Top

Wireless Personal Communications

Published in:

20-06-2016

Transmit Power Minimization for MIMO Systems of Exponential Average BER with Fixed Outage Probability

Authors: Dian-Wu Yue, Yichuang Sun

Published in: Wireless Personal Communications | Issue 4/2016

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

This paper is concerned with a wireless multiple-antenna system operating in multiple-input multiple-output (MIMO) fading channels with channel state information being known at both transmitter and receiver. By spatiotemporal subchannel selection and power control, it aims to minimize the average transmit power (ATP) of the MIMO system while achieving an exponential type of average bit error rate (BER) for each data stream. Under the constraints on each subchannel that individual outage probability and average BER are given, based on a traditional upper bound and a dynamic upper bound of Q function, two closed-form ATP expressions are derived, respectively, which can result in two different power allocation schemes. Numerical results are provided to validate the theoretical analysis, and show that the power allocation scheme with the dynamic upper bound can achieve more power savings than the one with the traditional upper bound.

previous article TA-FSFT Thermal Aware Fail Safe Fault Tolerant algorithm for Wireless Body Sensor Network

next article An Efficient Hybrid Anomaly Detection Scheme Using K-Means Clustering for Wireless Sensor Networks

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Available only for authorised users

Telatar, I. E. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6), 585–596.CrossRef

Kiessling, M. (2005). Unifying analysis of ergodic MIMO capacity in correlated Rayleigh fading environments. European Transactions on Telecommunications, 16(1), 17–35.CrossRef

Jin, S., McKay, M. R., Gao, X., & Collings, I. B. (2008). MIMO multichannel beamforming: SER and outage using new eigenvalue distributions of complex noncentral Wishart matrices. IEEE Transactions on Communications, 56(3), 424–434.CrossRef

Zheng, L., & Tse, D. N. (2003). Diversity and multiplexing: A fundamental tradeoff in multiple antenna channels. IEEE Transactions on Information Theory, 49(5), 1073–1096.MATHCrossRef

Lozano, A., & Jindal, N. (2010). Transmit diversity vs. spatial multiplexing in modern MIMO systems. IEEE Transactions on Wireless Communications, 9(1), 186–197.CrossRef

Falou, A. E., Hamouda, W., Langlais, C., Nour, C. A., & Douillard, C. (2003). Finite-SNR diversity-multiplexing tradeoff for Rayleigh MIMO channels. IEEE Communications Letters, 17(4), 753–756.CrossRef

Hayes, J. F. (1968). Adaptive feedback communication. IEEE Transactions on Communications, 16(1), 29–34.CrossRef

Caire, G., & Kumar, K. R. (2007). Information theoretic foundations of adaptive coded modulation. Proceedings of the IEEE, 95(12), 2274–2298.CrossRef

Palomar, D. P., Cioffi, J. M., & Lagunas, M. A. (2003). Joint Tx-Rx beamforming design for multicarrier MIMO channels: A unified framework for convex optimization. IEEE Transactions on Signal Processing, 51(9), 2381–2401.CrossRef

10.

Palomar, D. P., Cioffi, J. M., & Lagunas, M. A. (2003). Uniform power allocation in MIMO channels: A game-theoretic approach. IEEE Transactions on Information Theory, 49(7), 1707–1727.MathSciNetMATHCrossRef

11.

Ordóñez, L. G., Palomar, D. P., & Fonollosa, J. R. (2009). Ordered eigenvalues of a general class of Hermitian random matrices with application to the perforamance analysis of MIMO systems. IEEE Transactions on Signal Processing, 57(2), 672–689.MathSciNetCrossRef

12.

Ordóñez, L. G., Palomar, D. P., Pagès-Zamora, A., & Fonollosa, J. R. (2009). Minimum BER linear MIMO transceivers with adaptive number of substreams. IEEE Transactions on Signal Processing, 57(6), 2336–2353.MathSciNetCrossRef

13.

Zanella, A., & Chiani, M. (2012). Reduced complexity power allocation strategies for MIMO systems with eigen value decomposition. IEEE Transactions on Vehicular Technology, 61(9), 4031–4041.CrossRef

14.

Xiong, F. (2006). Digital modulation techniques (2nd ed.). London: Artech House Inc.MATH

15.

Paulraj, A. J., Nabar, R., & Gore, D. (2003). Introduction to space-time wireless communications. Cambridge: Cambridge University Press.

16.

Zhou, S., & Giannakis, G. B. (2003). Optimal transmitter eigen-beamforming and space-time block coding based on channel correlations. IEEE Transactions on Information Theory, 49(7), 1673–1690.MathSciNetMATHCrossRef

17.

Rangarajan, A., Sharma, V., & Singh, S. K. (2003). Information-theoretic and communication-theoretic optimal power allocation for fading channels. In Proceedings of the IEEE international symposium on information theory (ISIT). Yokohama, Japan.

18.

Rangarajan A., & Sharma, V. (2004). Achieving exponential diversity order in Rayleigh-fading channels. In Proceedings national conference on communications (NCC)

19.

Premkumar, K., Sharma, V., & Rangarajan, A. (2004). Exponential diversity achieving spatio-temporal power allocation scheme for fading channels. DRDO-IISc program on mathematical engineering, IISc, Bangalore 560 012, India, Tech. Rep., TR-PME-2004-08. Available: http://www.pal.ece.iisc.ernet.in/PAM.

20.

