Linear Precoding for Orthogonal Space-Time Block Coded MIMO-OFDM Cognitive Radio

The paper presents design of a linear precoder for orthogonal space-time block coded orthogonal frequency division multiplexing (OFDM)-based multiple-input multiple-output (MIMO) antenna cognitive radio (CR) when operating in correlated Rayleigh fading channels. Unlike previous studies on precoder design for CR, this proposed linear precoder is capable of handling both transmit and receive correlation in a multi-carrier based CR system. The linear precoder is designed to minimize an upper bound on the average pairwise error probability, constrained to a set of per subcarrier transmit power constraints at the CR transmitter and a set of interference power thresholds at primary user receivers. The CR transmitter exploits the knowledge of transmit and receive correlation matrices while designing the precoder. It is shown that the linear precoder design problem is convex with these constraints, and convex optimization techniques are exploited to derive an efficient algorithm to obtain the optimal precoder matrices. Computer simulations are performed to investigate the performance of the proposed linear precoder in a CR system.

[1]  Vijay K. Bhargava,et al.  Optimal and Suboptimal Power Allocation Schemes for OFDM-based Cognitive Radio Systems , 2008, IEEE Transactions on Wireless Communications.

[2]  Alexander Graham,et al.  Kronecker Products and Matrix Calculus: With Applications , 1981 .

[3]  Arogyaswami Paulraj,et al.  Linear precoding for space-time coded systems with known fading correlations , 2002, IEEE Communications Letters.

[4]  Rohit U. Nabar,et al.  Introduction to Space-Time Wireless Communications , 2003 .

[5]  Emil Björnson,et al.  On the impact of spatial correlation and precoder design on the performance of MIMO systems with space-time coding , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[6]  Hamid-Reza Bahrami,et al.  Precoder Design Based on Correlation Matrices for MIMO Systems , 2006, IEEE Trans. Wirel. Commun..

[7]  Joseph M. Kahn,et al.  Fading correlation and its effect on the capacity of multielement antenna systems , 2000, IEEE Trans. Commun..

[8]  Michael J. Todd,et al.  Feature Article - The Ellipsoid Method: A Survey , 1981, Oper. Res..

[9]  A. Robert Calderbank,et al.  Space-time block coding for wireless communications: performance results , 1999, IEEE J. Sel. Areas Commun..

[10]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[11]  Wenbo Wang,et al.  Optimal Power Control Under Interference Temperature Constraints in Cognitive Radio Network , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[12]  Daniel Pérez Palomar,et al.  A tutorial on decomposition methods for network utility maximization , 2006, IEEE Journal on Selected Areas in Communications.

[13]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[14]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[15]  Friedrich Jondral,et al.  Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency , 2004, IEEE Communications Magazine.

[16]  Matti Latva-aho,et al.  On the Dual-Decomposition-Based Sum Capacity Maximization for Vector Broadcast Channels , 2007, IEEE Transactions on Vehicular Technology.

[17]  Are Hjørungnes,et al.  Precoding of Orthogonal Space-Time Block Codes in Arbitrarily Correlated MIMO Channels: Iterative and Closed-Form Solutions , 2007, IEEE Transactions on Wireless Communications.

[18]  Michael J. Todd,et al.  The Ellipsoid Method: A Survey , 1980 .

[19]  Ying-Chang Liang,et al.  Space-time block coding in MIMO cognitive networks with known channel correlations , 2008, 2008 European Conference on Wireless Technology.

[20]  Hsiao-Hwa Chen,et al.  Performance Analysis of Cognitive Radio Networks with Average Interference Power Constraints , 2008, 2008 IEEE International Conference on Communications.

[21]  Are Hjørungnes,et al.  Precoding of space-time block coded signals for joint transmit-receive correlated MIMO channels , 2006, IEEE Transactions on Wireless Communications.

[22]  Björn E. Ottersten,et al.  MIMO channel capacity and modeling issues on a measured indoor radio channel at 5.8 GHz , 2005, IEEE Transactions on Wireless Communications.

[23]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[24]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[25]  Björn E. Ottersten,et al.  Modeling of wide-band MIMO radio channels based on NLoS indoor measurements , 2004, IEEE Transactions on Vehicular Technology.