面向大规模MIMO下行多用户迫零预编码的交替训练研究

doi:10.11959/j.issn.1000-436x.2023163

Abstract

Abstract:

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.

Key words: massive MIMO, multi-user, channel acquisition, zero-forcing precoding, interleaved training

CLC Number:

TN92

Cheng ZHANG, Minjie DING, Chang LIU, Jing Yindi, Fei YU, Yongming HUANG. Research on interleaved training for massive MIMO downlink with multi-user zero-forcing precoding[J]. Journal on Communications, 2023, 44(9): 58-69.

Figures/Tables 10

References 20

[1]	BJ?RNSON E , LARSSON E G , MARZETTA T L . Massive MIMO:ten myths and one critical question[J]. IEEE Communications Magazine, 2016,54(2): 114-123.
[2]	ALBREEM M A , JUNTTI M , SHAHABUDDIN S . Massive MIMO detection techniques:a survey[J]. IEEE Communications Surveys ＆Tutorials, 2019,21(4): 3109-3132.
[3]	RAMIREDDY V , GROSSMANN M , LANDMANN M ,et al. Enhancements on type-II 5G new radio codebooks for UE mobility scenarios[J]. IEEE Communications Standards Magazine, 2022,6(1): 35-40.
[4]	WANG Z , ZHANG J , DU H ,et al. Extremely large-scale MIMO:fundamentals,challenges,solutions,and future directions[J]. IEEE Wireless Communications, 2023:doi.10.1109/MWC.132.2200443.
[5]	ZHOU L , DAI J S , XU W C ,et al. Sparse channel estimation for intelligent reflecting surface assisted massive MIMO systems[J]. IEEE Transactions on Green Communications and Networking, 2022,6(1): 208-220.
[6]	SHAFI M , ZHANG J H , TATARIA H ,et al. [J]. Microwave vs.millimeter-wave propagation channels:key differences and impact on 5G cellular systems, 2018,56(12): 14-20.
[7]	LIU A , LAU V K N , DAI W . Exploiting burst-sparsity in massive MIMO with partial channel support information[J]. IEEE Transactions on Wireless Communications, 2016,15(11): 7820-7830.
[8]	KUAI X Y , CHEN L , YUAN X J ,et al. Structured turbo compressed sensing for downlink massive MIMO-OFDM channel estimation[J]. IEEE Transactions on Wireless Communications, 2019,18(8): 3813-3826.
[9]	KIM S , CHOI J W , SHIM B . Downlink pilot precoding and compressed channel feedback for FDD-based cell-free systems[J]. IEEE Transactions on Wireless Communications, 2020,19(6): 3658-3672.
[10]	ROSARIO M D , DING Z . Learning-based MIMO channel estimation under practical pilot sparsity and feedback compression[J]. IEEE Transactions on Wireless Communications, 2023,22(2): 1161-1174.
[11]	GUO J J , WEN C K , JIN S . Deep learning-based CSI feedback for beamforming in single- and multi-cell massive MIMO systems[J]. IEEE Journal on Selected Areas in Communications, 2021,39(7): 1872-1884.
[12]	KOYUNCU E , JAFARKHANI H . Interleaving training and limited feedback for point-to-point massive multiple-antenna systems[C]// Proceedings of 2015 IEEE International Symposium on Information Theory (ISIT). Piscataway:IEEE Press, 2015: 1242-1246.
[13]	KOYUNCU E , ZOU X , JAFARKHANI H . Interleaving channel estimation and limited feedback for point-to-point systems with a large number of transmit antennas[J]. IEEE Transactions on Wireless Communications, 2018,17(10): 6762-6774.
[14]	ZHANG C , JING Y D , HUANG Y M ,et al. Interleaved training and training-based transmission design for hybrid massive antenna downlink[J]. IEEE Journal of Selected Topics in Signal Processing, 2018,12(3): 541-556.
[15]	JING Y D , SHAHBAZPANAHI S , YU X W . SINR-based interleaved training design for multi-user massive MIMO downlink with MRT[C]// Proceedings of 2022 IEEE International Conference on Communications. Piscataway:IEEE Press, 2022: 237-242.
[16]	JING Y D , YU X W , SHAHBAZPANAHI S . Interleaved training scheme for multi-user massive MIMO downlink with user sinr constraint[J]. IEEE Transactions on Communications, 2023:doi.10.1109/TCOMM.2023.3292485.
[17]	ZHANG C , JING Y D , HUANG Y M ,et al. Performance analysis for massive MIMO downlink with low complexity approximate zero-forcing precoding[J]. IEEE Transactions on Communications, 2018,66(9): 3848-3864.
[18]	PARFAIT T , KUANG Y J , JERRY K . Performance analysis and comparison of ZF and MRT based downlink massive MIMO systems[C]// Proceedings of 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN). Piscataway:IEEE Press, 2014: 383-388.
[19]	MUIRHEAD R J . Aspects of multivariate statistical theory[M]. New York: John Wiley ＆ Sons, 2009.
[20]	CASELLA G , BERGER R L . Statistical inference[M]. Stanford: Cengage Learning, 2021.

