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    Low complexity non-iterative coordinated beamforming in 2-user broadcast channels

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    Type
    Article
    Authors
    Park, Kihong cc
    Ko, Youngchai
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2010-10
    Permanent link to this record
    http://hdl.handle.net/10754/561551
    
    Metadata
    Show full item record
    Abstract
    We propose a new non-iterative coordinated beamforming scheme to obtain full multiplexing gain in 2-user MIMO systems. In order to find the beamforming and combining matrices, we solve a generalized eigenvector problem and describe how to find generalized eigenvectors according to the Gaussian broadcast channels. Selected simulation results show that the proposed method yields the same sum-rate performance as the iterative coordinated beamforming method, while maintaining lower complexity by non-iterative computation of the beamforming and combining matrices. We also show that the proposed method can easily exploit selective gain by choosing the best combination of generalized eigenvectors. © 2006 IEEE.
    Citation
    Park, K.-H., Ko, Y.-C., & Alouini, M.-S. (2010). Low Complexity Non-Iterative Coordinated Beamforming in 2-User Broadcast Channels. IEEE Transactions on Communications, 58(10), 2810–2815. doi:10.1109/tcomm.2010.083110.090013
    Sponsors
    This research was supported in part by the MKE (The Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the NIPA (National IT Industry Promotion Agency) (NIPA-2010-(C1090-1011-0011)) and funded in part by QNRF (A Member of Qatar Foundation).
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Communications
    DOI
    10.1109/TCOMM.2010.083110.090013
    ae974a485f413a2113503eed53cd6c53
    10.1109/TCOMM.2010.083110.090013
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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