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 language | English |
---|---|
Pages (from-to) | 1-15 |
Journal | EURASIP Journal on Wireless Communications and Networking |
Volume | 2016 |
Issue number | 41 |
DOIs | |
Publication status | Published - 2016 |
MoE publication type | A1 Journal article-refereed |
Keywords
- power control
- feedback control systems
- adaptive signal processing