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    Effective capacity of correlated MISO channels

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    Type
    Conference Paper
    Authors
    Zhong, Caijun
    Ratnarajah, Tharm
    Wong, Kaikit
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Information Technology Department
    Physical Science and Engineering (PSE) Division
    Date
    2011-06
    Permanent link to this record
    http://hdl.handle.net/10754/565860
    
    Metadata
    Show full item record
    Abstract
    This paper presents an analytical performance investigation of the capacity limits of correlated multiple-input single-output (MISO) channels in the presence of quality-of-service (QoS) requirements. Exact closed-form expression for the effective capacity of correlated MISO channels is derived. In addition, simple expressions are obtained at the asymptotic high and low signal-to-noise ratio (SNR) regimes, which provide insights into the impact of various system parameters on the effective capacity of the system. Also, a complete characterization of the impact of spatial correlation on the effective capacity is provided with the aid of a majorization theory result. The findings suggest that antenna correlation reduce the effective capacity of the channels. Moreover, a stringent QoS requirement causes a significant reduction in the effective capacity but this can be effectively alleviated by increasing the number of antennas. © 2011 IEEE.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2011 IEEE International Conference on Communications (ICC)
    Conference/Event name
    2011 IEEE International Conference on Communications, ICC 2011
    ISBN
    9781612842332
    DOI
    10.1109/icc.2011.5962955
    ae974a485f413a2113503eed53cd6c53
    10.1109/icc.2011.5962955
    Scopus Count
    Collections
    Conference Papers; Information Technology Department; Physical Science and Engineering (PSE) Division; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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