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    Adaptive transmission schemes for MISO spectrum sharing systems

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    Type
    Conference Paper
    Authors
    Bouida, Zied
    Ghrayeb, Ali A.
    Qaraqe, Khalid A.
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Communication Theory Lab
    Date
    2013-06
    Permanent link to this record
    http://hdl.handle.net/10754/564739
    
    Metadata
    Show full item record
    Abstract
    We propose three adaptive transmission techniques aiming to maximize the capacity of a multiple-input-single-output (MISO) secondary system under the scenario of an underlay cognitive radio network. In the first scheme, namely the best antenna selection (BAS) scheme, the antenna maximizing the capacity of the secondary link is used for transmission. We then propose an orthogonal space time bloc code (OSTBC) transmission scheme using the Alamouti scheme with transmit antenna selection (TAS), namely the TAS/STBC scheme. The performance improvement offered by this scheme comes at the expense of an increased complexity and delay when compared to the BAS scheme. As a compromise between these schemes, we propose a hybrid scheme using BAS when only one antenna verifies the interference condition and TAS/STBC when two or more antennas are illegible for communication. We first derive closed-form expressions of the statistics of the received signal-to-interference-and-noise ratio (SINR) at the secondary receiver (SR). These results are then used to analyze the performance of the proposed techniques in terms of the average spectral efficiency, the average number of transmit antennas, and the average bit error rate (BER). This performance is then illustrated via selected numerical examples. © 2013 IEEE.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
    Conference/Event name
    2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013
    ISBN
    9781467355773
    DOI
    10.1109/SPAWC.2013.6612092
    ae974a485f413a2113503eed53cd6c53
    10.1109/SPAWC.2013.6612092
    Scopus Count
    Collections
    Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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