Title :
Robust Interference Mitigation Against Channel Uncertainty for MIMO Cognitive Radios
Author :
Tianxiang Luan ; Xian-Da Zhang ; Feifei Gao ; Li, J.C.F. ; Ming Lei
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
This paper studies robust interference mitigation against the imperfectness of channel knowledge involved in the interference link of a multiple-input-multiple-output (MIMO) cognitive radio (CR) system that coexists with a primary radio (PR) system via opportunistic spectrum-sharing (OSS) scheme. The robust design leads to a seemingly complicated matrix-valued problem. Nevertheless, we show that it can be equivalently converted into two convex semidefinite programs (SDPs). One of them is identified as a null-forcing approach with closed-form power allocation, and the other can be reduced to a convex scalar power allocation subproblem by properly relaxing the interference constraint. Numerical results demonstrate significant performance gain of the robust design over previous nonrobust strategies.
Keywords :
MIMO communication; cognitive radio; convex programming; mathematical programming; radio spectrum management; radiofrequency interference; wireless channels; MIMO cognitive radios; channel knowledge; channel uncertainty; closed-form power allocation; convex scalar power allocation subproblem; convex semidefinite programs; interference constraint; interference link; matrix-valued problem; multiple-input-multiple-output cognitive radio system; null-forcing approach; opportunistic spectrum-sharing; primary radio system; robust interference mitigation; Indium phosphide; Interference; MIMO; Resource management; Robustness; Signal to noise ratio; Uncertainty; Cognitive radio (CR); convex optimization; multipleinput multiple-output (MIMO); robust design;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2013.2280591