Browse > Article

The Interference Nulling using Weighted Precoding in the MIMO Cognitive Radio System  

Lee, Seon-yeong (인하대학교 정보통신대학원 무선전송연구실)
Sohn, Sung-Hwan (인하대학교 정보통신대학원 무선전송연구실)
Jang, Sung-Jeen (인하대학교 정보통신대학원 무선전송연구실)
Kim, Jae-Moung (인하대학교 정보통신대학원 무선전송연구실)
Abstract
In this paper, we consider a linear precoding for the effective spectrum sharing in multiple-input multiple-output (MIMO) cognitive radio system where a secondary user coexists with primary users. The secondary user employs the orthogonal space time block coding (OSTBC) at the transmitter. Assuming a flat fading channel and a maximum-likelihood receiver, the optimum precoder forces transmission referred to as eigen-beamforming. In this paper, to eliminate the interference, ZF criterion based eigen-beamforming is not only used but also the precoding weight is chosen to cancel the remaining interference. This weight is computed by vector's likelihood. Simulation results show stronger interference suppression capability, better SER performance, and higher capacity than the algorithm in [4].
Keywords
Cognitive Radio; precoding; beamforming; correlation; interference nulling;
Citations & Related Records
연도 인용수 순위
  • Reference
1 D. Shiu, J. G. Foschini, M. Gans, and J. M. Kahn, "Fading correlation and its effect on the capacity of multi-element antenna systems," IEEE Trans. Commun., Vol.48, pp.502-513, Mar. 2000.   DOI   ScienceOn
2 M. Skoglund and G. Jongren, "On the capacity of multiple-antenna communication link with channel side information", IEEE J. Select. Areas in Commun., Vol.21, No.3, pp.395-405, Apr. 2003.   DOI   ScienceOn
3 Q. H. Spencer, A. L. Swindlehurst, and M. Haardt, "Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels", IEEE Trans. Signal Processing, Vol.52, No.2, pp.461-471, Feb. 2004.   DOI   ScienceOn
4 P. Tejera, W. Utschick, G. Bauch, and J. A. Nossek, "A novel decomposition technique for multiuser MIMO", in Proc. Int. ITG Workshop on Smart Antennas, Duisburg, Germany, Apr. 2005.
5 Markus Rupp, "On Extended Alamouti Schemes for SpaceTime Coding", IEEE, Proceedings of 5th International Symposium on Wireless Personal Multimedia Communications, Oct. 27-30, 2002
6 G. J. Foschini, "Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas", Bell Syst. Tech. J., Vol.1, pp.41-59, Aug 1996.
7 Tarokh, N. Seshadri, and A.R.Calderbank, "Space-time codes for high data rate wireless communication : Performance criterion and code construction", IEEE trans. Inform. Theory, Vol.44, pp.744-765, Mar. 1998.   DOI   ScienceOn
8 Amine Maaref, Sonia A., "Performance Analysis of Orthogonal Space-Time Block Codes in Spatially Correlated MIMO Nakagami Fading Channels", IEEE transactions on wireless communications, Vol.5, No.4, pp.807-817, Apr. 2006
9 L. Zhang, Y.C. Liang and Y. Xin, "Joint beam-forming and power allocation for multiple access channels in cognitive radio networks", IEEE JSAC, Vol.26, No.1, pp38-51, Jan. 2008
10 Federal Communications Commission, "Spectrum policy task force report", ET Docket, No.02-155 Nov. 2002.
11 Md Habibul Islam, Ying-Chang Liang, "Space-Time Block Coding in MIMO Cognitive Networks with Known Channel Correlations", Wireless Technology, EuWiT 2008. pp.97-102. Oct. 2008
12 H. Sampath and A. Paulraj, "Linear precoding for space-time coded systems with known fading correlations", IEEE Communications Letters, Vol.6, No.6, pp.239-241, Jun. 2002.   DOI   ScienceOn
13 J. Mitola et al., "Cognitive radio: Making software radios more personal," IEEE Pers. Commun., Vol.6, No.4, pp.13-18, Aug. 1999.   DOI   ScienceOn
14 Antonio Forenza, "A Low Complexity Algorithm to Simulate the Spatial Covariance Matrix for Clustered MIMO Channel Models", Vehicular Technology Conference, 2004 IEEE 59th, Vol.2, pp.889-893, May 2004
15 Hyundong Shin, "Capacity of Multiple-Antenna Fading Channles : Spatial Fading Correlation, Double Scattering, and Keyhold", IEEE Transactions on information theory, Vol.49, No.10, Oct. 2003