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    Codebook-based interference alignment for uplink MIMO interference channels

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    Type
    Article
    Authors
    Lee, Hyun Ho
    Park, Kihong cc
    Ko, Youngchai
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Communication Theory Lab
    Date
    2014-02
    Permanent link to this record
    http://hdl.handle.net/10754/563383
    
    Metadata
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    Abstract
    In this paper, we propose a codebook-based interference alignment (IA) scheme in the constant multiple-input multipleoutput (MIMO) interference channel especially for the uplink scenario. In our proposed scheme, we assume cooperation among base stations (BSs) through reliable backhaul links so that global channel knowledge is available for all BSs, which enables BS to compute the transmit precoder and inform its quantized index to the associated user via limited rate feedback link.We present an upper bound on the rate loss of the proposed scheme and derive the scaling law of the feedback load tomaintain a constant rate loss relative to IA with perfect channel knowledge. Considering the impact of overhead due to training, cooperation, and feedback, we address the effective degrees of freedom (DOF) of the proposed scheme and derive the maximization of the effective DOF. From simulation results, we verify our analysis on the scaling law to preserve the multiplexing gain and confirm that the proposed scheme is more effective than the conventional IA scheme in terms of the effective DOF. © 2014 KICS.
    Sponsors
    This work has been supported in part by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2012R1A1A2004494) and in part by a grant from King Abdulaziz City of Science and Technology (KACST).
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    Journal of Communications and Networks
    ISSN
    12292370
    DOI
    10.1109/JCN.2014.000005
    ae974a485f413a2113503eed53cd6c53
    10.1109/JCN.2014.000005
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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