A unified framework for adaptive inverse power control

Marko Höyhtyä (Corresponding Author), Aarne Mämmelä

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Abstract

In this paper, a unified framework for adaptive inverse power control is developed. It is based on a modified filtered-x least mean square (MFxLMS) algorithm that is proposed and analyzed. A practical version of the algorithm for closed loop power control is also developed. The filtered-x least mean square (FxLMS) algorithm is widely used for inverse control such as noise cancelation. This is the first paper to apply the algorithm for power control. We have modified the conventional FxLMS algorithm by adding absolute value blocks since power control does not need phase information. The modification makes the algorithm more robust and requires fewer bits to be transmitted in the feedback link. The main contribution of the paper is that the proposed algorithm can be seen as generalized inverse control to be used in power control research. It gives a unified framework for several existing algorithms, linking them to the least mean square (LMS) literature. Numerical results are provided, comparing the performance of the proposed algorithm to existing practical algorithms used, e.g., in Third Generation Partnership Project (3GPP) long-term evolution (LTE) systems.
Original languageEnglish
Pages (from-to)1-15
JournalEURASIP Journal on Wireless Communications and Networking
Volume2016
Issue number41
DOIs
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed

Fingerprint

Power control
Long Term Evolution (LTE)
Feedback

Keywords

  • power control
  • feedback control systems
  • adaptive signal processing

Cite this

@article{14245106fb0e42b9aeecaa4ff183b867,
title = "A unified framework for adaptive inverse power control",
abstract = "In this paper, a unified framework for adaptive inverse power control is developed. It is based on a modified filtered-x least mean square (MFxLMS) algorithm that is proposed and analyzed. A practical version of the algorithm for closed loop power control is also developed. The filtered-x least mean square (FxLMS) algorithm is widely used for inverse control such as noise cancelation. This is the first paper to apply the algorithm for power control. We have modified the conventional FxLMS algorithm by adding absolute value blocks since power control does not need phase information. The modification makes the algorithm more robust and requires fewer bits to be transmitted in the feedback link. The main contribution of the paper is that the proposed algorithm can be seen as generalized inverse control to be used in power control research. It gives a unified framework for several existing algorithms, linking them to the least mean square (LMS) literature. Numerical results are provided, comparing the performance of the proposed algorithm to existing practical algorithms used, e.g., in Third Generation Partnership Project (3GPP) long-term evolution (LTE) systems.",
keywords = "power control, feedback control systems, adaptive signal processing",
author = "Marko H{\"o}yhty{\"a} and Aarne M{\"a}mmel{\"a}",
note = "SDA: MIP: CognitComms4CritInfras",
year = "2016",
doi = "10.1186/s13638-016-0540-5",
language = "English",
volume = "2016",
pages = "1--15",
journal = "EURASIP Journal on Wireless Communications and Networking",
issn = "1687-1472",
publisher = "Springer",
number = "41",

}

A unified framework for adaptive inverse power control. / Höyhtyä, Marko (Corresponding Author); Mämmelä, Aarne.

In: EURASIP Journal on Wireless Communications and Networking, Vol. 2016, No. 41, 2016, p. 1-15.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - A unified framework for adaptive inverse power control

AU - Höyhtyä, Marko

AU - Mämmelä, Aarne

N1 - SDA: MIP: CognitComms4CritInfras

PY - 2016

Y1 - 2016

N2 - In this paper, a unified framework for adaptive inverse power control is developed. It is based on a modified filtered-x least mean square (MFxLMS) algorithm that is proposed and analyzed. A practical version of the algorithm for closed loop power control is also developed. The filtered-x least mean square (FxLMS) algorithm is widely used for inverse control such as noise cancelation. This is the first paper to apply the algorithm for power control. We have modified the conventional FxLMS algorithm by adding absolute value blocks since power control does not need phase information. The modification makes the algorithm more robust and requires fewer bits to be transmitted in the feedback link. The main contribution of the paper is that the proposed algorithm can be seen as generalized inverse control to be used in power control research. It gives a unified framework for several existing algorithms, linking them to the least mean square (LMS) literature. Numerical results are provided, comparing the performance of the proposed algorithm to existing practical algorithms used, e.g., in Third Generation Partnership Project (3GPP) long-term evolution (LTE) systems.

AB - In this paper, a unified framework for adaptive inverse power control is developed. It is based on a modified filtered-x least mean square (MFxLMS) algorithm that is proposed and analyzed. A practical version of the algorithm for closed loop power control is also developed. The filtered-x least mean square (FxLMS) algorithm is widely used for inverse control such as noise cancelation. This is the first paper to apply the algorithm for power control. We have modified the conventional FxLMS algorithm by adding absolute value blocks since power control does not need phase information. The modification makes the algorithm more robust and requires fewer bits to be transmitted in the feedback link. The main contribution of the paper is that the proposed algorithm can be seen as generalized inverse control to be used in power control research. It gives a unified framework for several existing algorithms, linking them to the least mean square (LMS) literature. Numerical results are provided, comparing the performance of the proposed algorithm to existing practical algorithms used, e.g., in Third Generation Partnership Project (3GPP) long-term evolution (LTE) systems.

KW - power control

KW - feedback control systems

KW - adaptive signal processing

U2 - 10.1186/s13638-016-0540-5

DO - 10.1186/s13638-016-0540-5

M3 - Article

VL - 2016

SP - 1

EP - 15

JO - EURASIP Journal on Wireless Communications and Networking

JF - EURASIP Journal on Wireless Communications and Networking

SN - 1687-1472

IS - 41

ER -