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    Service-Outage Capacity Maximization in Cognitive Radio


    Limmanee, Athipat and Dey, Subhrakanti and Evans, Jamie S. (2011) Service-Outage Capacity Maximization in Cognitive Radio. In: 2011 IEEE International Conference on Communications (ICC). IEEE. ISBN 9781612842325

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    Abstract

    In spectrum sharing based cognitive radio networks, unlicensed users (secondary users) are allowed to communicate over the same frequency band as the licensed users (primary users) as long as the required quality-of-service (QoS) of the licensed users is guaranteed. This paper focuses on a cognitive radio network, where a secondary user (SU) sharing the same frequency band with a primary user (PU) wishes to transmit delay-insensitive as well as delay-sensitive data while the PU is interested in meeting a minimum rate guarantee for delay-sensitive services. Typically, PU's are oblivious to the SU's existence and has its own power policy based on channel side information (CSI) of its direct gain between PU transmitter and PU receiver. Under the assumption that SU knows PU's power policy and CSI of the entire network, we solve the optimal power allocation problem of maximizing SU's ergodic capacity subject to PU's outage probability constraint (POC), SU's outage probability constraint (SOC), and SU's average power constraint. We generalize earlier results which considered either ergodic capacity maximization or outage probability minimization for SU with POC, to the so-called service-outage based capacity optimization for SU with POC. We use a rigorous probabilistic power allocation technique that allows us to derive optimal power policies that are applicable to both continuous and discrete fading channels.

    Item Type: Book Section
    Additional Information: Cite as: A. Limmanee, S. Dey and J. S. Evans, "Service-Outage Capacity Maximization in Cognitive Radio," 2011 IEEE International Conference on Communications (ICC), 2011, pp. 1-6, doi: 10.1109/icc.2011.5963465.
    Keywords: Service-outage; Capacity; Maximization; Cognitive Radio;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14484
    Identification Number: https://doi.org/10.1109/icc.2011.5963465
    Depositing User: Subhrakanti Dey
    Date Deposited: 01 Jun 2021 13:53
    Publisher: IEEE
    Refereed: Yes
    URI:

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