超大规模MIMO-OTFS系统上行辅助的下行信道估计方法

蒲旭敏; 邓凯元; 陈前斌

doi:10.11959/j.issn.2096-3750.2023.00351

您当前的位置：

首页 >

文章列表页 >

超大规模MIMO-OTFS系统上行辅助的下行信道估计方法

理论与技术 | 更新时间：2024-08-16

- 超大规模MIMO-OTFS系统上行辅助的下行信道估计方法
- Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system
- 物联网学报 2023年7卷第4期页码：28-38
- 作者机构：
  
  1. 东南大学移动通信国家重点实验室，江苏南京 210096
  2. 重庆邮电大学通信与信息工程学院，重庆 400065
- 作者简介：
  
  [ "蒲旭敏（1983- ），男，东南大学移动通信国家重点实验室在站博士后，重庆邮电大学副教授，主要研究方向为超大规模MIMO信号处理和信息传输理论等无线通信技术研究" ]
  [ "邓凯元（1998- ），男，重庆邮电大学通信与信息工程学院硕士生，主要研究方向为超大规模 MIMO、信道估计在物联网技术中的应用等" ]
  [ "陈前斌（1967- ），男，重庆邮电大学教授、博士生导师，主要研究方向为个人通信、多媒体信息处理与传输、下一代移动通信网络等" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61701062);中国博士后科学基金资助项目;The China Postdoctoral Science Foundation(2019M651649);江苏省博士后科研基金资助项目;The Jiangsu Planned Projects for Postdoctoral Research Funds(2018K041c);重庆市教育委员会科学技术研究项目;The Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN202100649);重庆市教育委员会科学技术研究项目;The Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN202000612)
- DOI：10.11959/j.issn.2096-3750.2023.00351
  中图分类号： TN929.5
- 纸质出版日期：2023-12-20，
  
  网络出版日期：2023-12，
- 稿件说明：
移动端阅览
蒲旭敏, 邓凯元, 陈前斌. 超大规模MIMO-OTFS系统上行辅助的下行信道估计方法[J]. 物联网学报, 2023,7(4):28-38.

XUMIN PU, KAIYUAN DENG, QIANBIN CHEN. Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system. [J]. Chinese journal on internet of things, 2023, 7(4): 28-38.
蒲旭敏, 邓凯元, 陈前斌. 超大规模MIMO-OTFS系统上行辅助的下行信道估计方法[J]. 物联网学报, 2023,7(4):28-38. DOI： 10.11959/j.issn.2096-3750.2023.00351.

XUMIN PU, KAIYUAN DENG, QIANBIN CHEN. Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system. [J]. Chinese journal on internet of things, 2023, 7(4): 28-38. DOI： 10.11959/j.issn.2096-3750.2023.00351.

摘要

针对超大规模多输入多输出（MIMO

multiple-input multiple-output）正交时频空间（OTFS

orthogonal time frequency space）系统，提出了一种适用于高速移动场景的低复杂度下行信道估计方法。不同于现有研究，该方法考虑了超大规模MIMO-OTFS系统显著的空间非平稳特性，基于可视路径区域提出了一种低复杂度的增强型稀疏正交匹配追踪算法，利用频分双工（FDD

frequency-division duplex）模式中上下行信道的映射关系实现上行辅助的下行信道估计。仿真结果表明，所提上行辅助的下行信道估计方法能够充分考虑信道非平稳特性，在降低计算复杂度的同时显著提高信道估计性能，并且在高速移动物联网场景下表现良好。

Abstract

A low complexity downlink channel estimation method for high-speed mobile scenarios was proposed for the extra-large scale multiple-input multiple-output (MIMO) orthogonal time-frequency space (OTFS) system.Different from the existing studies

the proposed method considers the significant spatial non-stationary characteristics of extra-large scale MIMO-OTFS system.Based on the visible path region

an enhanced sparse orthogonal matching pursuit (OMP) algorithm with low complexity was proposed

uplink-assisted downlink channel estimation was achieved using the mapping relationship between the uplink and downlink channels in the frequency-division duplex (FDD) mode.Simulation results show that the proposed uplink-assisted downlink channel estimation method can accurately represent the non-stationary of the system

and achieve significant improvement in the channel estimation performance while reducing the computational complexity

and still perform well in high-mobility IoT scenarios.

