A Precoding Strategy for Massive MIMO System

Hong Zhang; Dong Lai Hao; Xiang Yang Liu

doi:10.4028/www.scientific.net/AMM.568-570.1278

Paper Titles

A Beamforming Pilots Scheme for Massive MIMO System
p.1259

A High Efficient and Robust Adaptive Coding and Modulation Algorithm for Ka Band Satellite Communications
p.1263

A New Channel Assignment Algorithm in Wireless Mesh Network
p.1268

A Novel DSR-Based Protocol for Small Reconnaissance UAV Ad Hoc Network
p.1272

A Precoding Strategy for Massive MIMO System
p.1278

A Terrestrial Digital Broadcasting and Positioning System Based on Overlap Communication
p.1282

An Compensation Method of Polymer Arrayed Waveguide Grating
p.1287

Approaches on the Calibration of Laser Diode (LD) Tester
p.1292

Fiber-Optics Data Transmission for a Gyro Stabilized Platform
p.1298

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 568-570A Precoding Strategy for Massive MIMO System

A Precoding Strategy for Massive MIMO System

Abstract:

The computational precoding complexity increases with its dimensions in massive multiple-input multiple-output system. A precoding scheme based on the truncated polynomial expansion is proposed, the hardware implementation is described for the superiority of the algorithm compared with the conventional regularized zero forcing precoding. Finally, under different channel conditions, the simulation results show that the average achievable rate will increase infinitely approaches the regularized zero forcing precoding simulation in a certain order, the polynomial order does not need to scale with the system dimensions.

You might also be interested in these eBooks

Measurement Technology and its Application III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 568-570)

Pages:

1278-1281

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.568-570.1278

Citation:

Cite this paper

Online since:

June 2014

Authors:

Hong Zhang*, Dong Lai Hao, Xiang Yang Liu

Keywords:

Massive MIMO, Precoding, Regularized Zero-Forcing, Truncated Polynomial Expansion

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] T.L. MARZETTA. Noncooperative cellular wireless with unlimited numbers of base station antennas [J]. IEEE Trans. Commun. 2010, 9(11): 3590–3600.

DOI: 10.1109/twc.2010.092810.091092

Google Scholar

[2] W. HACHEM, O. KHORUNZHY, P. LOUBATON, J. NAJIM, L. A. PASTUR. A new approach for capacity analysis of large dimensional multi-antenna channels [J]. IEEE Trans. Inf. Theory. 2008, 54(9): 3987–4004.

DOI: 10.1109/tit.2008.928229

Google Scholar

[3] S. WAGNER, R. COUILLET, M. DEBBAH, D. T. M. SLOCK. Large System Analysis of Linear Precoding in MISO Broadcast Channels with Limited Feedback [J]. IEEE Trans. Inf. heory. 2012, 58(7): 4509–4537.

DOI: 10.1109/tit.2012.2191700

Google Scholar

[4] R. COUILLET, M. DEBBAH, Random matrix methods for wireless communications [M], Cambridge University Press, New York, NY, USA, first edition, (2011).

Google Scholar

[5] E. BJORNSON, M. BENGTSSON , B. OTTERSTEN. Pareto characterization of the multicell MIMO performance region with simple receivers [J]. IEEE Trans. Signal Process. 2012, 60(8): 4464–4469.

DOI: 10.1109/tsp.2012.2199309

Google Scholar

[6] C. B. PEEL, B. M. HOCHWALD, A. L. SWINDLEHURST. A vector perturbation technique for near-capacity multi-antenna multi-user communication, Part I: Channel inversion and regularization [J]. IEEE Trans. Commun. 2005, 53(1): 195–202.

DOI: 10.1109/tcomm.2004.840638

Google Scholar

[7] J. HOYDIS, S. TEN BRINK, M. DEBBAH. Massive MIMO in the UL/DL of cellular networks: How many antennas do we need [J]? IEEE J. Sel. Areas Commun. 2013, 31(2): 160–171.

DOI: 10.1109/jsac.2013.130205

Google Scholar

[8] M. JOHAM, W. UTSCHICK, J.A. NOSSEK. Linear transmit processing in MIMO communications systems[J]. IEEE Trans. Signal Process. 2005, 53(8): 2700–2712.

DOI: 10.1109/tsp.2005.850331

Google Scholar