Synthesis of Antenna Arrays for Maximum Gain and Its Impact on BER Performance of MIMO Systems
Keywords:
Multi Input- Multi Output (MIMO), Zero Forcing (ZF), Minimum Mean Square Error (MMSE), Bit Error Rate (BER).Abstract
Multiple-Input Multiple-Output (MIMO) is the most promising technology that improves the system capacity and data rate by using multiple antennas at transmitting and receiving sides of wireless communication systems. Many research efforts are introduced to enhance the bit error rate (BER) performance of MIMO systems. In this paper, detection algorithms based on antenna arrays synthesis have been proposed for bit error rate performance enhancement of MIMO systems. It is well known that the maximum number of data streams that can be supported by MIMO system using spatial multiplexing is given by. Where is the number of transmitting antennas and is the number of receiving antennas. For a given MIMO system, the existing number of antenna elements at transmitting and receiving sides are individually used to synthesize larger size antenna arrays to provide higher antenna gains without using additional antenna elements or changing the number of transmitted data streams. The achieved array gain will enhance the signal to noise ratio of the system giving rise to lower bit error rate. The proposed system is tested for both Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) detectors. The simulation results revealed that the proposed system outperforms the traditional ZF and MMSE detectors.
References
[2] M. O. Damen, H. E. Gamal, and G. Caire, “On maximum-likelihood detection and the search for the closest lattice point,” IEEE Trans. Inf. Theory, vol. 49, pp. 2389-2402, Oct. 2003.
[3] L. G. Barbero, and J. S. Thompson, “Fixing the complexity of the sphere decoder for MIMO detection ” IEEE Trans. Wireless Commun., vol. 7, pp. 2131-2142, June 2008.
[4] F. Fisher, and C. Windpassinger, “Real versus complex-valued equalization in V-BLAST systems,” IET Electron Lett., vol. 39, no. 5, pp. 470-471, Mar. 2003.
[5] H. Najafi, and M. O. Damen, "Lattice-Reduction-Aided Conditional Detection for MIMO Systems," in Communications, IEEE Transactions on , vol.62, no.11, pp.3864-3873, Nov. 2014.
[6] Y. Liu, Z. Nie, and Q. H. Liu, "Reducing the number of elements in a linear antenna array by the matrix pencil method," IEEE Trans. Antennas Propag., vol.56, no.9, pp.2955-2962, Sept. 2008.
[7] Y. Liu, Q. H. Liu, and Z. Nie, "Reducing the number of elements in the synthesis of shaped-beam patterns by the forward-backward matrix pencil method," IEEE Trans. Antennas Propag., vol. 58, no. 2, pp. 604-608, Nov. 2010.
[8] Y. Liu, Z. Nie, and Q. H. Liu, "A new method for the synthesis of non-uniform linear arrays with shaped power patterns," Progress In Electromagnetics Research, vol. 107, pp. 349-363, Aug. 2010.
[9] B. P. Kumar, and G. R. Branner, “Design of unequally spaced arrays for performance improvement,” IEEE Trans. Antennas Propag., vol. 47, no.3, pp. 511–523, Mar. 1999.
[10] A. H. Hussein, H. H. Abdullah, A. M. Salem, S. Khamis, and M. Nasr , "Optimum Design of Linear Antenna Arrays Using a Hybrid MoM/GA Algorithm," IEEE, Antennas and Wireless Propagation Letters, vol.10, pp.1232-1235, Oct., 2011.
[11] S. C. Yong, K. Jaekwon, Y. Y. Won, and G. K. Chung, “MIMO-OFDM Wireless Communications with MATLAB”, John Wiley & Sons (Asia) Pte Ltd., 2010.
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