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    Impact of Co-Channel Interference on the Outage Performance Under Multiple Type II Relay Environments

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    Type
    Article
    Authors
    Choi, Seyeong
    Alouini, Mohamed-Slim cc
    Nam, Sung Sik
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2017-11-15
    Online Publication Date
    2017-11-15
    Print Publication Date
    2017
    Permanent link to this record
    http://hdl.handle.net/10754/626789
    
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    Abstract
    In this paper, through an exact analysis of the outage probability, we investigate the impact of co-channel interference (CCI) on the outage performance of type II (or user equipment) relay under multiple-relay environments considering the selection combining-based relay selection scheme with the decode-and-forward protocol. We consider the signal to interference plus noise ratio (SINR) over both independent and identically distributed and independent but non-identically distributed fading channels. To fully take into account the effect of CCI, we adopt a more practical parameter such as the CCI coefficient. The major difficulty in the analysis resides in the determination of the statistics of the output SINR. To settle this problem, we first present the general but relatively simplified expressions for the statistics and then the related outage probability in closed-form. Furthermore, to consider more practical scenario, based on the fact that the number of participating relays can be random, we investigate the average outage probability by averaging the number of participating relays.
    Citation
    Choi S, Alouini M-S, Nam SS (2017) Impact of Co-Channel Interference on the Outage Performance Under Multiple Type II Relay Environments. IEEE Access 5: 26201–26210. Available: http://dx.doi.org/10.1109/ACCESS.2017.2773630.
    Sponsors
    This work was supported by Wonkwang University in 2017.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Access
    DOI
    10.1109/ACCESS.2017.2773630
    Additional Links
    http://ieeexplore.ieee.org/document/8110613/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ACCESS.2017.2773630
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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