Abstract
In this paper the objective is to enhance the spectral efficiency using combinations of transmit antenna selection with Linear Dispersion Code Selection. Both bit error rate minimization and throughput maximization criteria are here examined. The performance of the proposed spatial link adaptation scheme is evaluated under low mobility environments concluding that in case of linear receivers the transmit antenna code selection scheme with the combination of adaptive modulation and coding achieves a noticeable SNR gain (up to 3dB) in a large SNR margin (SNR from 6 to 18dB), which could be considered as a potent technique to achieve a smooth transition between diversity and multiplexing in order to maximize the overall system throughput.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Telatar, E.: Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications (November 1999)
Hassibi, B., Hochwald, B.M.: High Rates Codes that are Linear in Space and Time. IEEE Communications Letters 5(4), 154–156 (2001)
Zheng, L., Tse, D.: Diversity and multiplexing: a fundamental tradeoff in multiple antenna channels. Proc. of the IEEE Trans. on Information Theory 49(5), 1073–1096 (2003)
Heath, R.W., Paulraj, A.J.: Linear Dispersion Codes for MIMO Systems Based in Frame Theory. Proc. of the IEEE Transactions on Signal Processing 50(10), 2429–2441 (2002)
Gohary, R., Davidson, T.: Design of Linear Dispersion Codes: Asymptotic Guidelines and Their Implementation. Proc. IEEE Transactions on Wireless Communications 4(6), 2892–2906 (2005)
Roh, J.C., Rao, B.D.: Multiple antenna channels with partial channel state information at the transmitter. Proc. IEEE Transactions on Wireless Communications 3(2), 677–688 (2004)
Love, D.J., Heath Jr., R.W., Santipach, W., Honig, M.L.: What is the value of limited feedback for MIMO channels? IEEE Communications Magazine 42(10), 54–59 (2004)
Oestges, C., Clerckx, B.: MIMO Wireless Communications. Academic Press, Elsevier, USA (2007)
Phan, K.T., Tellambura, C.: Capacity Analysis for Transmit Antenna Selection Using Orthogonal Space-Time Block Codes. IEEE Communications Letters 11(5), 423–425 (2007)
Deng, D., Zhao, M., Zhu, J.: Transmit Antenna Selection for Linear Dispersion Codes Based on Linear Receiver. In: Proc. IEEE Vehicular Technology Conference (IEEE VTC-Spring 2006) (2006)
Xia, P., Giannakis, G.B.: Design and Analysis of Transmit-Beamforming Based on Limited-rate Feedback. IEEE Transactions on Signal Processing 54(5), 1853–1863 (2006)
Love, D.J., Heath Jr., R.W.: Multimode precoding for MIMO wireless systems. IEEE Transactions on Signal Processing 53(10), 3674–3687 (2005)
Heath Jr., R.W., Love, D.J.: Multimode Antenna Selection for Spatial Multiplexing Systems with Linear Receivers. IEEE Transactions on Signal Processing 53(8), 3042–3056 (2005)
Sezgin, A., Jorswieck, E.A., Costa, E.: LDC in MIMO Ricean Channels: Optimal Transmit Strategy with MMSE Detection. IEEE Transactions on Signal Processing 56(1) (January 2008)
IEEE Standard for Local and Metropolitan Area Networks, Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems, IEEE Std. 802.16eTM-2005 (February 2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Gutierrez, I., Bader, F. (2010). Spectral Efficiency Using Combinations of Transmit Antenna Selection with Linear Dispersion Code Selection. In: Chatzimisios, P., Verikoukis, C., Santamaría, I., Laddomada, M., Hoffmann, O. (eds) Mobile Lightweight Wireless Systems. Mobilight 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16644-0_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-16644-0_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16643-3
Online ISBN: 978-3-642-16644-0
eBook Packages: Computer ScienceComputer Science (R0)