Channel Capacity of Virtual MIMO-Based Wireless Sensor Networks with Imperfect CSI
Pages 2861 - 2865
Abstract
In existing works on MIMO for wireless sensor networks, virtual MIMO schemes based on the space-time block codes (STBC) have been widely used, and it is demonstrated that the full diversity and full rate are achieved which enhances power/bandwidth efficiency and reliability. However, all the existing works have generated substantial insight into the applications of MIMO to wireless sensor networks design for certain simplified models of the communication environment, such as complete channel state information (CSI), absence of interference generated by other users in the network, and persistent, homogeneous traffic from the physical layer point of view. In this paper, the authors study channel capacity of virtual MIMO-based wireless sensor networks with imperfect CSI. The authors compare the channel capacities of using equal power allocation and water-filling strategy and consider different channel models with imperfect CSI.
References
[1]
S. M. Alamouti, "A simple transmit diversity techinique for wireless communications," IEEE J. Sel. Areas. Commun., vol. 16, no. 8, pp. 1451-1458, Oct. 1998.
[2]
M. Bengtsson, and B. Ottersten "Optimal and suboptimal transmit beamforming," in Handbook of Antennas in Wireless Communications., L. C. Godara, Ed. Boca Raton, F1: CRC, 2001.
[3]
E. Biglieri, J. Proakis, and S. Shamai, "Fading channels: Informationtheoretic and communication aspects," IEEE Trans. Inf. Theory, vol. 44, no. 6, pp. 2619-2692, Oct. 1998.
[4]
A. G. Constantine, "Some non-central distribution problems in multivariate analysis," Ann. Math. Stat., vol. 34, pp. 1270-1285, Dec. 1963.
[5]
S. Cui, A. J. Goldsmith, and A. Bahai, "Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks," IEEE J. Sel. Areas. Commun., vol. 22, no. 6, pp. 1089-1098, Aug. 2004.
[6]
P. F. Driessen, and G. J. Foschini, "On the capacity formula for multiple-input multiple-output wireless channels: A geometric interpretation," IEEE Trans. Commun., vol. 2, pp. 173-176, Feb. 1999.
[7]
D. Estrin, and R. Govindan, "Next century chanlleges:scalable coordination in sensor networks," Mobicom 1999, Seattle, WA., pp. 263-270, August 1999.
[8]
F. R. Farokhi, G. J. Foschini, A. Lozano, and R. A. Valenzuela, "Link-optimal space-time processing with multiple transmit and receiver antennas", IEEE Commun. Lett., vol. 5, pp. 85-87, Mar. 2001.
[9]
A. Goldsmith, S. A. Jafar, N. Jindal, and S. Vishwanath "Capacity limits of MIMO channels," IEEE J. Sel. Areas. Commun., vol. 21, no. 5, pp. 684-702, June 2003.
[10]
Jason L. Hill, and David E. Culler, " Mica: A Wireless Platform, for Deeply Embedded Networks," Micm, IEEE, Volume: 22, Issue: 6, pp. 12-24, Nov.-Dec. 2002.
[11]
W. C. Jakes Jr., Mircowave Mobile Communications New York: Wiley, 1974
[12]
A. T. James, "Distributions of matric variates and latent roots derived from normal samples," Ann. Math. Stat., vol. 35, pp. 475-501, June 1964.
[13]
S. K. Jayaweera, and H. V. Poor, "MIMO Capacity results for Rician fading channels," Proc. IEEE Global Telecommunications Conference, vol. 4, pp. 1806-1810, Dec. 2003.
[14]
S. K. Jayaweera, "Energy analysis of MIMO techniques in wireless sensor networks," 38th Annual Conf. on Inform. Sci. and Syst. (CISS 04) Princeton, NJ, Mar. 2004
[15]
S. K. Jayaweera, "An energy-efficient virtual MIMO communications architecture based on V-BLAST processing for distributed wireless sensor networks," Proc. IEEE Secon., Santa Clara, CA, USA, Oct. 2004
[16]
G. J. Pottie, and W. J. Kaiser, " Wireless integrated network sensors," Communications of the ACM, vol. 43, no. 5, pp. 551-558, May 2000.
[17]
I. E. Telatar, "Capacity of multi-antenna Gaussian channels", Eur. Trans. Telecomm. ETT, vol. 10, no. 6, pp. 585-596, Nov. 1999.
[18]
J. Winters, "On the capacity of radio communication systems with diversity in a Rayleigh fading environment," IEEE J. Sel. Areas. Commun., vol. 5, pp. 871-878, June 1987.
[19]
A. Pascula-Iserte, D. P. Palomar, A. I. Perez-Neira, and M. A. Lagunas "A Robust maximin approach for MIMO communications with imperfect channel state information based on convex optimization," IEEE. Trans. Singed Proc., vol. 54, no. 1, pp. 346-359, Jan. 2006.
[20]
G. G. Raleigh, and J. M. Cioffi, "Spatio-temporal coding for wireless communication," IEEE. Trans. Commun., vol. 46, pp. 357-366, Mar. 1998.
[21]
T. S. Rappaport, Wireless Communications Englewood Cliffs, NJ: Prentice Hall, 1996
[22]
D. Tse, and P. Viswanath, Fundamentals of Wireless Communications Cambridge, U.K.: Cambridge Univ. Press, 2005
[23]
P. W. Wolniansky, G. J. Foschini, G. D. Golden, and R. A. Valenzuela, "V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel," Proc. ISSSE, Pisa, Italy, Sep. 1998, invited.
- Channel Capacity of Virtual MIMO-Based Wireless Sensor Networks with Imperfect CSI
Recommendations
Multiuser MIMO Transceiver Design for Uplink and Downlink with Imperfect CSI
This paper considers a joint linear transmitter and receiver design for multi-user multiple-input multiple-output (MU-MIMO) systems using total mean square error (TMSE) criterion, subject to a total transmit power constraint assuming imperfect channel ...
Imperfect CSI‐based large MIMO systems
The authors address the problem of channel estimation and data detection in a large multiple‐input multiple‐output (MIMO) systems in Rayleigh fading environment. A method of channel estimation and data detection is proposed in large MIMO systems. The ...
Beamforming with Imperfect CSI
Proceedings of the 2007 IEEE Wireless Communications and Networking ConferenceWith channel state information (CSI) at the transmitter, beamforming can be used for spatial diversity and multiple spatial access. Due to latency and feedback bandwidth limitation, the CSI at the transmitter is often known with some ambiguity. In this ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
March 2007
4451 pages
ISBN:1424406587
Copyright © 2007.
Publisher
IEEE Computer Society
United States
Publication History
Published: 01 March 2007
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 09 Mar 2025