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    The Approximate Capacity Region of the Symmetric $K$-user Gaussian Interference Channel with Strong Interference

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    Type
    Article
    Authors
    Chaaban, Anas cc
    Sezgin, Aydin
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2016-03-01
    Online Publication Date
    2016-03-01
    Print Publication Date
    2016-05
    Permanent link to this record
    http://hdl.handle.net/10754/601294
    
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    Abstract
    The symmetric K-user interference channel is studied with the goal of characterizing its capacity region in the strong interference regime within a constant gap. The achievable rate region of a scheme combining rate-splitting at the transmitters and interference alignment and successive decoding/computation at the receivers is derived. Next it is shown that this scheme achieves the so-called greedy-max corner points of the capacity region within a constant gap. By combining this result with previous results by Ordentlich et al. on the sum-capacity of the symmetric interference channel, a constant gap characterization of the capacity region for the strong interference regime is obtained. This leads to the first approximate characterization of the capacity region of the symmetric K-user IC. Furthermore, a new scheme that achieves the sum-capacity of the channel in the strong interference regime within a constant gap is also proposed, and the corresponding gap is calculated. The advantage of the new scheme is that it leads to a characterization within a constant gap without leaving an outage set contrary to the scheme by Ordentlich et al..
    Citation
    The Approximate Capacity Region of the Symmetric $K$-user Gaussian Interference Channel with Strong Interference 2016:1 IEEE Transactions on Information Theory
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Information Theory
    DOI
    10.1109/TIT.2016.2536667
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7422790
    ae974a485f413a2113503eed53cd6c53
    10.1109/TIT.2016.2536667
    Scopus Count
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    Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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