research-article

Characterization of adaptive modulation MIMO systems in the presence of phase noise

Authors:

Mohammadreza Keshavarzi,

Abbas Mohammadi,

Abdolali Abdipour,

Hossein HemesiAuthors Info & Claims

IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly

Pages 1243 - 1247

https://doi.org/10.1145/1582379.1582651

Published: 21 June 2009 Publication History

Abstract

The effects of phase noise on the adaptive modulation multiple-input multiple-output (MIMO) wireless system are investigated. A variable-rate variable-power adaptive modulation (AM) technique with perfect channel state information (P-CSI) at both transmitter and receiver is considered. Phase noise (PN) is modeled as a zero-mean, stationary, finite-power random process. The analytical results are extracted and the simulation studies are performed. These studies show the performance degradation of MIMO wireless systems due to phase noise effects. The degradation values are obtained based on phase noise variances in adaptive modulation MIMO systems. Moreover, the experimental studies to evaluate the accuracy of analytical and simulation results are conducted using a MIMO test bed. The excellent agreements among these results are obtained. These results can effectively be used to design and to performance study of practical MIMO wireless systems with adaptive modulation, e.g. IEEE802.16, and Wimax.

References

[1]

A. Paulraj, R. Nabar, D. Gore, Introduction to Space-Time Wireless Communications, Cambridge University Press, 2003.

Digital Library

[2]

S. T. Chung, A. J. Goldsmith, "Degrees of freedom in adaptive modulation: A unified view," IEEE Trans. Commun., vol. 49, no. 9, pp. 1561--1571, Sep. 2001.

[3]

A. Mohammadi, S. Kumar, "Characterization of adaptive modulators in fixed wireless ATM networks," Journal of Communications and Networks, vol. 6, no. 2, pp. 123--132, June. 2004.

[4]

F. M. Ghannouchi, "Software Defined Radio Transmitters for Advanced Wireless and Satellite Communications Systems," Microwave Journal, Vol. 51, Issue: 5, May 2008, pp. 202--216.

[5]

T. Schenk, J. Linnartz, RF Imperfections in High-Rate Wireless Systems, Impact and Digital Compensation, Springer, 2008.

Digital Library

[6]

L. Piazzo, P. Mandarini, "Analysis of phase noise effects in OFDM modems," IEEE Trans. Commun., vol. 50, no. 10, pp. 1696--1705, Oct. 2002.

[7]

L. Tomba, "On the effect of wiener phase noise in OFDM systems," IEEE Trans. Commun., vol. 46, no. 5, pp. 580--583, May. 1998.

[8]

T. Pollet, M. van Bladel, and M. Moeneclaey, "BER sensitivity of OFDM systems to carrier frequency offset and wiener phase noise," IEEE Trans. Commun., vol. 43, no. 2/3/4, pp. 191--193, Feb./Mar./Apr. 1995.

[9]

C. Muschallik, "Influence of RF oscillators on an OFDM signal," IEEE Trans. Consumer Electronics, vol. 41, pp. 592--603, Aug. 1995.

Digital Library

[10]

T. C. W. Schenk, X.-J. Tao, P. F. M. Smulders, and E. R. Fledderus, "Influence and suppression of phase noise in multi-antenna OFDM," in Proc. VTC Fall-2004, Los Angeles, vol. 2, pp. 1443--1447, Sept. 2004.

[11]

T. C. W. Schenk, X.-J. Tao, P. F. M. Smulders, and E. R. Fledderus, "On the Influence of phase noise induced ICI in MIMO OFDM systems," IEEE Communications Letters, vol. 9, no. 8, Aug. 2005.

[12]

Z. Zhou, B. Vucetic, M. Dohler, and Y. Li, "MIMO systems with adaptive modulation," IEEE Trans. Vehicular Technology, vol. 54, no. 5, pp. 1828--1842, Sept. 2005.

