A Novel Convex Optimization for Receive Antenna Selection


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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. The algorithm is based on approximated relaxed original optimization problem. The main effort in the approximated relaxed method is computing the Newton step for the centering problem, which consists of solving sets of linear equations constraints. The method produces not only a suboptimal choice of receive antennas, but also, a bound on how well the globally optimal choice does. 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.



Edited by:

Wenya Tian and Linli Xu






Y. Wang and H. Li, "A Novel Convex Optimization for Receive Antenna Selection", Advanced Materials Research, Vol. 186, pp. 611-615, 2011

Online since:

January 2011





[1] T.L. Marzetta and B.M. Hochwald: Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading. IEEE Trans. Inform. Theory, Vol. 45 (1999), p.139.

DOI: 10.1109/18.746779

[2] G.J. Foschini and M.J. Gans: On limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Commun., Vol. 6 (1998), p.311.

[3] A.F. Molisch: MIMO systems with antenna selection-an overview. Radio and Wireless Conference, 2003. RAWCON'03. Proceedings, pp.167-170, Aug. (2008).

DOI: 10.1109/rawcon.2003.1227919

[4] S. Sanayei, A. Nosratinia: Antenna selection in MIMO systems. Communications Magazine, IEEE, Vol. 42 (2009) , p.68.

DOI: 10.1109/mcom.2004.1341263

[5] R. Heath, S. Sandhu and A. Paulraj: Antenna selection for spatial multiplexing systems with linear receivers. IEEE Commun. Lett., Vol. 5 (2005) , p.142.

DOI: 10.1109/4234.917094

[6] A.F. Molisch, M.Z. Win and J.H. Winters: Capacity of MIMO systems with antenna selection. Communications, 2001. IEEE 2001. IEEE International Conference on, Vol. 2 (2006), p.570.

DOI: 10.1109/icc.2001.937004

[7] Zh. Chen, J. h. Yuan, B. Vucetic and z. d. Zhou: Performance of Alamouti scheme with transmit antenna selection. Electronics letters, Vol. 39 (2005), p.1666.

DOI: 10.1049/el:20030966

[8] L. Yao, W. Sethares and D. Kammer: Sensor placement for on-orbit modal identification via a genetic algorithm. American Institute of Aeronautics and Astronautics Journal, Vol. 31(1993) , p. (1922).

DOI: 10.2514/3.11868

[9] S. Boyd and L. Vandenberghe: Convex Optimization (Cambridge University Press, UK 2004).

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