Opportunistic Interference Projection in Cognitive MIMO Radio with Multiuser Diversity

Opportunistic interference projection (OIP) is a cognitive radio (CR) scheme thats enables secondary users to co-exist with the licensed primary users in a spectrum sharing system and thereby improving the spectrum utilization. The presence of multiple cognitive terminals offer multiuser diversity gain, which enhances the throughput performance. Interference projection techniques works well when the transmitters have perfect channel knowledge, which is quite unrealistic assumption in real-time. In this paper, we investigate the benefits of multiuser diversity and the application of limited feedback precoding schemes for CR network with a primary and multiple cognitive MIMO links. The primary receiver feedbacks the codebook index corresponding to the precoding matrix to the cognitive transmitter through a finite rate feedback. The cognitive receiver involves in the selection of the cognitive transmitter that maximizes the system throughput performance. We present numerical simulation results of the data rate achieved in both the links for various system settings.

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

[2]  Amir K. Khandani,et al.  Communication Over MIMO X Channels: Interference Alignment, Decomposition, and Performance Analysis , 2008, IEEE Transactions on Information Theory.

[3]  Thomas L. Marzetta,et al.  Systematic design of unitary space-time constellations , 2000, IEEE Trans. Inf. Theory.

[4]  I. Olkin,et al.  Inequalities: Theory of Majorization and Its Applications , 1980 .

[5]  Syed Ali Jafar,et al.  Interference Alignment and Spatial Degrees of Freedom for the K User Interference Channel , 2007, 2008 IEEE International Conference on Communications.

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

[7]  Robert W. Heath,et al.  Grassmannian beamforming for multiple-input multiple-output wireless systems , 2003, IEEE Trans. Inf. Theory.

[8]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[9]  Wan Choi,et al.  Multi-user diversity in a spectrum sharing system , 2009, IEEE Transactions on Wireless Communications.

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

[11]  Syed Ali Jafar,et al.  Degrees of Freedom for the MIMO Interference Channel , 2006, IEEE Transactions on Information Theory.