Sharma, V., Premkumar, K., & Swamy, R. N. (2008). Exponential diversity acheiving spatio-temporal power allocation scheme for fading channel. IEEE Transactions on Information Theory, 54(1), 188–208.MathSciNetMATHCrossRef

21.

Ganesh, V., & Jalihal, D. (2007). Power allocation For MISO channel With co-ordinate interleaving technique. IEEE Signal Processing Letters, 14(5), 309–312.CrossRef

22.

Reddy, P. H. , Kumar, V. N. , Khan, M. Z. A. , & Srinivas, M. B. (2007). Optimal power allocation in space and time in MISO Rayleigh fading channels with peak to average power ratio constraint. 2007 IEEE Sarnoff symposium, 2007.

23.

Khan, M. Z. A. (2008). Achieving exponential diversity in all fading channels. 24th Biennial symposium on commnunications, 2008 (pp. 274–277).

24.

Müller, A., & Speidel, J. (2009). Achieving exponential diversity in wireless multihop systems with regenerative relays. IEEE interantional conference on commnunications (ICC’09), 2009.

25.

Khan, M. Z. A. (2011). Achieving exponential diversity with spatio-temporal power allocation with imperfect channel state information. In Proceedings of national conference on communications (NCC), 2011.

26.

Khan, M. Z. A. (2011). On achieving exponential diversity with partial channel state information in MIMO fading channels. In 7th International wireless communications and mobile computing conference (IWCMC), 2011 (pp.125–129).

27.

Larrson, E. G., & Stoica, P. (2003). Space-time block coding for wireless communications. Cambridge: Cambridge University Press.CrossRef

28.

Li, G. Y., Xu, Z., Xiong, C., Yang, C., Zhang, S., Chen, Y., et al. (2011). Energy-efficient wireless communications: Tutorial, survey, and open issues. IEEE Wireless Communications, 18(6), 28–35.CrossRef

29.

Feng, D., Jiang, C., Lim, G., Cimini, L. J, Jr., Feng, G., & Li, G. Y. (2013). A survey of energy-efficient wireless communications. IEEE Communications Surveys and Tutorials, 15(1), 167–178.CrossRef

30.

Gupta, A. K., & Nagar, D. K. (2000). Matrix variate distributions. Boca Raton: Chapman and Hall/CRC.MATH

31.

Raleigh, G. G., & Cioffi, J. M. (1998). Spatio-temporal coding for wireless communication. IEEE Transactions on Communications, 46(3), 357–366.CrossRef

32.

Lebrun, G., Ying, T., & Faulkner, M. (2002). MIMO transmission overa timevarying channel using SVD. In Proceedings of the IEEE global telecommunications conference (pp. 414–418). Taipei, Taiwan.

33.

Goldsmith, A. (2005). Wireless communications. Cambrige: Cambrige University Press.CrossRef

34.

Wang, Z., & Giannakis, G. B. (2003). A simple and general parameterization quantifying performance in fading channels. IEEE Transactions on Communications, 51(8), 1389–1398.CrossRef

35.

Lee, Y. H., & Bar-Ness, Y. (2003). Power adaptation for BPSK signaling with average and peak power constraints in Rayleigh fading channels. IEEE Transactions on Communications, 51(11), 1871–1876.CrossRef

36.

Zanella, A., & Chiani, M. (2008). The PDF of the \(l\)-th largest eigenvalue of central Wishart matrices and its application to the performance analysis of MIMO systems. In IEEE Golbal Telecommunications Conference (GLOBECOM), 2008.

37.

Andews, L. C. (1998). Speical functions of mathematics for engineering. Oxford: Oxford University Press.

38.

Alouini, M. S., & Goldsmith, A. (1999). Capacity of Rayleigh fading channels under different adaptive transmission and diversity-combining techniques. IEEE Transactions on Vehicular Technology, 48(4), 1165–1181.CrossRef

39.

Bölckei, H., Gesbert, D., & Paulraj, A. J. (2002). On the capacity of OFDM-based spatial muliplexing systems. IEEE Transactions on Communications, 50(2), 225–234.CrossRef

40.

Bölckei, H., Borgmann, M., & Paulraj, A. J. (2003). Impact of the propagation environment on the performance of space-frequency coded MIMO-OFDM. IEEE Journal on Selected Areas in Communications, 21(3), 427–439.CrossRef

41.

McKay, M. R., & Collings, I. B. (2006). On the capacity of frenquency-flat and frequency-selective Rician MIMO channels with single-ended correlation. IEEE Transactions on Wireless Communications, 5(8), 2038–2043.CrossRef

Title: Transmit Power Minimization for MIMO Systems of Exponential Average BER with Fixed Outage Probability
Authors: Dian-Wu Yue
Yichuang Sun
Publication date: 20-06-2016
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 4/2016
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-016-3432-4

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 4/2016

An Efficient Multicode Design for Real Time QoS Support in OVSF Based CDMA Networks

Secrecy Outage Probability of a Distributed Multi-Antenna Cooperative Communication System

Implementation of DGPS Reference and User Stations Based on RPCE Factors

An Innovative Design: MOS Based Full-Wave Centre-Tapped Rectifier

WARM Based Data Pre-fetching and Cache Replacement Strategies for Location Dependent Information System in Wireless Environment

A Novel Data-Aided Joint Timing and Carrier Frequency Offset Estimation Based on Central Symmetry ZC Sequence in OFDM/OQAM Systems