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    Optimal power policy and throughput analysis in cognitive broadcast networks under primary's outage constraint


    Limmanee, Athipat and Dey, Subhrakanti (2012) Optimal power policy and throughput analysis in cognitive broadcast networks under primary's outage constraint. In: WiOpt’12: Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks. IEEE, pp. 391-397. ISBN 9781467322942

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    Abstract

    This paper focuses on a spectrum-sharing based cognitive radio fading broadcast channel (BC) with a singleantenna secondary base station (SBS) and M secondary receivers (SRs) concurrently utilizing the same spectrum band with one delay-sensitive primary user (PU). The quality-of-service requirement in the primary network is given by the primary user's outage probability constraint (POC). We address the optimal power allocation problem for the ergodic sum capacity (ESC) maximization in the secondary BC network subject to a POC and an average transmit power constraint at SBS. Optimality conditions reveal that in each fading block SBS will choose only one SR with the highest channel power gain and allocate the block to that user. Furthermore, if PU's power strategy is assumed to be ON-OFF with constant power when ON, the secondary network throughput scaling for largeM in Rayleigh fading is also investigated. It is shown that the secondary sum throughput in Rayleigh fading BC scales like O(log(logM)). Numerical results support the theoretical results derived in the paper.

    Item Type: Book Section
    Additional Information: Cite as: A. Limmanee and S. Dey, "Optimal power policy and throughput analysis in cognitive broadcast networks under primary's outage constraint," 2012 10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), 2012, pp. 391-397.
    Keywords: Optimal Power Policy; Throughput Analysis; Cognitive Broadcast Networks; Primary’s Outage Constraint;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14496
    Depositing User: Subhrakanti Dey
    Date Deposited: 02 Jun 2021 10:57
    Publisher: IEEE
    Refereed: Yes
    URI:

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