Abstract
The conventional antenna selection schemes suffer from severe performance degradations in most fading channels. This paper proposes a new receive antenna selection algorithm based on the theory of convex optimization that improve the system performance over Rayleigh fading multiple-input multiple-output (MIMO) channels. With this method, each Radio Frequency chain is not allocated to a single antenna element, but instead to the complex-weighted and combined response of a group array of elements. In this paper, we firstly get optimal solution under no constraints. Then, suboptimal algorithms are introduced based on minimised the squared error and convex optimization technique. The Monte-Carlo simulations show that the algorithm proposed can provide the performance very close to that of the optimal selection based on exhaustive search.
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Foscini G. J., Gans M. J. (1998) On limits of wireless communications in fading environment when using multiple antennas. Wireless Personal Communications 6(3): 311–335
Blum R.S., Winters J.H. (2002) On optimum MIMO with antenna selection. IEEE Communication Letters 6(8): 322–324
Molisch A.F., Win M.Z., Choi Y., Winters J.H. (2005) Capacity of MMO systems with antenna selection. IEEE Transactions on Wireless Communications 4(4): 1759–1772
Gorokhov A., Gore D. A., Paulraj A. J. (2003) Receive antenna selection for MIMO spatial multiplexing: Theory and algorithm. IEEE Transactions on Signal Processing 5(11): 2796–2807
Gore D.A., Paulraj A.J. (2002) MIMO antenna subset selection with space-time coding. IEEE Transactions on Signal Processing 50(10): 2580–2588
Heath R. W., Sandhum S., Paulraj A. J. (2001) Antenna selection for spatial multiplexing systems with linear receivers. IEEE Communications Letters 5: 142–144
Jensen M.A., Morris M.L. (2005) Efficient capacity-based antenna selection for MIMO systems. IEEE Transactions on Vehicular Technology 54(1): 110–116
Gore D.A., Heath R.W., Paulraj A.J. (2002) Transmit selection in spatial multiplexing systems. IEEE Communications Letters 6(11): 491–493
Gore, D. A., Heath, R. W., & Paulraj, A. J. (2002). Statistical antenna selection for spatial multiplexing systems. In: IEEE Communications, 2002. ICC 2002 (Vol. 1, pp. 450–454). New York, NY, USA, April 28-May 2, 2002.
Zhang, H., & Dai, H. (2004). Fast transmit antenna selection algorithms for MIMO systems with fading correlation. In: Proc. Vehicular Technology Conference, Fall 2004, VTC Fall 04. Sept (2004).
Dai L., Sfar S., Letaief K. B. (2006) Optimal antenna selection based on capacity maximization in correlated channels. IEEE Transactions on Communications 54(3): 563–573
Karamalis P. D., Skentos N. D., Kanatas A. G. (2004) Selecting array configurations for MIMO systems: An evolutionary computation approach. IEEE Transactions on Wireless Communications 3(6): 1994–1998
Zhang X., Molisch A. F., Kung S. Y. (2005) Variable-phase-shift-based RF-baseband codesign for MIMO x., antenna selection. IEEE Transactions on Signal Processing 53(11): 4091–4103
Heath R., Love D. (2005) Multimode antenna selection for spatial multiplexing systems with linear receivers. IEEE Transactions on Signal Processing 53(8): 3042–3056
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Wang, Y., Li, H. & Wang, X. Robustness of Weighting Receive Antenna Selection Algorithm. Wireless Pers Commun 61, 59–67 (2011). https://doi.org/10.1007/s11277-010-9998-3
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DOI: https://doi.org/10.1007/s11277-010-9998-3