Abstract | ||
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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. |
Year | DOI | Venue |
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2014 | 10.1109/TVT.2013.2280591 | IEEE T. Vehicular Technology |
Keywords | Field | DocType |
Robustness,Interference,Indium phosphide,Signal to noise ratio,MIMO,Uncertainty,Resource management | Radio resource management,Mathematical optimization,3G MIMO,Computer science,Control theory,Scalar (physics),Communication channel,MIMO,Electronic engineering,Interference (wave propagation),Convex optimization,Cognitive radio | Journal |
Volume | Issue | ISSN |
63 | 2 | 0018-9545 |
Citations | PageRank | References |
3 | 0.39 | 7 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tianxiang Luan | 1 | 32 | 2.40 |
Xianda Zhang | 2 | 809 | 68.13 |
Feifei Gao | 3 | 3093 | 212.03 |
James C. F. Li | 4 | 167 | 10.94 |
Ming Lei | 5 | 369 | 31.97 |