IJCNS  Vol.1 No.1 , February 2008
PAPR Reduction Scheme with SOCP for MIMO-OFDM Systems
ABSTRACT
Combination of multiple-input multiple-output (MIMO) with orthogonal frequency division multiplexing (OFDM) has become a promising candidate for high performance wireless communications. However one major disadvantage of MIMO-OFDM systems lies in a prohibitively large peak-to-average power ratio (PAPR) of the transmitted signal on each antenna. In this paper we extend from SISO to MIMO systems a method based on allocating dedicated subcarriers for PAPR mitigation. These subcarriers are located on unused subcarriers of OFDM spectrum under the assumption they all fall under the power mask. This is originally implemented with a SOCP optimization algorithm applied before space time coding scheme. This jointly mitigates PAPR on each MIMO branch scheme. This approach does not degrade the bit-error-rate (BER) and the data bit rate and no side information (SI) transmission is required. Simulation results are presented in the IEEE 802.16 WiMAX standard contexts: an Alamouti space time code with two transmitted antennas and 256 OFDM subcarriers are considered where 56 of which are unused and allocated for PAPR reduction. PAPR gains up to 7dB are obtained depending on mean power increase limitation. Moreover, with a spectrum mask constraint, this method is standard compliant.
KEYWORDS
MIMO-OFDM, PAPR, SOCP
Cite this paper
nullRIHAWI, B. and LOUET, Y. (2008) PAPR Reduction Scheme with SOCP for MIMO-OFDM Systems. International Journal of Communications, Network and System Sciences, 1, 29-35. doi: 10.4236/ijcns.2008.11005.
References
[1]   J. Tellado-Mourelo, “Peak to Average Power Ratio Reduction for multicarrier modulation”, PhD thesis, Stanford University, Sept. 1999

[2]   S. Zabre, J. Palicot, Y. Louet, and C. Lereau, “SOCP approach for OFDM peak-to-average power ratio reduction in the signal adding context”, IEEE ISSPIT 06, Vancouver, Canada, Aug. 2006

[3]   I. E. Telatar, “Capacity of multi-antenna Gaussian channels”, AT T Bell Labs Internal Tech. Memo., Jun. 1995.

[4]   G. J. Foschini, and M. J. Gans, “On limits of wireless communications in a fading environment when using multiple antennas”, Wireless Personal Communication, vol.6, Mar. 1998, pp. 314-335

[5]   S. H. Han, and J. H. Lee, “An overview of peak-toaverage power ratio reduction techniques for multicarrier transmission”, IEEE Wireless Communication, vol.12, no.2, Apr. 2005, pp.56-65.

[6]   Y. Lee, Y. You, W. Jeon, J. Paik, and H. Song, “Peak-to-average power ratio in MIMO-OFDM systems using selective mapping”, IEEE Commun. Letters, vol.7, no.12, Dec. 2003, pp. 575-577.

[7]   M. Tan, Z. Latinovic, and Y. Bar-Ness, “STBC MIMO-OFDM Peak-to-Average Power Ratio Reduction by Cross-Antenna Rotation and Inversion”, IEEE Commun. Letters, vol.9, no.7, Jul. 2005.

[8]   H.Lee, D. N. Liu, W. Zhu, and M. P. Fitz, “Peak power reduction using a unitary rotation in multiple transmit antennas”, in Proc. IEEE International Conference on Communication, vol.4, Seoul, South Korea, May 2005, pp.2407-2411.

[9]   Z. Latinovic, and Y. Bar-Ness, “SFBC MIMO-OFDM Peak-to-Average Power Ratio Reduction by Polyphase Interleaving and Inversion”, IEEE Commun. Letters, vol.10, no.4, Apr. 2006

[10]   [10] Aggarwal, A. Sauffr, and E.R. Meng T.H, “Optimal Peak-to-Average Power Ratio Reduction in MIMO Systems”, IEEE International Conference on Commnication (ICC 06), vol.7, Istanbul, Turkey, Jun. 2006, pp.3094-3099

[11]   G. Wunder, and H. Boche, “Peak value estimation of bandlimited signals from their samples, noise enhancement, and a local characterization in the neighborhood of an extremum”, IEEE Trans. Signal Processing, Mar. 2003, pp.771-780.

[12]   Siavash M. Alamouti, “A simple Transmit Diversity Technique forWireless communications”, IEEE Journal on Select Areas in Communications, vol.16, no.8, Oct. 1998

[13]   M. Lobo, L. Vandenberghe, S. Boyd, and H. Lebret, “Applications of second order cone programming”, Linear Algebra and its Applications, 284:193-228, Special Issue on Linear Algebra in Control, Signals and Image Processing, Nov. 1998.

[14]   R.F.H. Fischer, and M. Hoch, “Peak-to-Average Power Ratio Reduction in MIMO OFDM”, IEEE International Conference on Communications (ICC 2007), Glasgow, United Kingdom, Jun. 2007.

[15]   M. Grant, S. Boyd, and Y. Ye, “CVX – Matlab Software for Disciplined Convex Programming”, http://www.stanford.edu/ boyd/cvx/

 
 
Top