Adaptive inverse power control using an FxLMS algorithm

Marko Höyhtyä, Aarne Mämmelä

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    13 Citations (Scopus)


    In this paper, a novel adaptive inverse power control method that is based on the filtered-x LMS (FxLMS) algorithm is introduced. Inverse power control minimizes the interference that a cognitive radio creates to licensed users and allows more users to share the spectrum. It is also needed in multi-access systems like code division multiple access (CDMA) to alleviate the near-far problem. The proposed variable step algorithm adjusts the step size in a nearly optimal way. Based on numerical analysis this new method clearly improves system performance compared to the algorithm where the well-known fixed or variable step adjustment power control is used. A normalized version of the FxLMS algorithm is needed in a fading channel. In a slowly fading channel (e.g., normalized Doppler frequency of 0.001) the FxLMS power control can keep the received signal-to-noise ratio (SNR) in the desired level with a good accuracy most of the time. The standard deviation of the received SNR is 1.92 dB when the received SNR is kept at 10 dB. The results with almost all different SNR values are better than the other methods can achieve.
    Original languageEnglish
    Title of host publication2007 IEEE 65th Vehicular Technology Conference
    Subtitle of host publicationVTC2007-Spring
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Print)978-1-4244-0266-3
    Publication statusPublished - 2007
    MoE publication typeA4 Article in a conference publication
    EventIEEE 65th Vehicular Technology Conference, VTC2007-Spring - Dublin, Ireland
    Duration: 22 Apr 200725 Apr 2007
    Conference number: 65


    ConferenceIEEE 65th Vehicular Technology Conference, VTC2007-Spring
    Abbreviated titleVTC2007-Spring


    • keywords-adaptive transmission
    • inverse control
    • FxLMS algorithm
    • near-far problem
    • CDMA
    • programmable control
    • power control
    • least squares approximation
    • interference


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