Transmission techniques and channel estimation for Spatial Interweave TDD Cognitive Radio systems

In this paper we propose a new method of designing the beamformer subspace in MIMO interference channel with a Time-Division Duplex (TDD) transmission scheme. In particular, this method is applied to a Spatial Interweave Cognitive Radio scenario. In our model we do not require a priori knowledge of the Channel State Information (CSI) at the transmitters. The primary and the opportunistic (cognitive) users are able to obtain information required for Tx beamforming through smart exploitation of received signal during a TDD time slot, exploiting channel reciprocity thus reducing overhead for channel estimation. The opportunistic user designs its beamformer in order to span the noise subspace at the primary receiver, thus intertwining its signal with the primary's so that its signal lies within the spatial whitespaces of the primary, possibly licensed system, causing no interference to the latter.

[1]  Raymond Knopp,et al.  A practical method for wireless channel reciprocity exploitation through relative calibration , 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..

[2]  Syed Ali Jafar,et al.  Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel , 2008, IEEE Transactions on Information Theory.

[3]  Thomas Kailath,et al.  Detection of signals by information theoretic criteria , 1985, IEEE Trans. Acoust. Speech Signal Process..

[4]  Wei Yu,et al.  Iterative water-filling for Gaussian vector multiple-access channels , 2001, IEEE Transactions on Information Theory.

[5]  Sabine Van Huffel,et al.  Overview of total least-squares methods , 2007, Signal Process..

[6]  F. Petre,et al.  A novel and low-cost analog front-end mismatch calibration scheme for MIMO-OFDM WLANs , 2006, 2006 IEEE Radio and Wireless Symposium.

[7]  Huiyue Yi Nullspace-Based Secondary Joint Transceiver Scheme for Cognitive Radio MIMO Networks Using Second-Order Statistics , 2010, 2010 IEEE International Conference on Communications.

[8]  Syed Ali Jafar,et al.  Approaching the Capacity of Wireless Networks through Distributed Interference Alignment , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[9]  Sergio Barbarossa,et al.  Cognitive MIMO radio , 2008, IEEE Signal Processing Magazine.

[10]  Ying-Chang Liang,et al.  Cognitive beamforming made practical: Effective interference channel and learning-throughput tradeoff , 2008, 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications.

[11]  D. Kraus,et al.  Calculation of moments of complex Wishart and complex inverse Wishart distributed matrices , 2000 .

[12]  Ying-Chang Liang,et al.  Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks , 2007, IEEE Journal of Selected Topics in Signal Processing.

[13]  Stefania Sesia,et al.  LTE - The UMTS Long Term Evolution, Second Edition , 2011 .

[14]  Robert W. Heath,et al.  Interference alignment via alternating minimization , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[15]  Ying-Chang Liang,et al.  Design of Learning-Based MIMO Cognitive Radio Systems , 2009, IEEE Transactions on Vehicular Technology.

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

[17]  Antonio Pascual-Iserte,et al.  Differential feedback of MIMO channel correlation matrices based on geodesic curves , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[18]  Mérouane Debbah,et al.  Opportunistic interference alignment in MIMO interference channels , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[19]  Andrea J. Goldsmith,et al.  Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective , 2009, Proceedings of the IEEE.

[20]  Luc Deneire,et al.  On the performance of calibration techniques for cognitive radio systems , 2011, 2011 The 14th International Symposium on Wireless Personal Multimedia Communications (WPMC).

[21]  F. Li,et al.  Performance analysis for DOA estimation algorithms: unification, simplification, and observations , 1993 .