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1. 东南大学移动通信全国重点实验室,江苏 南京 210096
2. 网络通信与安全紫金山实验室,江苏 南京 211111
3. 阿尔伯塔大学电气与计算机工程系,埃德蒙顿 T6G1H9
[ "张铖(1988- ),男,安徽望江人,博士,东南大学副研究员、博士生导师,主要研究方向为无线通信系统中的空时信号处理、机器学习辅助的无线通信智能优化技术等" ]
[ "丁敏捷(1998- ),女,江苏高邮人,东南大学硕士生,主要研究方向为低开销大规模MIMO信道获取" ]
[ "刘畅(2000- ),男,安徽亳州人,东南大学硕士生,主要研究方向为低开销大规模MIMO信道获取" ]
[ "Yindi Jing(1978- ),女,博士,阿尔伯塔大学教授,主要研究方向为大规模MIMO 系统、协作中继网络、波束成形、训练设计和信道估计等" ]
[ "俞菲(1980- ),女,江苏南京人,博士,东南大学副教授、硕士生导师,主要研究方向为通信信号处理、人工智能等" ]
[ "黄永明(1977- ),男,江苏吴江人,博士,东南大学教授、博士生导师,主要研究方向为智能5G/6G移动通信、毫米波无线通信等" ]
网络出版日期:2023-09,
纸质出版日期:2023-09-25
移动端阅览
张铖, 丁敏捷, 刘畅, 等. 面向大规模MIMO下行多用户迫零预编码的交替训练研究[J]. 通信学报, 2023,44(9):58-69.
Cheng ZHANG, Minjie DING, Chang LIU, et al. Research on interleaved training for massive MIMO downlink with multi-user zero-forcing precoding[J]. Journal on communications, 2023, 44(9): 58-69.
张铖, 丁敏捷, 刘畅, 等. 面向大规模MIMO下行多用户迫零预编码的交替训练研究[J]. 通信学报, 2023,44(9):58-69. DOI: 10.11959/j.issn.1000-436x.2023163.
Cheng ZHANG, Minjie DING, Chang LIU, et al. Research on interleaved training for massive MIMO downlink with multi-user zero-forcing precoding[J]. Journal on communications, 2023, 44(9): 58-69. DOI: 10.11959/j.issn.1000-436x.2023163.
为解决频分双工大规模 MIMO 的信道获取开销问题,针对服务质量保障与基站采用迫零(ZF)预编码的典型场景,引入对信干噪比(SINR)的监督机制,设计多用户逐根天线交替训练方案。进而考虑交替训练引入的时间开销,设计基于天线分组的多用户交替训练方案。然后推导了2种方案的平均训练长度、传输成功率以及平均有效和频谱效率闭合表达式。理论与仿真揭示了发射功率、SINR 阈值、用户数、分组长度与信道误差水平等参数的影响,并证明相比全训练与部分训练,所提方案可显著降低导频开销,提升传输成功率。
To solve the channel acquisition overhead problem of frequency division duplex massive MIMO
for the typical scenario of zero-forcing (ZF) precoding at the base station with users’ quality of service guarantee
a supervisory mechanism for the signal-to-interference-and-noise ratio (SINR) was introduced
and a multi-user antenna-by-antenna interleaved training scheme was designed.Then
considering the additional time overhead introduced by the interleaved training
a multi-user interleaved training scheme based on antenna grouping was designed.Closed-form expressions of the average training length
transmission success rate
and average effective sum spectrum efficiency were derived for the proposed schemes.Theoretical and simulation results reveal the impact of transmit power
SINR threshold
user number
group length
and the error level of channel on the performance of the proposed schemes
and demonstrate that the proposed schemes significantly reduce the pilot overhead and improve the transmission success rate compared to the full and partial training.
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