[13]

M. Dohler, "Virtual antenna arrays," Ph.D dissertation, King's College, London, U.K., 2003.

[14]

R. Howald, S. Kesler, and M. Kam, "BER performance of MQAM using OFDM with RF carrier phase noise," in Proc. Southeastern Symp on System Theory, 1998, pp. 419--423.

[15]

P. Liu, Y. Bar-Ness, "Closed-form expressions for BER performance in OFDM systems with phase noise," in Proc. ICC, pp. 5366--5370, Turkey, 2006.

[16]

H. Hemesi, F. Azami, A. Ghorssi, A. Mohammadi, A. Abdipour, "Design and Implementation of a Flexible 4x4 MIMO Testbed," in Proc. Int. Sym. on Telecom, IST 2008, pp. 266--272, 2008.

[17]

H. Hemesi, F. Azami, A. Ghorssi, A. Abdipour, A. Mohammadi, "Low-complexity channel and frequency offset estimation in MIMO systems," Electronic Letters, Volume 44, Issue 9, pp. 599--600, April 2008.

[18]

A. B. Gershman, and N. D. Sidiropoulos, Space-Time Processing for MIMO Communications, Wiley, 2005.

[19]

S. Zhou and G. B. Giannakis, "How accurate channel prediction needs to be for transmit-beamforming with adaptive modulation over Rayleigh MIMO channels?," IEEE Trans. Wireless Commun., vol. 3, no. 4, pp. 1285--1294, Jul. 2004.

Digital Library

[20]

J. Lu, K. B. Letaief, J. Chuang, M. L. Liou, "M-PSK and M-QAM BER computation using signal-space concepts," IEEE Trans. on Communications, Vol. 47, No. 2, pp. 181--184, 1999.

[21]

J. G. Proakis, M. Salehi, Digital Communications, McGraw-Hill, 5^th Edition, 2007.

[22]

K. Cho, D. Yoon, "On the general BER expression of one-and two-dimensional amplitude modulations," IEEE Trans. on Communications, Vol. 50, No. 7, pp. 1074--1080, 2002.

Cited By

Mohammadi AGhannouchi FMohammadi AGhannouchi F(2012)RF Impairments in MIMO TransceiversRF Transceiver Design for MIMO Wireless Communications10.1007/978-3-642-27635-4_9(227-263)Online publication date: 2012
https://doi.org/10.1007/978-3-642-27635-4_9
Mohammadi AGhannouchi FMohammadi AGhannouchi F(2012)Digital Modulation Techniques in MIMO SystemsRF Transceiver Design for MIMO Wireless Communications10.1007/978-3-642-27635-4_3(27-54)Online publication date: 2012
https://doi.org/10.1007/978-3-642-27635-4_3

Index Terms

Characterization of adaptive modulation MIMO systems in the presence of phase noise
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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cover image ACM Conferences

IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly

June 2009

1561 pages

ISBN:9781605585697

DOI:10.1145/1582379

General Chairs:
Mohsen Guizani
Kuwait Univ. and Western Michigan University
,
Peter Mueller
IBM, Switzerland
,
Klaus-Peter Fähnrich
University of Leipzig, Germany
,
Program Chairs:
Athanasios (Thanos) Vasilakos
University of Western Macedonia, Greece
,
Yan Zhang
Simula Research Laboratory, Norway
,
Jun Zhang
University of Ottawa, Canada

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 21 June 2009

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IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference

June 21 - 24, 2009

Leipzig, Germany

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Cited By

Mohammadi AGhannouchi FMohammadi AGhannouchi F(2012)RF Impairments in MIMO TransceiversRF Transceiver Design for MIMO Wireless Communications10.1007/978-3-642-27635-4_9(227-263)Online publication date: 2012
https://doi.org/10.1007/978-3-642-27635-4_9
Mohammadi AGhannouchi FMohammadi AGhannouchi F(2012)Digital Modulation Techniques in MIMO SystemsRF Transceiver Design for MIMO Wireless Communications10.1007/978-3-642-27635-4_3(27-54)Online publication date: 2012
https://doi.org/10.1007/978-3-642-27635-4_3

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