaluation for 6G Ultra Massive MIMO

被引：0
|
作者：
Guo, Jing [1 ]
Gao, Lei [1 ]
Li, Nanxi [1 ]
Yang, Shan [1 ]
Zhu, Jianchi [1 ]
She, Xiaoming [1 ]
Wang, Jianxiu [1 ]
Chen, Peng [1 ]
机构：
[1] China Telecom Res Inst, Beijing 102209, Peoples R China
来源：
2023 IEEE 97TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-SPRING | 2023年
基金：
国家重点研发计划;
关键词：
6G; Ultra Massive MIMO; OpenMP; Eigen; Performance evaluation;
D O I：
10.1109/VTC2023-Spring57618.2023.10199530
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Ultra Massive MIMO is one of the potential key technologies in 6G, which attracts widespread attention from academia and industry recently. Generally, the system-level simulation is essential to evaluate the performance of Ultra Massive MIMO. However, due to ultra-large-scale antennas and extremely high concurrency, the computation complexity is pretty high, which makes the simulation workload unbearable. To deal with this issue, we propose a two-level parallel optimization via OpenMP and Eigen to drastically promote the simulation efficiency in this paper. Moreover, we provide a comprehensive insight on 6G system-level evaluation platform with modular architecture and parallel computing. It is validated that our simulation platform has the capability of evaluating 6G Ultra Massive MIMO technology and the simulation efficiency can be improved by more than 20 times than that of without parallelization. Based on the simulation results, it is shown that the UE experienced data rate can be increased up to 10 times than that of 5G, which can meet the requirement of 6G.
引用
收藏
页数：6
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