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    Benefits of Improper Gaussian Signaling in Interweave Cognitive Radio with Full and Partial CSI

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    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Hedhly, Wafa cc
    Amin, Osama
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering
    Electrical Engineering Program
    Date
    2020
    Permanent link to this record
    http://hdl.handle.net/10754/661470
    
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    Abstract
    In this paper, we investigate the impact of using improper Gaussian signaling (IGS) scheme on the interweave cognitive radio (CR) paradigm when the cognitive user has access to full or partial channel-state-information (CSI). Throughout this work, we analyze the performance of both the primary user (PU) and secondary user (SU) in terms of instantaneous achievable rate and outage probability, for given sensing and detection capabilities. Then, we optimize the IGS scheme for full and partial CSI scenarios to maximize the achievable rate of the SU while maintaining a minimum quality-of-service (QoS) requirement for the PU. Meanwhile, we derive the corresponding feasibility conditions for the interweave cognitive radio system operation. IGS based systems are proven to provide notable gain over the conventional proper Gaussian signaling, which is considered our benchmark scheme. The IGS scheme is observed to be further beneficial at low SU detection capabilities, strong interference from the cognitive user to the licensed user, and lowgain of the PU direct link. Index Terms—Interweave, cognitive radio, improper Gaussian signaling, asymmetric signaling, miss detection, interference channels.
    Citation
    Hedhly, W., Amin, O., & Alouini, M.-S. (2020). Benefits of Improper Gaussian Signaling in Interweave Cognitive Radio with Full and Partial CSI. IEEE Transactions on Cognitive Communications and Networking, 1–1. doi:10.1109/tccn.2020.2971681
    Publisher
    IEEE
    Journal
    IEEE Transactions on Cognitive Communications and Networking
    DOI
    10.1109/TCCN.2020.2971681
    Additional Links
    https://ieeexplore.ieee.org/document/8984228/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8984228
    ae974a485f413a2113503eed53cd6c53
    10.1109/TCCN.2020.2971681
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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