关键词

物联网正交时频空间调制超大规模多输入多输出频分双工信道估计

Keywords

IoTorthogonal time frequency space modulationextra-large scale MIMOfrequency division duplexchannel estimation

references

IMT-2030 (6G) 推进组. 6G 总体愿景与潜在关键技术白皮书[R]. 2021.

IMT-2030 (6G) Promotion Group. 6G overall vision and potential key technologies white paper[R]. 2021.

SHANG H C, CHEN R F, ZHANG H X ,et al. OTFS modulation and PAPR reduction for IoT-railways[J]. China Communications, 2023,20(1): 102-113.

VO V N, LONG N Q, DANG V H ,et al. Physical layer security in cognitive radio networks for IoT using UAV with reconfigurable intelligent surfaces[C]// Proceedings of 2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE). Piscataway:IEEE Press, 2021: 1-5.

XIANG Y Y, XU K, XIA B Y ,et al. Bayesian joint channel-and-data estimation for quantized OFDM over doubly selective channels[J]. IEEE Transactions on Wireless Communications, 2023,22(3): 1523-1536.

HADANI R, RAKIB S, TSATSANIS M ,et al. Orthogonal time frequency space modulation[C]// Proceedings of 2017 IEEE Wireless Communications and Networking Conference (WCNC). Piscataway:IEEE Press, 2017: 1-6.

TAO Q, ZHANG S, ZHONG C ,et al. Weighted sum-rate of intelligent reflecting surface aided multiuser downlink transmission with statistical CSI[J]. IEEE Transactions on Wireless Communications, 2022,21(7): 4925-4937.

SHI Z H, WANG Q X, JIN J ,et al. Achievability of the channel reciprocity and its benefit in TDD system[C]// Proceedings of the 5th International ICST Conference on Communications and Networking in China. Piscataway:IEEE Press, 2010: 1-4.

ZHONG Z M, FAN L, GE S B . FDD massive MIMO uplink and downlink channel reciprocity properties:full or partial reciprocity?[C]// Proceedings of GLOBECOM 2020 - 2020 IEEE Global Communications Conference. Piscataway:IEEE Press, 2021: 1-5.

ASIF A, MAURIZIO M, NASRULLAH P ,et al. Direction of arrival and least square error technique used in massive MIMO for channel estimation[J]. International Journal of Mathematics and Computer Science, 2021,16(2): 647-657.

AKBARPOUR-KASGARI A, ARDEBILIPOUR M . Massive MIMO-OFDM channel estimation via distributed compressed sensing[J]. IEEE Wireless Communications Letters, 2019,8(2): 376-379.

CARVALHO E D, ALI A, AMIRI A ,et al. Non-stationarities in extra-large-scale massive MIMO[J]. IEEE Wireless Communications, 2020,27(4): 74-80.

KOLLENGODE RAMACHANDRAN M, CHOCKALINGAM A . MIMO-OTFS in high-Doppler fading channels:signal detection and channel estimation[C]// Proceedings of 2018 IEEE Global Communications Conference (GLOBECOM). Piscataway:IEEE Press, 2019: 206-212.

HUANG Z Y, CAO S, WEI H ,et al. Research on channel estimation algorithm based on OTFS system[C]// Proceedings of 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC). Piscataway:IEEE Press, 2022: 352-356.

SHI D, WANG W J, YOU L ,et al. Deterministic pilot design and channel estimation for downlink massive MIMO-OTFS systems in presence of the fractional Doppler[J]. IEEE Transactions on Wireless Communications, 2021,20(11): 7151-7165.

RASHEED O K, SURABHI G D, CHOCKALINGAM A . Sparse delay-Doppler channel estimation in rapidly time-varying channels for multiuser OTFS on the uplink[C]// Proceedings of 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). Piscataway:IEEE Press, 2020: 1-5.

SHEN W Q, DAI L L, HAN S F ,et al. Channel estimation for orthogonal time frequency space (OTFS) massive MIMO[C]// Proceedings of ICC 2019 - 2019 IEEE International Conference on Communications (ICC). Piscataway:IEEE Press, 2019: 1-6.

