Reference : Robust Cognitive Beamforming With Bounded Channel Uncertainties
Scientific journals : Article
Engineering, computing & technology : Computer science
Engineering, computing & technology : Computer science
Robust Cognitive Beamforming With Bounded Channel Uncertainties
Zheng, Gan [> >]
Wong, K.-K. [> >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
IEEE Transactions on Signal Processing
[en] This paper studies the robust beamforming design for a multi-antenna cognitive radio (CR) network, which transmits to multiple secondary users (SUs) and coexists with a primary network of multiple users. We aim to maximize the minimum of the received signal-to-interference-plus-noise ratios (SINRs) of the SUs, subject to the constraints of the total SU transmit power and the received interference power at the primary users (PUs) by optimizing the beamforming vectors at the SU transmitter based on imperfect channel state information (CSI). To model the uncertainty in CSI, we consider a bounded region for both cases of channel matrices and channel covariance matrices. As such, the optimization is done while satisfying the interference constraints for all possible CSI error realizations. We shall first derive equivalent conditions for the interference constraints and then convert the problems into the form of semi-definite programming (SDP) with the aid of rank relaxation, which leads to iterative algorithms for obtaining the robust optimal beamforming solution. Results demonstrate the achieved robustness and the performance gain over conventional approaches and that the proposed algorithms can obtain the exact robust optimal solution with high probability.

File(s) associated to this reference

Fulltext file(s):

Limited access
Robust Cognitive Beamforming With Bounded Channel Uncertainties.pdfPublisher postprint864.14 kBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.