Metrics

Recommended 0

No Suggested Reading articles found!

Research on interleaved training for massive MIMO downlink with multi-user zero-forcing precoding

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 20

Related Articles 15

Metrics

Recommended 0

[1]	Yong LIAO, Shiyi WANG. CSI feedback algorithm based on RM-Net for massive MIMO systems in high-speed mobile environment [J]. Journal on Communications, 2022, 43(5): 166-176.
[2]	Xiaodong YANG, Tian TIAN, Jiaqi WANG, Meijuan LI, Caifen WANG. Certificateless ciphertext retrieval scheme with multi-user and multi-keyword based on cloud-edge collaboration [J]. Journal on Communications, 2022, 43(5): 144-154.
[3]	Gang LIU, Zengjin LOU, Qinhua LIN, Yi GUO. Low complexity signal detection algorithm based on Newton iterative algorithm [J]. Journal on Communications, 2022, 43(2): 109-117.
[4]	Lei ZHANG, Qin WANG. Hybrid precoding based on distributed partially-connected structure for multiuser massive MIMO [J]. Journal on Communications, 2022, 43(1): 104-116.
[5]	Yuan HUANG, Yigang HE, Yuting WU, Tongtong CHENG, Yongbo SUI, Shuguang NING. Deep learning for compressed sensing based sparse channel estimation in FDD massive MIMO systems [J]. Journal on Communications, 2021, 42(8): 61-69.
[6]	Yong LIAO, Shuai WANG, Ning SUN. Intelligent CSI feedback method for fast time-varying FDD massive MIMO system [J]. Journal on Communications, 2021, 42(7): 211-219.
[7]	Rui WANG, Min SHEN, Yun HE, Xiangyan LIU. Research on caching strategy based on transmission delay in Cell-Free massive MIMO systems [J]. Journal on Communications, 2021, 42(12): 134-143.
[8]	Mingyue WANG, Fangwei LI, Xiaorong JING, Haibo ZHANG, Junzhou XIONG. Improved SOR signal detection algorithm in massive MIMO-TRDMA systems [J]. Journal on Communications, 2021, 42(10): 153-161.
[9]	Dong ZHENG, Tianze ZHU, Rui GUO. Public key searchable encryption scheme in blockchain-enabled multi-user environment [J]. Journal on Communications, 2021, 42(10): 140-152.
[10]	Sha XIE,Haoran LI,Lingxiang LI,Zhi CHEN,Shaoqian LI. Survey of terahertz communication technology [J]. Journal on Communications, 2020, 41(5): 168-186.
[11]	Hairong WANG, Jian DONG, Yuhui WANG. Pilot decontamination based on spectrum separation in massive MIMO system [J]. Journal on Communications, 2020, 41(4): 197-205.
[12]	Hongyu ZHAO,Hongyan YAO. Design of hybridly-connected hybrid precoding in millimeter-wave massive MIMO system [J]. Journal on Communications, 2020, 41(3): 45-52.
[13]	Guoquan LI,Xiangyun ZHOU,Jinzhao LIN,Yongjun XU,Yu PANG,Jiacheng WANG. Full-diversity design criterion for multi-user STBC based on integer-forcing detection [J]. Journal on Communications, 2019, 40(3): 139-146.
[14]	Guangyi LIU,Qixing WANG,Jianjun LIU,Fei WANG,Yi ZHENG. Latest progress on 3.5 GHz 5G NR trial [J]. Journal on Communications, 2019, 40(2): 24-30.
[15]	Xiangyu WANG,Jianfeng MA,Yinbin MIAO. Efficient privacy-preserving image retrieval scheme over outsourced data with multi-user [J]. Journal on Communications, 2019, 40(2): 31-39.