PENG W, LI W G, WANG W ,et al. Downlink channel prediction for time-varying FDD massive MIMO systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2019,13(5): 1090-1102.

HAN Y, HSU T H, WEN C K ,et al. Efficient downlink channel reconstruction for FDD multi-antenna systems[J]. IEEE Transactions on Wireless Communications, 2019,18(6): 3161-3176.

HUGL K, KALLIOLA K, LAURILA J . Spatial reciprocity of uplink and downlink radio channels in FDD systems[C]// Eur.Cooper.Sci.Technol.(EURO-COST). Piscataway:IEEE Press, 2002,273(2): 066.

QIN Z A, YIN H F, CAO Y D ,et al. A partial reciprocity-based channel prediction framework for FDD massive MIMO with high mobility[J]. IEEE Transactions on Wireless Communications, 2022,21(11): 9638-9652.

LIU Y S, ZHANG S, GAO F F ,et al. Uplink-aided high mobility downlink channel estimation over massive MIMO-OTFS system[J]. IEEE Journal on Selected Areas in Communications, 2020,38(9): 1994-2009.

LIU F, YUAN Z D, GUO Q H ,et al. Message passing-based structured sparse signal recovery for estimation of OTFS channels with fractional Doppler shifts[J]. IEEE Transactions on Wireless Communications, 2021,20(12): 7773-7785.

WANG H Q, KOSASIH A, WEN C K ,et al. Expectation propagation detector for extra-large scale massive MIMO[J]. IEEE Transactions on Wireless Communications, 2020,19(3): 2036-2051.

ALI A, CARVALHO E D, HEATH R W . Linear receivers in non-stationary massive MIMO channels with visibility regions[J]. IEEE Wireless Communications Letters, 2019,8(3): 885-888.

HAN Y, JIN S, WEN C K ,et al. Channel estimation for extremely large-scale massive MIMO systems[J]. IEEE Wireless Communications Letters, 2020,9(5): 633-637.

WAN L, QIANG X Z, MA L ,et al. Accurate and efficient path delay estimation in OMP based sparse channel estimation for OFDM with equispaced pilots[J]. IEEE Wireless Communications Letters, 2019,8(1): 117-120.

HAN Y, LIU Q, WEN C K ,et al. Tracking FDD massive MIMO downlink channels by exploiting delay and angular reciprocity[J]. IEEE Journal of Selected Topics in Signal Processing, 2019,13(5): 1062-1076.

IMTIAZ S, DAHMAN G S, RUSEK F ,et al. On the directional reciprocity of uplink and downlink channels in frequency division duplex systems[C]// Proceedings of 2014 IEEE 25th Annual International Symposium on Personal,Indoor,and Mobile Radio Communication (PIMRC). Piscataway:IEEE Press, 2015: 172-176.

GUO W, ZHANG W L, MU P C ,et al. High-mobility wideband massive MIMO communications:Doppler compensation,analysis and scaling laws[J]. IEEE Transactions on Wireless Communications, 2019,18(6): 3177-3191.

LEE Y S, BANG Y J, LEE J H ,et al. LS channel estimation performance analysis for RoF channel environment in the OFDM system[C]// Proceedings of 2014 12th International Conference on Optical Internet 2014 (COIN). Piscataway:IEEE Press, 2014: 1-2.

BAI X J, GUAN L, ZHAO C ,et al. Massive MIMO channel estimation based on compressed sensing[J]. Journal of Physics:Conference Series, 2021,2010(1): 012099.

TRIPATHI P, SHUKLA S K, BHATT A . Performance of channel estimating approach in mobile OFDM system[C]// Proceedings of 2021 International Conference on Advances in Electrical,Computing,Communication and Sustainable Technologies (ICAECT). Piscataway:IEEE Press, 2021: 1-4.

浏览量

423

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

面向6G的生成对抗网络研究进展综述

认证加密算法SM4-GCM的低成本硬件架构设计与实现

基于最优运输理论的蜂窝网边缘卸载时延优化研究

基于可穿戴与可植入技术的人体健康物联网研究进展

物联网环境下基于区块链技术的私有数据访问控制模型