Adaptive inverse power control using an FxLMS algorithm

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

12 Citations (Scopus)

Abstract

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
PublisherInstitute of Electrical and Electronic Engineers IEEE
ISBN (Print)1-4244-0266-2
DOIs
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

Publication series

Name
ISSN (Print)1550-2252

Conference

ConferenceIEEE 65th Vehicular Technology Conference, VTC2007-Spring
Abbreviated titleVTC2007-Spring
CountryIreland
CityDublin
Period22/04/0725/04/07

Fingerprint

Power control
Signal to noise ratio
Fading channels
Cognitive radio
Code division multiple access
Numerical analysis

Keywords

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

Cite this

Höyhtyä, M., & Mämmelä, A. (2007). Adaptive inverse power control using an FxLMS algorithm. In 2007 IEEE 65th Vehicular Technology Conference: VTC2007-Spring Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/VETECS.2007.619
Höyhtyä, Marko ; Mämmelä, Aarne. / Adaptive inverse power control using an FxLMS algorithm. 2007 IEEE 65th Vehicular Technology Conference: VTC2007-Spring. Institute of Electrical and Electronic Engineers IEEE, 2007.
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title = "Adaptive inverse power control using an FxLMS algorithm",
abstract = "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.",
keywords = "keywords-adaptive transmission, inverse control, FxLMS algorithm, near-far problem, CDMA, programmable control, power control, least squares approximation, interference",
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Höyhtyä, M & Mämmelä, A 2007, Adaptive inverse power control using an FxLMS algorithm. in 2007 IEEE 65th Vehicular Technology Conference: VTC2007-Spring. Institute of Electrical and Electronic Engineers IEEE, IEEE 65th Vehicular Technology Conference, VTC2007-Spring, Dublin, Ireland, 22/04/07. https://doi.org/10.1109/VETECS.2007.619

Adaptive inverse power control using an FxLMS algorithm. / Höyhtyä, Marko; Mämmelä, Aarne.

2007 IEEE 65th Vehicular Technology Conference: VTC2007-Spring. Institute of Electrical and Electronic Engineers IEEE, 2007.

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

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N2 - 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.

AB - 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.

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Höyhtyä M, Mämmelä A. Adaptive inverse power control using an FxLMS algorithm. In 2007 IEEE 65th Vehicular Technology Conference: VTC2007-Spring. Institute of Electrical and Electronic Engineers IEEE. 2007 https://doi.org/10.1109/VETECS.2007.619