DocumentCode
1168705
Title
Adaptive power control for wireless networks using multiple controllers and switching
Author
Paul, Ayanendu ; Akar, Mehmet ; Safonov, Michael G. ; Mitra, Urbashi
Author_Institution
Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
Volume
16
Issue
5
fYear
2005
Firstpage
1212
Lastpage
1218
Abstract
Controlling transmitted power in a wireless network is critical for maintaining quality of service, maximizing channel utilization and minimizing near-far effect for suboptimal receivers. In this paper, a general proportional-integral-derivative (PID) type algorithm for controlling transmitted powers in wireless networks is studied and a systematic way to adapt or tune the parameters of the controller in a distributed fashion is suggested. The proposed algorithm utilizes multiple candidate PID gains. Depending on the prevailing channel conditions, it selects an optimal PID gain from the candidate gain set at each instant and places it in the feedback loop. The algorithm is data driven and can distinguish between stabilizing and destabilizing controller gains as well as rank the stabilizing controllers based on their performance. Simulation results indicate that the proposed scheme performs better than several candidate controllers, including a well known distributed power control (DPC) algorithm.
Keywords
adaptive control; cellular radio; channel allocation; feedback; power transmission control; quality of service; stability; telecommunication networks; three-term control; PID gains; PID type algorithm; adaptive power control; channel utilization; distributed power control algorithm; feedback loop; multiple controller adaptive control; multiple controllers; proportional-integral-derivative type algorithm; quality of service; stabilizing controllers; switching; wireless cellular system; wireless networks; Adaptive control; Control systems; Distributed control; Pi control; Power control; Programmable control; Proportional control; Quality of service; Three-term control; Wireless networks; multiple controller adaptive control (MCAC); power control; proportional-integral-derivative (PID) tuning and adaptation; switched system; unfalsified control; wireless cellular system; Algorithms; Artificial Intelligence; Computer Simulation; Electric Power Supplies; Energy Transfer; Feedback; Information Storage and Retrieval; Internet; Models, Statistical; Pattern Recognition, Automated; Signal Processing, Computer-Assisted; Telecommunications;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/TNN.2005.853420
Filename
1510720
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