The Performance Analysis of Two Conventional Linear Pre-Coding Schemes in Massive MIMO System with Imperfect CSIT

Ren Kai Yu; Jun Xuan Wang; You Ming Sun; Yang Liu

doi:10.4028/www.scientific.net/AMM.668-669.1386

Paper Titles

Realization of SMS4 Algorithm Based on Share Memory of the Heterogeneous Multi-Core Password Chip System
p.1368

Design of Marine Data Warehouse ETL System
p.1374

Research on the Incremental Updating Mechanism of Marine Environmental Data Warehouse
p.1378

Research on the System of Image Acquisition and Wireless Transmission
p.1382

The Performance Analysis of Two Conventional Linear Pre-Coding Schemes in Massive MIMO System with Imperfect CSIT
p.1386

Performance Evaluation of Near Space System for Information Process Based on Multilayer Gray Model
p.1391

The Central Forwarding Mechanism of Residential Gateway
p.1395

Study on Intelligent Augmented Reality Tourist Guide Application Based on Android Smart Phone
p.1399

RETRACTED: Decoupling Replication from the Producer Consumer Problem in Internet QoS
p.1403

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 668-669The Performance Analysis of Two Conventional...

The Performance Analysis of Two Conventional Linear Pre-Coding Schemes in Massive MIMO System with Imperfect CSIT

Abstract:

For this paper, we analyze the achievable sum rate of zero-forcing (ZF) pre-coding and Maximum Ratio Transmission (MRT) pre-coding with Matrix Normalization in massive MIMO system with Imperfect CSIT. We compare the performances of these two pre-codings and find that ZF pre-coding outperforming MRT pre-coding in the high SNR region while MRT pre-coding outperforming ZF pre-coding in the low SNR region. Then we derive the threshold of the pre-coding selection and provide the procedure of pre-coding schemes selection.

You might also be interested in these eBooks

Mechanical Components and Control Engineering III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 668-669)

Pages:

1386-1390

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.668-669.1386

Citation:

Cite this paper

Online since:

October 2014

Authors:

Ren Kai Yu*, Jun Xuan Wang, You Ming Sun, Yang Liu

Keywords:

Imperfect CSIT, Massive MIMO, MRT, Normalization, ZF

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Marzetta T L: Noncooperative cellular wireless with unlimited numbers of base station antennas. [J]. IEEE Transactions on Wireless Communications, 2010, 9(11): 3590-3600.

DOI: 10.1109/twc.2010.092810.091092

Google Scholar

[2] Larsson E G, Tufvesson F, Edfors O, et al: Massive MIMO for Next Generation Wireless Systems。[J]. arXiv preprint arXiv: 1304. 6690, (2013).

Google Scholar

[3] Jose J, Ashikhmin A, Marzetta T L, et al: Pilot contamination and pre-coding in multi-cell TDD systems[J]. IEEE Transactions on Wireless Communications, 2011, 10(8): 2640-2651.

DOI: 10.1109/twc.2011.060711.101155

Google Scholar

[4] Yang H, Marzetta T L: Performance of conjugate and zero-forcing beamforming in large-scale antenna systems[J]. IEEE Journal on Selected Areas in Communications, 2013, 31(2): 172-179.

DOI: 10.1109/jsac.2013.130206

Google Scholar

[5] Ngo H Q, Larsson E G, Marzetta T L: Massive MU-MIMO Downlink TDD Systems with Linear Pre-coding and Downlink Pilots[J]. arXiv preprint arXiv: 1310. 1510, (2013).

DOI: 10.1109/allerton.2013.6736537

Google Scholar

[6] Dai L, Wang Z, Yang Z: Spectrally efficient time-frequency training OFDM for mobile large-scale MIMO systems. [J]. IEEE Journal on Selected Areas in Communications, 2013, 31(2): 251-263.

DOI: 10.1109/jsac.2013.130213

Google Scholar

[7] Lee C, Chae C B, Kim T, et al: Network massive MIMO for cell-boundary users: From a pre-coding normalization perspective[C] 2012 IEEE Globecom Workshops (GC Wkshps),. IEEE, 2012: 233-237.

DOI: 10.1109/glocomw.2012.6477575

Google Scholar

[8] Ngo H Q, Marzetta T L, Larsson E G: Analysis of the pilot contamination effect in very large multicell multiuser MIMO systems for physical channel models. [C] 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011: 3464-3467.

DOI: 10.1109/icassp.2011.5947131

Google Scholar